Gemini 2.5 Pro Vision vs Mistral Large 3: which model should you choose?
We compared Gemini 2.5 Pro Vision and Mistral Large 3 on price, context window and 12 benchmarks. Gemini 2.5 Pro Vision has the stronger average benchmark score; Mistral Large 3 is cheaper on a blended 3:1 basis.
Gemini 2.5 Pro Vision
Gemini 2.5 Pro Vision is a multimodal model from Google DeepMind. It offers a 200,000-token context window, costs $14.91 per million input tokens and $71.00 per million output tokens, and averages 82.0 across the index's benchmark suite.
- Input
- $14.91 / 1M
- Output
- $71.00 / 1M
- Context
- 200,000
- Avg score
- 82.0
- Open weights
- No
Mistral Large 3
Mistral Large 3 is a multimodal model from Mistral AI. It offers a 128,000-token context window, costs $5.41 per million input tokens and $23.83 per million output tokens, and averages 81.7 across the index's benchmark suite.
- Input
- $5.41 / 1M
- Output
- $23.83 / 1M
- Context
- 128,000
- Avg score
- 81.7
- Open weights
- Yes
Specification comparison
| Spec | Gemini 2.5 Pro Vision | Mistral Large 3 | Edge |
|---|---|---|---|
| Input price / 1M | $14.91 | $5.41 | B |
| Output price / 1M | $71.00 | $23.83 | B |
| Context window | 200,000 | 128,000 | A |
| Max output | 4,096 | 4,096 | Tie |
| Average score | 82.0 | 81.7 | A |
| Arena Elo | 1451.3 | 1448.6 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Gemini 2.5 Pro Vision wins 8, Mistral Large 3 wins 4, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Gemini 2.5 Pro Vision | Mistral Large 3 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 83.9 | 84.6 | 0.7 | Mistral Large 3 |
| GPQA Diamond | 78.0 | 79.6 | 1.6 | Mistral Large 3 |
| SWE-bench Verified | 72.4 | 71.3 | 1.1 | Gemini 2.5 Pro Vision |
| HumanEval | 85.8 | 88.6 | 2.8 | Mistral Large 3 |
| MATH-500 | 82.9 | 84.1 | 1.2 | Mistral Large 3 |
| AIME 2025 | 80.0 | 78.3 | 1.7 | Gemini 2.5 Pro Vision |
| LiveCodeBench | 76.0 | 74.4 | 1.6 | Gemini 2.5 Pro Vision |
| IFEval | 90.2 | 89.8 | 0.4 | Gemini 2.5 Pro Vision |
| TruthfulQA | 84.1 | 83.7 | 0.4 | Gemini 2.5 Pro Vision |
| HellaSwag | 90.8 | 88.2 | 2.6 | Gemini 2.5 Pro Vision |
| MMMU | 78.2 | 76.2 | 2.0 | Gemini 2.5 Pro Vision |
| Arena Elo | 1451.3 | 1448.6 | 2.7 | Gemini 2.5 Pro Vision |
Price analysis
On a blended 3:1 input-to-output basis, Gemini 2.5 Pro Vision costs about $28.93 per million tokens and Mistral Large 3 costs about $10.02. Mistral Large 3 is roughly 65% cheaper than Gemini 2.5 Pro Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Gemini 2.5 Pro Vision has the larger context window at 200,000 tokens, compared with 128,000 for Mistral Large 3. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Gemini 2.5 Pro Vision wins 8, Mistral Large 3 wins 4, and 0 are tied. On the index average, Gemini 2.5 Pro Vision leads Mistral Large 3 by 0.3 points (82.0 versus 81.7).
The price picture favours Mistral Large 3. The context picture favours Gemini 2.5 Pro Vision. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Gemini 2.5 Pro Vision for quality-sensitive work and Mistral Large 3 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Gemini 2.5 Pro Vision if
- You want the higher average benchmark score in this index.
- You need the larger 200,000-token context window.
Choose Mistral Large 3 if
- Unit cost matters and you want the cheaper blended price.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Gemini 2.5 Pro Vision better than Mistral Large 3?
On the index average, Gemini 2.5 Pro Vision leads Mistral Large 3 by 0.3 points (82.0 versus 81.7). The better choice depends on price, context and your task. Gemini 2.5 Pro Vision wins 8 benchmarks, Mistral Large 3 wins 4.
Which is cheaper, Gemini 2.5 Pro Vision or Mistral Large 3?
Mistral Large 3 is cheaper on a blended 3:1 basis at about $10.02 per million tokens, versus $28.93 for Gemini 2.5 Pro Vision.
Which has the larger context window?
Gemini 2.5 Pro Vision has the larger context window at 200,000 tokens. Mistral Large 3 has 128,000 tokens.
Are these models open weights?
Gemini 2.5 Pro Vision is proprietary; Mistral Large 3 is open weights.
Which should I choose for production?
If you need a single default, start with Gemini 2.5 Pro Vision for quality-sensitive work and Mistral Large 3 for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.