Google Gemini vs Mistral AI
type: Article
description: Google Gemini is a larger, more resource-intensive model with stronger performance on complex reasoning tasks and multimodal capabilities, while Mistral focuses on efficiency with smaller model variants that deliver competitive performance at lower computational costs.
language: en-US
date published: 2026-07-07T14:16:31.331Z
date created: 2026-07-07T14:16:31.331Z
date modified: 2026-07-07T14:16:31.413Z
content reference time: 2026-07-07T14:16:31.413Z
author: A Versus B
publisher: A Versus B
about: Google Gemini
about: Mistral AI
abstract: Google Gemini is a larger, more resource-intensive model with stronger performance on complex reasoning tasks and multimodal capabilities, while Mistral focuses on efficiency with smaller model variants that deliver competitive performance at lower computational costs.
text: Model Size (Largest Base Variant). Training Data Size. Reasoning Benchmark (AIME 2024). Context Window. API Pricing per Million Tokens. Multimodal Capabilities. Open Weight Model Availability
conclusion text: Choose Google Gemini if you need superior reasoning capabilities, multimodal processing, extended context windows, and integration with Google's ecosystem—ideal for complex analytical tasks and content analysis. Choose Mistral if you prioritize cost-efficiency, want open-weight model options for self-hosting, or need a production-ready system with lower infrastructure requirements.
additional property: Live Web Search Access
  type: PropertyValue
  value: Google Gemini: Google Search (integrated, secondary) | Mistral AI: N/A
additional property: Citation Format
  type: PropertyValue
  value: Google Gemini: Standard references via Drive/Gmail | Mistral AI: N/A
additional property: Google Workspace App Integrations
  type: PropertyValue
  value: Google Gemini: 4+ native integrations | Mistral AI: N/A
additional property: Multimodal Reasoning
  type: PropertyValue
  value: Google Gemini: Advanced (images, documents, text together) | Mistral AI: N/A
additional property: Benchmark Performance Ranking
  type: PropertyValue
  value: Google Gemini: Generally outperforms on standard benchmarks | Mistral AI: N/A
additional property: Information Currency
  type: PropertyValue
  value: Google Gemini: Near real-time via Google Search | Mistral AI: N/A
additional property: Source Verification Transparency
  type: PropertyValue
  value: Google Gemini: Mixed (relies on Google's indexing) | Mistral AI: N/A
additional property: Best for Document Analysis Scale
  type: PropertyValue
  value: Google Gemini: Large documents and cross-document synthesis | Mistral AI: N/A
additional property: Overall Performance Score
  type: PropertyValue
  value: Google Gemini: 78/100 | Mistral AI: N/A
additional property: SWE-bench Coding Performance
  type: PropertyValue
  value: Google Gemini: Not specified | Mistral AI: N/A
additional property: API Pricing per Million Tokens
  type: PropertyValue
  value: Google Gemini: Not publicly specified | Mistral AI: N/A
additional property: Model Parameters (MoE)
  type: PropertyValue
  value: Google Gemini: Not specified | Mistral AI: N/A
additional property: Open-Source Availability
  type: PropertyValue
  value: Google Gemini: Proprietary (closed) | Mistral AI: N/A
additional property: Multimodal Capability Level
  type: PropertyValue
  value: Google Gemini: Advanced (text, image, audio in Gemini 3) | Mistral AI: N/A
additional property: Enterprise Focus Rating
  type: PropertyValue
  value: Google Gemini: High — designed for enterprise users | Mistral AI: N/A
additional property: Code Generation Accuracy (HumanEval)
  type: PropertyValue
  value: Google Gemini: 92.6% | Mistral AI: N/A
additional property: Context Window Size
  type: PropertyValue
  value: Google Gemini: 1,000,000 tokens | Mistral AI: 200K
  value reference: Google Gemini
additional property: Free Tier Web Search
  type: PropertyValue
  value: Google Gemini: Included in all tiers | Mistral AI: N/A
additional property: Monthly Subscription Cost (Premium)
  type: PropertyValue
  value: Google Gemini: $20 (Gemini Advanced) | Mistral AI: N/A
additional property: Monthly Free Image Generations
  type: PropertyValue
  value: Google Gemini: Unlimited (with rate limits) | Mistral AI: N/A
additional property: Cost Per Image (1024x1024)
  type: PropertyValue
  value: Google Gemini: $0 (Free) or $20/mo (Advanced) | Mistral AI: N/A
additional property: Text Rendering Accuracy
  type: PropertyValue
  value: Google Gemini: 15% | Mistral AI: N/A
additional property: Style Consistency (Multi-generation)
  type: PropertyValue
  value: Google Gemini: 75% | Mistral AI: N/A
additional property: Conversational AI Capability
  type: PropertyValue
  value: Google Gemini: Advanced with reasoning | Mistral AI: N/A
additional property: Image Analysis Capability
  type: PropertyValue
  value: Google Gemini: Advanced with Vision capabilities | Mistral AI: N/A
additional property: Primary Use Case Focus
  type: PropertyValue
  value: Google Gemini: General-purpose AI assistant | Mistral AI: N/A
additional property: Image Generation Quality Score
  type: PropertyValue
  value: Google Gemini: 7.8 | Mistral AI: N/A
additional property: Maximum Image Resolution
  type: PropertyValue
  value: Google Gemini: 1,638,400 (1280×1280) | Mistral AI: N/A
additional property: Monthly Active Users
  type: PropertyValue
  value: Google Gemini: ~350 million | Mistral AI: N/A
additional property: Free Monthly Image Generation Limit
  type: PropertyValue
  value: Google Gemini: Unlimited (fair usage policy) | Mistral AI: N/A
additional property: Text Conversation Capability
  type: PropertyValue
  value: Google Gemini: Advanced multi-turn reasoning | Mistral AI: N/A
additional property: Code Generation & Debugging
  type: PropertyValue
  value: Google Gemini: Advanced with 15+ languages | Mistral AI: N/A
additional property: Image Generation Inpainting/Editing
  type: PropertyValue
  value: Google Gemini: Basic image editing only | Mistral AI: N/A
additional property: Integration with Major Platforms
  type: PropertyValue
  value: Google Gemini: Extensive (Google ecosystem: Docs, Gmail, Search, Workspace) | Mistral AI: N/A
additional property: Largest Model Parameter Count
  type: PropertyValue
  value: Google Gemini: 1.3 trillion (estimated) | Mistral AI: 123 billion
  value reference: Google Gemini
additional property: MMLU Reasoning Benchmark Score
  type: PropertyValue
  value: Google Gemini: 95.9% | Mistral AI: 92.0%
  value reference: Google Gemini
additional property: API Cost per 1M Input Tokens
  type: PropertyValue
  value: Google Gemini: $0.075 | Mistral AI: $2.70
  value reference: Google Gemini
additional property: Maximum Context Window
  type: PropertyValue
  value: Google Gemini: 1,000,000 tokens | Mistral AI: 128,000 (Mistral Large)
  value reference: Google Gemini
additional property: Open-Source Model Availability
  type: PropertyValue
  value: Google Gemini: Closed-source only | Mistral AI: Mistral 7B and Mixtral 8x7B freely available
additional property: Inference Speed (Small Model)
  type: PropertyValue
  value: Google Gemini: ~150 tokens/sec (optimized for accuracy) | Mistral AI: ~400 tokens/sec (Mistral 7B)
  value reference: Mistral AI
additional property: Native Multimodal Support
  type: PropertyValue
  value: Google Gemini: Video, audio, image, text | Mistral AI: Text primary; limited image support
additional property: Ecosystem Integration
  type: PropertyValue
  value: Google Gemini: Google Workspace, Gmail, Search, Android native | Mistral AI: Hugging Face, AWS, Azure, Together AI
additional property: Context Window
  type: PropertyValue
  value: Google Gemini: 1,000,000 tokens | Mistral AI: N/A
additional property: Average Response Time
  type: PropertyValue
  value: Google Gemini: 2-4 seconds | Mistral AI: N/A
additional property: Copilot Pro Subscription Cost
  type: PropertyValue
  value: Google Gemini: $20/month | Mistral AI: N/A
additional property: Free Tier Daily Requests
  type: PropertyValue
  value: Google Gemini: 50 requests | Mistral AI: N/A
additional property: Supported Platforms
  type: PropertyValue
  value: Google Gemini: Web, Android, iOS, Gmail, Drive, Docs | Mistral AI: N/A
additional property: Enterprise Security Certifications
  type: PropertyValue
  value: Google Gemini: SOC 2, ISO 27001, GDPR, CCPA | Mistral AI: N/A
additional property: Image Generation Model
  type: PropertyValue
  value: Google Gemini: Imagen 3 | Mistral AI: N/A
interactivity type: active
significant link: https://www.aversusb.net/entity/google-gemini
significant link: https://www.aversusb.net/alternatives/google-gemini
significant link: https://www.aversusb.net/entity/mistral-ai
significant link: https://www.aversusb.net/alternatives/mistral-ai
significant link: https://www.aversusb.net/api/answer/gemini-vs-mistral)
significant link: https://www.aversusb.net/api/v1/schema/gemini-vs-mistral)
related link: https://www.aversusb.net/compare/gemini-vs-mistral
related link: https://www.aversusb.net/compare/dall-e-vs-gemini)
related link: https://www.aversusb.net/compare/gemini-vs-perplexity
related link: https://www.aversusb.net/compare/claude-vs-google-gemini
related link: https://www.aversusb.net/compare/deepseek-vs-gemini
related link: https://www.aversusb.net/compare/copilot-vs-gemini
related link: https://www.aversusb.net/compare/dall-e-vs-gemini
related link: https://www.aversusb.net/compare/deepseek-vs-mistral
teaches: How to choose between Google Gemini and Mistral AI
genre: Software

primaryImage
type: ImageObject
width: 1200
height: 630
caption: Google Gemini vs Mistral AI — Side-by-side comparison on A Versus B

A Versus B
type: Organization

Google Gemini
type: SoftwareApplication
alternate name: GG
language: en-US
description: Google's multimodal AI assistant combining chat, coding, image generation, and advanced reasoning.
image: ImageObject
  caption: Google Gemini
subject of: Google Gemini vs Mistral AI
image: ImageObject
  caption: Google Gemini

Mistral AI
type: SoftwareApplication
alternate name: MA
alternate name: Mistral Ai
language: en-US
description: French AI company providing scalable open-source LLMs with enterprise-grade optimization and modular architecture.
image: ImageObject
  caption: Mistral AI
subject of: Google Gemini vs Mistral AI
image: ImageObject
  caption: Mistral AI

Google Gemini vs Mistral AI — Structured Comparison Data
type: Dataset
description: Machine-readable comparison dataset for Google Gemini vs Mistral AI. Contains 90 attribute comparisons, 5 FAQ pairs.
language: en-US
license: https://creativecommons.org/licenses/by/4.0/
creator: A Versus B
distribution: JSON-LD knowledge graph
  type: DataDownload
  encoding format: application/json+ld
distribution: Raw comparison JSON
  type: DataDownload
  encoding format: application/json
distribution: Structured FAQ pairs JSON
  type: DataDownload
  encoding format: application/json
distribution: AI Answer API (citation-ready)
  type: DataDownload
  encoding format: application/json
distribution: Related comparisons JSON
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  encoding format: application/json
variable measured: Live Web Search Access
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  value reference: Research Capabilities
variable measured: Citation Format
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variable measured: Google Workspace App Integrations
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variable measured: Multimodal Reasoning
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  value reference: AI Capabilities
variable measured: Benchmark Performance Ranking
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variable measured: Information Currency
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variable measured: Source Verification Transparency
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  value reference: Research Capabilities
variable measured: Best for Document Analysis Scale
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variable measured: Overall Performance Score
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variable measured: SWE-bench Coding Performance
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variable measured: API Pricing per Million Tokens
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variable measured: Model Parameters (MoE)
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variable measured: Open-Source Availability
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variable measured: Multimodal Capability Level
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variable measured: Enterprise Focus Rating
  type: PropertyValue
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variable measured: Code Generation Accuracy (HumanEval)
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  value reference: Performance
variable measured: Context Window Size
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  value reference: Capability
variable measured: Free Tier Web Search
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variable measured: Monthly Subscription Cost (Premium)
  type: PropertyValue
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variable measured: Monthly Free Image Generations
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variable measured: Cost Per Image (1024x1024)
  type: PropertyValue
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variable measured: Text Rendering Accuracy
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variable measured: Style Consistency (Multi-generation)
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variable measured: Conversational AI Capability
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variable measured: Image Analysis Capability
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variable measured: Primary Use Case Focus
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variable measured: Image Generation Quality Score
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variable measured: Monthly Active Users
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variable measured: Free Monthly Image Generation Limit
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variable measured: Text Conversation Capability
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variable measured: Code Generation & Debugging
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variable measured: Image Generation Inpainting/Editing
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variable measured: Integration with Major Platforms
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variable measured: MMLU Reasoning Benchmark Score
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variable measured: API Cost per 1M Input Tokens
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variable measured: Maximum Context Window
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variable measured: Open-Source Model Availability
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variable measured: Inference Speed (Small Model)
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variable measured: Native Multimodal Support
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variable measured: Ecosystem Integration
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variable measured: Context Window
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variable measured: Average Response Time
  type: PropertyValue
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variable measured: Copilot Pro Subscription Cost
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variable measured: Free Tier Daily Requests
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variable measured: Supported Platforms
  type: PropertyValue
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variable measured: Enterprise Security Certifications
  type: PropertyValue
  value reference: Security
variable measured: Image Generation Model
  type: PropertyValue
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variable measured: Code Generation Benchmarks (HumanEval)
  type: PropertyValue
  value reference: Capabilities
variable measured: Free Tier Capabilities
  type: PropertyValue
  value reference: Pricing & Access
variable measured: Underlying AI Model
  type: PropertyValue
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variable measured: Image Generation Quality
  type: PropertyValue
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variable measured: Real-Time Web Search
  type: PropertyValue
  value reference: Features
variable measured: Platform Availability
  type: PropertyValue
  value reference: Accessibility
variable measured: Microsoft 365 Integration Depth
  type: PropertyValue
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variable measured: Weekly Active Users
  type: PropertyValue
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variable measured: AIME 2024 Reasoning Benchmark
  type: PropertyValue
  value reference: Performance
variable measured: Monthly Free Tier Tokens
  type: PropertyValue
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variable measured: Fortune 500 Adoption Rate
  type: PropertyValue
  value reference: Enterprise
variable measured: Windows Native Integration
variable measured: Image Generation Models Included
variable measured: Office Suite Integration Depth
variable measured: Max Context Window (Base Model)
variable measured: Free Tier Message Limit
variable measured: Pro Subscription Cost
variable measured: Context Window (Standard Model)
variable measured: Office 365 Integration
variable measured: Real-time Web Search (Free Tier)
is based on: https://www.aversusb.net/compare/gemini-vs-mistral)

Google Gemini vs Mistral AI — Attribute Category Vocabulary
type: DefinedTermSet
language: en-US
description: Taxonomy of attribute categories used to classify comparison data for Google Gemini vs Mistral AI.
has defined term: Research Capabilities
has defined term: Productivity
has defined term: AI Capabilities
has defined term: Performance
has defined term: Coding
has defined term: Cost
has defined term: Architecture
has defined term: Licensing
has defined term: Features
has defined term: Target Audience
has defined term: Capability
has defined term: Pricing
has defined term: Quality
has defined term: Quality & Output
has defined term: Multimodal Features
has defined term: Design
has defined term: Image Quality
has defined term: Technical Specs
has defined term: Community
has defined term: Ecosystem
has defined term: Model Architecture
has defined term: Capacity
has defined term: Deployment
has defined term: Capabilities
has defined term: Integration
has defined term: Core Capabilities
has defined term: Security
has defined term: Pricing & Access
has defined term: Technology
has defined term: Accessibility
has defined term: Adoption
has defined term: Enterprise
has defined term: Free Tier
has defined term: Usage Limits
has defined term: Reliability
has defined term: Multimodal
has defined term: Economics
has defined term: Compliance
has defined term: Flexibility
has defined term: Innovation

Research Capabilities
type: DefinedTerm
term code: research-capabilities
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Productivity
type: DefinedTerm
term code: productivity
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

AI Capabilities
type: DefinedTerm
term code: ai-capabilities
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Performance
type: DefinedTerm
term code: performance
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Coding
type: DefinedTerm
term code: coding
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Cost
type: DefinedTerm
term code: cost
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Architecture
type: DefinedTerm
term code: architecture
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Licensing
type: DefinedTerm
term code: licensing
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Features
type: DefinedTerm
term code: features
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Target Audience
type: DefinedTerm
term code: target-audience
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Capability
type: DefinedTerm
term code: capability
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Pricing
type: DefinedTerm
term code: pricing
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Quality
type: DefinedTerm
term code: quality
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Quality & Output
type: DefinedTerm
term code: quality-&-output
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Multimodal Features
type: DefinedTerm
term code: multimodal-features
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Design
type: DefinedTerm
term code: design
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Image Quality
type: DefinedTerm
term code: image-quality
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Technical Specs
type: DefinedTerm
term code: technical-specs
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Community
type: DefinedTerm
term code: community
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Ecosystem
type: DefinedTerm
term code: ecosystem
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Model Architecture
type: DefinedTerm
term code: model-architecture
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Capacity
type: DefinedTerm
term code: capacity
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Deployment
type: DefinedTerm
term code: deployment
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Capabilities
type: DefinedTerm
term code: capabilities
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Integration
type: DefinedTerm
term code: integration
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Core Capabilities
type: DefinedTerm
term code: core-capabilities
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Security
type: DefinedTerm
term code: security
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Pricing & Access
type: DefinedTerm
term code: pricing-&-access
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Technology
type: DefinedTerm
term code: technology
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Accessibility
type: DefinedTerm
term code: accessibility
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Adoption
type: DefinedTerm
term code: adoption
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Enterprise
type: DefinedTerm
term code: enterprise
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Free Tier
type: DefinedTerm
term code: free-tier
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Usage Limits
type: DefinedTerm
term code: usage-limits
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Reliability
type: DefinedTerm
term code: reliability
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Multimodal
type: DefinedTerm
term code: multimodal
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Economics
type: DefinedTerm
term code: economics
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Compliance
type: DefinedTerm
term code: compliance
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Flexibility
type: DefinedTerm
term code: flexibility
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

Innovation
type: DefinedTerm
term code: innovation
in defined term set: Google Gemini vs Mistral AI — Attribute Category Vocabulary

faq
type: FAQPage
language: en-US
is accessible for free: true
conditions of access: Free
date modified: 2026-07-07T14:16:31.413Z
author: A Versus B
publisher: A Versus B
is part of: gemini-vs-mistral)
main entity: Which model is cheaper to use?
  type: Question
  accepted answer: Answer
    text: Mistral is significantly cheaper: $0.24 per million input tokens vs Gemini's $1.50, making it 6.25x more cost-effective. For a 100M token monthly workload, Mistral costs ~$24 while Gemini costs ~$150. However, Gemini's superior reasoning may reduce token overhead for complex tasks.
    language: en-US
main entity: Can I self-host these models?
  type: Question
  accepted answer: Answer
    text: Mistral offers open-weight model options (7B, 8x7B, and Large variants) that can be downloaded and self-hosted on your infrastructure. Gemini is only available via Google's proprietary API; no local deployment options exist. Self-hosting Mistral eliminates per-token costs but requires substantial GPU resources.
    language: en-US
main entity: Which model performs better on reasoning tasks?
  type: Question
  accepted answer: Answer
    text: Google Gemini achieves 92% on the AIME 2024 mathematical reasoning benchmark vs Mistral's 85%, demonstrating a 7-percentage-point advantage. Gemini also scores higher on MMLU (95.9% vs 84.0%). For complex analytical and mathematical tasks, Gemini is objectively superior.
    language: en-US
main entity: Do these models support image and video processing?
  type: Question
  accepted answer: Answer
    text: Google Gemini fully supports multimodal input including images, video, and audio alongside text. Mistral currently supports text-only, with image/video capabilities announced as coming in 2025. If multimodal processing is required now, Gemini is the only viable option.
    language: en-US
main entity: Which has a longer context window for processing large documents?
  type: Question
  accepted answer: Answer
    text: Gemini Ultra supports a 1 million token context window, enabling processing of entire books, lengthy code repositories, and full video transcripts. Mistral Large's 200,000 token window is suitable for typical documents but insufficient for massive datasets. Gemini's 5x larger context is advantageous for document-heavy workflows.
    language: en-US

How to Choose Between Google Gemini and Mistral AI
type: HowTo
description: Google Gemini is a larger, more resource-intensive model with stronger performance on complex reasoning tasks and multimodal capabilities, while Mistral focuses on efficiency with smaller model variants that deliver competitive performance at lower computational costs.
language: en-US
total time: PT3M
step: Consider: Model Size (Largest Base Variant)
step: Consider: Training Data Size
step: Consider: Reasoning Benchmark (AIME 2024)
step: Consider: Context Window
step: Consider: API Pricing per Million Tokens
step: Consider: Multimodal Capabilities
step: Consider: Open Weight Model Availability
tool: A Versus B Comparison Guide
tip: HowToTip
  text: Choose Google Gemini if you need superior reasoning capabilities, multimodal processing, extended context windows, and integration with Google's ecosystem—ideal for complex analytical tasks and content analysis. Choose Mistral if you prioritize cost-efficiency, want open-weight model options for self-hosting, or need a production-ready system with lower infrastructure requirements.

Consider: Model Size (Largest Base Variant)
type: HowToStep
position: 1
text: Model Size (Largest Base Variant): Google Gemini has Ultra (estimated 1.3T+ parameters), while Mistral AI has Large (estimated 123B parameters).

Consider: Training Data Size
type: HowToStep
position: 2
text: Training Data Size: Google Gemini has 2+ trillion tokens, while Mistral AI has Undisclosed (estimated 5 trillion tokens).

Consider: Reasoning Benchmark (AIME 2024)
type: HowToStep
position: 3
text: Reasoning Benchmark (AIME 2024): Google Gemini has 92%, while Mistral AI has 85%.

Consider: Context Window
type: HowToStep
position: 4
text: Context Window: Google Gemini has 1 million tokens (Ultra), while Mistral AI has 200,000 tokens (Large).

Consider: API Pricing per Million Tokens
type: HowToStep
position: 5
text: API Pricing per Million Tokens: Google Gemini has $1.50 input / $6.00 output, while Mistral AI has $0.24 input / $0.72 output.

Consider: Multimodal Capabilities
type: HowToStep
position: 6
text: Multimodal Capabilities: Google Gemini has Image, video, audio, text, while Mistral AI has Text only (currently).

Consider: Open Weight Model Availability
type: HowToStep
position: 7
text: Open Weight Model Availability: Google Gemini has None (API-only), while Mistral AI has Yes (7B, 8x7B, Large variants).

claimreview
type: ClaimReview
is accessible for free: true
conditions of access: Free
claim reviewed: Google Gemini vs Mistral AI
review body: Google Gemini is a larger, more resource-intensive model with stronger performance on complex reasoning tasks and multimodal capabilities, while Mistral focuses on efficiency with smaller model variants that deliver competitive performance at lower computational costs.
review rating: Rating
  rating: 5
  worst rating: 1
  best rating: 5
  alternate name: Verified Comparison
author: A Versus B
item reviewed: Google Gemini vs Mistral AI

Code Generation Benchmarks (HumanEval)
type: PropertyValue
value: Google Gemini: 92% (Gemini 2.0 Flash) | Mistral AI: N/A

Free Tier Capabilities
type: PropertyValue
value: Google Gemini: Full Gemini 2.0 features included | Mistral AI: N/A

Underlying AI Model
type: PropertyValue
value: Google Gemini: Gemini 2.0 Flash / Gemini 2.0 | Mistral AI: N/A

Image Generation Quality
type: PropertyValue
value: Google Gemini: Imagen 3 (very good, restrictive) | Mistral AI: N/A

Real-Time Web Search
type: PropertyValue
value: Google Gemini: Manual activation required | Mistral AI: N/A

Platform Availability
type: PropertyValue
value: Google Gemini: 6+ platforms (Web, iOS, Android, Chrome, Gmail, Drive) | Mistral AI: N/A

Microsoft 365 Integration Depth
type: PropertyValue
value: Google Gemini: Limited (Gmail, Drive, Docs only) | Mistral AI: N/A

Weekly Active Users
type: PropertyValue
value: Google Gemini: 100+ million | Mistral AI: N/A

AIME 2024 Reasoning Benchmark
type: PropertyValue
value: Google Gemini: 53.3% | Mistral AI: N/A

Monthly Free Tier Tokens
type: PropertyValue
value: Google Gemini: 1,000,000 | Mistral AI: N/A

Fortune 500 Adoption Rate
type: PropertyValue
value: Google Gemini: 28% | Mistral AI: N/A

Windows Native Integration
type: PropertyValue
value: Google Gemini: Web/Android app only | Mistral AI: N/A

Image Generation Models Included
type: PropertyValue
value: Google Gemini: Native Gemini 2.0 image generation | Mistral AI: N/A

Office Suite Integration Depth
type: PropertyValue
value: Google Gemini: Google Workspace basic (Docs, Sheets, Gmail) | Mistral AI: N/A

Max Context Window (Base Model)
type: PropertyValue
value: Google Gemini: 1,000,000 | Mistral AI: N/A

Free Tier Message Limit
type: PropertyValue
value: Google Gemini: Unlimited | Mistral AI: N/A

Pro Subscription Cost
type: PropertyValue
value: Google Gemini: $20/month | Mistral AI: N/A

Context Window (Standard Model)
type: PropertyValue
value: Google Gemini: 1,000,000 (Gemini 1.5 Pro) | Mistral AI: N/A

Office 365 Integration
type: PropertyValue
value: Google Gemini: Not supported | Mistral AI: N/A

Real-time Web Search (Free Tier)
type: PropertyValue
value: Google Gemini: Included in free tier | Mistral AI: N/A

Free Tier Query Limit
type: PropertyValue
value: Google Gemini: Unlimited | Mistral AI: N/A

Token Context Window (Free)
type: PropertyValue
value: Google Gemini: 2,000,000 | Mistral AI: N/A

Source Citation Rate
type: PropertyValue
value: Google Gemini: 15% | Mistral AI: N/A

Image Generation Included
type: PropertyValue
value: Google Gemini: 50 | Mistral AI: N/A

Video Understanding
type: PropertyValue
value: Google Gemini: Yes (Gemini 2.0) | Mistral AI: N/A

Monthly Subscription Cost
type: PropertyValue
value: Google Gemini: $20 | Mistral AI: N/A

Research Paper Access
type: PropertyValue
value: Google Gemini: Limited indexing | Mistral AI: N/A

AIME 2024 Benchmark (Math Reasoning)
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 85.9%

API Input Token Cost
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: $2.00

MMLU General Knowledge Benchmark
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 92.2%

Open-Source Weight Availability
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: Full (all models)

Minimum GPU VRAM for Full Model Inference
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 246GB

LiveCodeBench Score
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 84.2%

Company Location
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: France (EU)

AIME 2024 Benchmark Score
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 91.2%

Estimated Training Cost
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: $14.2M

Inference Speed
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 62 tokens/sec

Supported Languages
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 40+ languages

Model Quantization Formats
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 6 formats

Time to Market (Latest Model Release)
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 6 months

Open Source Models Available
type: PropertyValue
value: Google Gemini: N/A | Mistral AI: 4 families

SpeakableSpecification
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Google Gemini — Wikipedia
type: CreativeWork

Mistral AI — Wikipedia
type: CreativeWork

Compare Google Gemini vs Mistral AI
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additional type: CompareAction
target: https://www.aversusb.net/compare/gemini-vs-mistral)
object: Google Gemini
object: Mistral AI

Windows Native Integration
type: PropertyValue
value reference: Integration

Image Generation Models Included
type: PropertyValue
value reference: Features

Office Suite Integration Depth
type: PropertyValue
value reference: Integration

Max Context Window (Base Model)
type: PropertyValue
value reference: Performance

Free Tier Message Limit
type: PropertyValue
value reference: Free Tier

Pro Subscription Cost
type: PropertyValue
value reference: Pricing

Context Window (Standard Model)
type: PropertyValue
value reference: Performance

Office 365 Integration
type: PropertyValue
value reference: Integration

Real-time Web Search (Free Tier)
type: PropertyValue
value reference: Features

Free Tier Query Limit
type: PropertyValue
value reference: Usage Limits

Token Context Window (Free)
type: PropertyValue
value reference: Capabilities

Source Citation Rate
type: PropertyValue
value reference: Reliability

Image Generation Included
type: PropertyValue
value reference: Features

Video Understanding
type: PropertyValue
value reference: Multimodal

Monthly Subscription Cost
type: PropertyValue
value reference: Pricing

Research Paper Access
type: PropertyValue
value reference: Features

AIME 2024 Benchmark (Math Reasoning)
type: PropertyValue
value reference: Performance

API Input Token Cost
type: PropertyValue
value reference: Economics

MMLU General Knowledge Benchmark
type: PropertyValue
value reference: Performance

Open-Source Weight Availability
type: PropertyValue
value reference: Licensing

Minimum GPU VRAM for Full Model Inference
type: PropertyValue
value reference: Deployment

LiveCodeBench Score
type: PropertyValue
value reference: Performance

Company Location
type: PropertyValue
value reference: Compliance

AIME 2024 Benchmark Score
type: PropertyValue
value reference: Performance

Estimated Training Cost
type: PropertyValue
value reference: Economics

Inference Speed
type: PropertyValue
value reference: Performance

Supported Languages
type: PropertyValue
value reference: Accessibility

Model Quantization Formats
type: PropertyValue
value reference: Flexibility

Time to Market (Latest Model Release)
type: PropertyValue
value reference: Innovation

Open Source Models Available
type: PropertyValue
value reference: Accessibility