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.
Google Gemini vs Mistral AI — Side-by-side comparison on A Versus B
Google's multimodal AI assistant combining chat, coding, image generation, and advanced reasoning.
French AI company providing scalable open-source LLMs with enterprise-grade optimization and modular architecture.
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
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.
Google Gemini: Google Search (integrated, secondary) | Mistral AI: N/A
Google Gemini: Standard references via Drive/Gmail | Mistral AI: N/A
Google Gemini: 4+ native integrations | Mistral AI: N/A
Google Gemini: Advanced (images, documents, text together) | Mistral AI: N/A
Google Gemini: Generally outperforms on standard benchmarks | Mistral AI: N/A
Google Gemini: Near real-time via Google Search | Mistral AI: N/A
Google Gemini: Mixed (relies on Google's indexing) | Mistral AI: N/A
Google Gemini: Large documents and cross-document synthesis | Mistral AI: N/A
Google Gemini: Not specified | Mistral AI: N/A
Google Gemini: Not publicly specified | Mistral AI: N/A
Google Gemini: Proprietary (closed) | Mistral AI: N/A
Google Gemini: Advanced (text, image, audio in Gemini 3) | Mistral AI: N/A
Google Gemini: High — designed for enterprise users | Mistral AI: N/A
Google Gemini: 1,000,000 tokens | Mistral AI: 200K
Google Gemini: Included in all tiers | Mistral AI: N/A
Google Gemini: $20 (Gemini Advanced) | Mistral AI: N/A
Google Gemini: Unlimited (with rate limits) | Mistral AI: N/A
Google Gemini: $0 (Free) or $20/mo (Advanced) | Mistral AI: N/A
Google Gemini: Advanced with reasoning | Mistral AI: N/A
Google Gemini: Advanced with Vision capabilities | Mistral AI: N/A
Google Gemini: General-purpose AI assistant | Mistral AI: N/A
Google Gemini: ~350 million | Mistral AI: N/A
Google Gemini: Unlimited (fair usage policy) | Mistral AI: N/A
Google Gemini: Advanced multi-turn reasoning | Mistral AI: N/A
Google Gemini: Advanced with 15+ languages | Mistral AI: N/A
Google Gemini: Basic image editing only | Mistral AI: N/A
Google Gemini: Extensive (Google ecosystem: Docs, Gmail, Search, Workspace) | Mistral AI: N/A
Google Gemini: 1.3 trillion (estimated) | Mistral AI: 123 billion
Google Gemini: 95.9% | Mistral AI: 92.0%
Google Gemini: $0.075 | Mistral AI: $2.70
Google Gemini: 1,000,000 tokens | Mistral AI: 128,000 (Mistral Large)
Google Gemini: Closed-source only | Mistral AI: Mistral 7B and Mixtral 8x7B freely available
Google Gemini: ~150 tokens/sec (optimized for accuracy) | Mistral AI: ~400 tokens/sec (Mistral 7B)
Google Gemini: Video, audio, image, text | Mistral AI: Text primary; limited image support
Google Gemini: Google Workspace, Gmail, Search, Android native | Mistral AI: Hugging Face, AWS, Azure, Together AI
Google Gemini: 1,000,000 tokens | Mistral AI: N/A
Google Gemini: 2-4 seconds | Mistral AI: N/A
Google Gemini: $20/month | Mistral AI: N/A
Google Gemini: 50 requests | Mistral AI: N/A
Google Gemini: Web, Android, iOS, Gmail, Drive, Docs | Mistral AI: N/A
Google Gemini: SOC 2, ISO 27001, GDPR, CCPA | Mistral AI: N/A
Google Gemini: Imagen 3 | Mistral AI: N/A
Google Gemini: 92% (Gemini 2.0 Flash) | Mistral AI: N/A
Google Gemini: Full Gemini 2.0 features included | Mistral AI: N/A
Google Gemini: Gemini 2.0 Flash / Gemini 2.0 | Mistral AI: N/A
Google Gemini: Imagen 3 (very good, restrictive) | Mistral AI: N/A
Google Gemini: Manual activation required | Mistral AI: N/A
Google Gemini: 6+ platforms (Web, iOS, Android, Chrome, Gmail, Drive) | Mistral AI: N/A
Google Gemini: Limited (Gmail, Drive, Docs only) | Mistral AI: N/A
Google Gemini: 100+ million | Mistral AI: N/A
Google Gemini: 1,000,000 | Mistral AI: N/A
Google Gemini: Web/Android app only | Mistral AI: N/A
Google Gemini: Native Gemini 2.0 image generation | Mistral AI: N/A
Google Gemini: Google Workspace basic (Docs, Sheets, Gmail) | Mistral AI: N/A
Google Gemini: Unlimited | Mistral AI: N/A
Google Gemini: 1,000,000 (Gemini 1.5 Pro) | Mistral AI: N/A
Google Gemini: Not supported | Mistral AI: N/A
Google Gemini: Included in free tier | Mistral AI: N/A
Google Gemini: 2,000,000 | Mistral AI: N/A
Google Gemini: Yes (Gemini 2.0) | Mistral AI: N/A
Google Gemini: Limited indexing | Mistral AI: N/A
Google Gemini: N/A | Mistral AI: Full (all models)
Minimum GPU VRAM for Full Model Inference
Google Gemini: N/A | Mistral AI: France (EU)
Google Gemini: N/A | Mistral AI: 62 tokens/sec
Google Gemini: N/A | Mistral AI: 40+ languages
Google Gemini: N/A | Mistral AI: 6 formats
Google Gemini: N/A | Mistral AI: 6 months
Google Gemini: N/A | Mistral AI: 4 families
How to choose between Google Gemini and Mistral AI
Google Gemini vs Mistral AI — Structured Comparison Data
Machine-readable comparison dataset for Google Gemini vs Mistral AI. Contains 90 attribute comparisons, 5 FAQ pairs.
Google Gemini vs Mistral AI — Attribute Category Vocabulary
Taxonomy of attribute categories used to classify comparison data for Google Gemini vs Mistral AI.
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.
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.
Which model performs better on reasoning tasks?
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.
Do these models support image and video processing?
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.
Which has a longer context window for processing large documents?
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.
How to Choose Between Google Gemini and Mistral AI
Consider: Model Size (Largest Base Variant)
Model Size (Largest Base Variant): Google Gemini has Ultra (estimated 1.3T+ parameters), while Mistral AI has Large (estimated 123B parameters).
Training Data Size: Google Gemini has 2+ trillion tokens, while Mistral AI has Undisclosed (estimated 5 trillion tokens).
Consider: Reasoning Benchmark (AIME 2024)
Reasoning Benchmark (AIME 2024): Google Gemini has 92%, while Mistral AI has 85%.
Context Window: Google Gemini has 1 million tokens (Ultra), while Mistral AI has 200,000 tokens (Large).
Consider: API Pricing per Million Tokens
API Pricing per Million Tokens: Google Gemini has $1.50 input / $6.00 output, while Mistral AI has $0.24 input / $0.72 output.
Multimodal Capabilities: Google Gemini has Image, video, audio, text, while Mistral AI has Text only (currently).
Consider: Open Weight Model Availability
Open Weight Model Availability: Google Gemini has None (API-only), while Mistral AI has Yes (7B, 8x7B, Large variants).