Gemini 3.7 Flash (batch) vs Mistral Large 3 2512 (batch)
| Signal | Gemini 3.7 Flash (batch) | Delta | Mistral Large 3 2512 (batch) |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 99 | +1 | |
Context window size | 96 | +10 | |
Recency | 100 | +16 | |
Output Capacity | 77 | -8 | |
Benchmarks | 0 | -68 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
40
current score
Mistral Large 3 2512 (batch)
right now
67
current score
Gemini 3.7 Flash (batch)
Mistral Large 3 2512 (batch)
Mistral AI
Gemini 3.7 Flash (batch) saves you $59.38/month
That's $712.50/year compared to Mistral Large 3 2512 (batch) at your current usage level of 100K calls/month.
| Metric | Gemini 3.7 Flash (batch) | Mistral Large 3 2512 (batch) | Winner |
|---|---|---|---|
| Overall Score | 40 | 67 | Mistral Large 3 2512 (batch) |
| Rank | #215 | #151 | Mistral Large 3 2512 (batch) |
| Quality Rank | #215 | #151 | Mistral Large 3 2512 (batch) |
| Adoption Rank | #215 | #151 | Mistral Large 3 2512 (batch) |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 262K | Gemini 3.7 Flash (batch) |
| Pricing | $0.19/$0.94/M | $0.50/$1.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Gemini 3.7 Flash (batch) |
| Pricing | 99 | 99 | Gemini 3.7 Flash (batch) |
| Context window size | 96 | 86 | Gemini 3.7 Flash (batch) |
| Recency | 100 | 84 | Gemini 3.7 Flash (batch) |
| Output Capacity | 77 | 85 | Mistral Large 3 2512 (batch) |
| Benchmarks | -- | 68 | Mistral Large 3 2512 (batch) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #215), placing it in the top 26% of all 290 models tracked.
Scores 67/100 (rank #151), placing it in the top 48% of all 290 models tracked.
Mistral Large 3 2512 (batch) has a 27-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Gemini 3.7 Flash (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1049K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Choose Mistral Large 3 2512 (batch) when you need:
- Budget-friendly applications with moderate quality requirements
Gemini 3.7 Flash (batch) offers 44% better value per quality point. At 1M tokens/day, you'd spend $16.88/month with Gemini 3.7 Flash (batch) vs $30.00/month with Mistral Large 3 2512 (batch) - a $13.13 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Gemini 3.7 Flash (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.94/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (67/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Large 3 2512 (batch) clearly outperforms Gemini 3.7 Flash (batch) with a significant 27-point lead. For most general use cases, Mistral Large 3 2512 (batch) is the stronger choice. However, Gemini 3.7 Flash (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
Gemini 3.7 Flash (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 3.7 Flash (batch)
44% lower pricing; better value at scale
Best for Reliability
Gemini 3.7 Flash (batch)
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.7 Flash (batch)
Stronger community support and better developer experience
Best for Production
Gemini 3.7 Flash (batch)
Wider enterprise adoption and proven at scale
by Google
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 44% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Gemini 3.7 Flash (batch) | Mistral Large 3 2512 (batch) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Gemini 3.7 Flash (batch)
Mistral Large 3 2512 (batch)
Mistral AI
Gemini 3.7 Flash (batch) saves you $1.24/month
That's 46% cheaper than Mistral Large 3 2512 (batch) at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemini 3.7 Flash (batch) | Mistral Large 3 2512 (batch) |
|---|---|---|
| Context Window | 1.0M | 262K |
| Max Output Tokens | 65,536 | 209,715 |
| Open Source | No | No |
| Created | Aug 13, 2026 | Dec 1, 2025 |