| Signal | Gemini 2.5 Pro Preview 06-05 | Delta | Mistral Medium 3.1 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Pricing | 10 | +8 | |
Context window size | 96 | +14 | |
Recency | 80 | -13 | |
Output Capacity | 80 | +60 | |
| Overall Result | 4 wins | of 5 | 1 wins |
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Mistral AI
Mistral Medium 3.1 saves you $485.00/month
That's $5820.00/year compared to Gemini 2.5 Pro Preview 06-05 at your current usage level of 100K calls/month.
| Metric | Gemini 2.5 Pro Preview 06-05 | Mistral Medium 3.1 | Winner |
|---|---|---|---|
| Overall Score | 84 | 70 | Gemini 2.5 Pro Preview 06-05 |
| Rank | #47 | #151 | Gemini 2.5 Pro Preview 06-05 |
| Quality Rank | #47 | #151 | Gemini 2.5 Pro Preview 06-05 |
| Adoption Rank | #47 | #151 | Gemini 2.5 Pro Preview 06-05 |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 131K | Gemini 2.5 Pro Preview 06-05 |
| Pricing | $1.25/$10.00/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Gemini 2.5 Pro Preview 06-05 |
| Pricing | 10 | 2 | Gemini 2.5 Pro Preview 06-05 |
| Context window size | 96 | 81 | Gemini 2.5 Pro Preview 06-05 |
| Recency | 80 | 93 | Mistral Medium 3.1 |
| Output Capacity | 80 | 20 | Gemini 2.5 Pro Preview 06-05 |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 84/100 (rank #47), placing it in the top 84% of all 290 models tracked.
Scores 70/100 (rank #151), placing it in the top 48% of all 290 models tracked.
Gemini 2.5 Pro Preview 06-05 has a 14-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Mistral Medium 3.1 offers 79% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Mistral Medium 3.1 vs $168.75/month with Gemini 2.5 Pro Preview 06-05 - a $132.75 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Mistral Medium 3.1 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 ($2.00/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 Preview 06-05 clearly outperforms Mistral Medium 3.1 with a significant 14-point lead. For most general use cases, Gemini 2.5 Pro Preview 06-05 is the stronger choice. However, Mistral Medium 3.1 may still excel in niche scenarios.
Best for Quality
Gemini 2.5 Pro Preview 06-05
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Medium 3.1
79% lower pricing; better value at scale
Best for Reliability
Gemini 2.5 Pro Preview 06-05
Higher uptime and faster response speeds
Best for Prototyping
Gemini 2.5 Pro Preview 06-05
Stronger community support and better developer experience
Best for Production
Gemini 2.5 Pro Preview 06-05
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemini 2.5 Pro Preview 06-05 | Mistral Medium 3.1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
Mistral Medium 3.1 saves you $11.13/month
That's 78% cheaper than Gemini 2.5 Pro Preview 06-05 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 Preview 06-05 | Mistral Medium 3.1 |
|---|---|---|
| Context Window | 1.0M | 131K |
| Max Output Tokens | 65,536 | -- |
| Open Source | No | No |
| Created | Jun 5, 2025 | Aug 13, 2025 |
Gemini 2.5 Pro Preview 06-05 scores 84/100 (rank #47) compared to Mistral Medium 3.1's 70/100 (rank #151), giving it a 14-point advantage. Gemini 2.5 Pro Preview 06-05 is the stronger overall choice, though Mistral Medium 3.1 may excel in specific areas like cost efficiency.
Gemini 2.5 Pro Preview 06-05 is ranked #47 and Mistral Medium 3.1 is ranked #151 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
Mistral Medium 3.1 is cheaper at $2.00/M output tokens vs Gemini 2.5 Pro Preview 06-05's $10.00/M output tokens - 5.0x more expensive. Input token pricing: Gemini 2.5 Pro Preview 06-05 at $1.25/M vs Mistral Medium 3.1 at $0.40/M.
Gemini 2.5 Pro Preview 06-05 has a larger context window of 1,048,576 tokens compared to Mistral Medium 3.1's 131,072 tokens. A larger context window means the model can process longer documents and conversations.