Doubao 1.5 Pro Max vs Mistral Large 3: which model should you choose?
We compared Doubao 1.5 Pro Max and Mistral Large 3 on price, context window and 12 benchmarks. Mistral Large 3 has the stronger average benchmark score; Mistral Large 3 is cheaper on a blended 3:1 basis.
Doubao 1.5 Pro Max
Doubao 1.5 Pro Max is a multimodal model from ByteDance. It offers a 400,000-token context window, costs $14.93 per million input tokens and $73.69 per million output tokens, and averages 81.2 across the index's benchmark suite.
- Input
- $14.93 / 1M
- Output
- $73.69 / 1M
- Context
- 400,000
- Avg score
- 81.2
- 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 | Doubao 1.5 Pro Max | Mistral Large 3 | Edge |
|---|---|---|---|
| Input price / 1M | $14.93 | $5.41 | B |
| Output price / 1M | $73.69 | $23.83 | B |
| Context window | 400,000 | 128,000 | A |
| Max output | 4,096 | 4,096 | Tie |
| Average score | 81.2 | 81.7 | B |
| Arena Elo | 1447.5 | 1448.6 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Doubao 1.5 Pro Max wins 5, Mistral Large 3 wins 7, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Doubao 1.5 Pro Max | Mistral Large 3 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.1 | 84.6 | 3.5 | Mistral Large 3 |
| GPQA Diamond | 76.1 | 79.6 | 3.5 | Mistral Large 3 |
| SWE-bench Verified | 70.7 | 71.3 | 0.6 | Mistral Large 3 |
| HumanEval | 84.0 | 88.6 | 4.6 | Mistral Large 3 |
| MATH-500 | 85.3 | 84.1 | 1.2 | Doubao 1.5 Pro Max |
| AIME 2025 | 80.4 | 78.3 | 2.1 | Doubao 1.5 Pro Max |
| LiveCodeBench | 73.5 | 74.4 | 0.9 | Mistral Large 3 |
| IFEval | 90.2 | 89.8 | 0.4 | Doubao 1.5 Pro Max |
| TruthfulQA | 84.4 | 83.7 | 0.7 | Doubao 1.5 Pro Max |
| HellaSwag | 87.8 | 88.2 | 0.4 | Mistral Large 3 |
| MMMU | 79.3 | 76.2 | 3.1 | Doubao 1.5 Pro Max |
| Arena Elo | 1447.5 | 1448.6 | 1.1 | Mistral Large 3 |
Price analysis
On a blended 3:1 input-to-output basis, Doubao 1.5 Pro Max costs about $29.62 per million tokens and Mistral Large 3 costs about $10.02. Mistral Large 3 is roughly 66% cheaper than Doubao 1.5 Pro Max. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Doubao 1.5 Pro Max has the larger context window at 400,000 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, Doubao 1.5 Pro Max wins 5, Mistral Large 3 wins 7, and 0 are tied. On the index average, Mistral Large 3 leads Doubao 1.5 Pro Max by 0.5 points (81.7 versus 81.2).
The price picture favours Mistral Large 3. The context picture favours Doubao 1.5 Pro Max. 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 Mistral Large 3 for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Doubao 1.5 Pro Max if
- You need the larger 400,000-token context window.
Choose Mistral Large 3 if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Doubao 1.5 Pro Max better than Mistral Large 3?
On the index average, Mistral Large 3 leads Doubao 1.5 Pro Max by 0.5 points (81.7 versus 81.2). The better choice depends on price, context and your task. Doubao 1.5 Pro Max wins 5 benchmarks, Mistral Large 3 wins 7.
Which is cheaper, Doubao 1.5 Pro Max or Mistral Large 3?
Mistral Large 3 is cheaper on a blended 3:1 basis at about $10.02 per million tokens, versus $29.62 for Doubao 1.5 Pro Max.
Which has the larger context window?
Doubao 1.5 Pro Max has the larger context window at 400,000 tokens. Mistral Large 3 has 128,000 tokens.
Are these models open weights?
Doubao 1.5 Pro Max is proprietary; Mistral Large 3 is open weights.
Which should I choose for production?
If you need a single default, start with Mistral Large 3 for quality-sensitive work, and check whether its price holds at your expected volume before committing.