| Signal | Gemini 2.5 Pro | Delta | Mistral Large |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 80 | +12 | |
Pricing | 90 | -4 | |
Context window size | 96 | +14 | |
Recency | 73 | +73 | |
Output Capacity | 80 | +60 | |
| Overall Result | 5 wins | of 6 | 1 wins |
Score History
83.5
current score
Gemini 2.5 Pro
right now
65.9
current score
Mistral AI
Mistral Large saves you $125.00/month
That's $1500.00/year compared to Gemini 2.5 Pro at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro | Mistral Large | Winner |
|---|---|---|---|
| Overall Score | 84 | 66 | Gemini 2.5 Pro |
| Rank | #27 | #123 | Gemini 2.5 Pro |
| Quality Rank | #27 | #123 | Gemini 2.5 Pro |
| Adoption Rank | #27 | #123 | Gemini 2.5 Pro |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 128K | Gemini 2.5 Pro |
| Pricing | $1.25/$10.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | Gemini 2.5 Pro |
| Benchmarks | 80 | 68 | Gemini 2.5 Pro |
| Pricing | 90 | 94 | Mistral Large |
| Context window size | 96 | 81 | Gemini 2.5 Pro |
| Recency | 73 | 0 | Gemini 2.5 Pro |
| Output Capacity | 80 | 20 | Gemini 2.5 Pro |
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 84/100 (rank #27), placing it in the top 91% of all 290 models tracked.
Scores 66/100 (rank #123), placing it in the top 58% of all 290 models tracked.
Gemini 2.5 Pro has a 18-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Mistral Large offers 29% better value per quality point. At 1M tokens/day, you'd spend $120.00/month with Mistral Large vs $168.75/month with Gemini 2.5 Pro - a $48.75 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. Mistral Large 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 ($6.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (84/100) 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
Gemini 2.5 Pro clearly outperforms Mistral Large with a significant 17.599999999999994-point lead. For most general use cases, Gemini 2.5 Pro is the stronger choice. However, Mistral Large may still excel in niche scenarios.
Best for Quality
Gemini 2.5 Pro
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large
29% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Pro | Mistral Large |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Mistral AI
Mistral Large saves you $3.45/month
That's 24% cheaper than Gemini 2.5 Pro 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 2.5 Pro | Mistral Large |
|---|---|---|
| Context Window | 1.0M | 128K |
| Max Output Tokens | 65,536 | -- |
| Open Source | No | No |
| Created | Jun 17, 2025 | Feb 26, 2024 |