Doubao 1.5 Pro Reasoning vs Mistral Large 3: which model should you choose?
We compared Doubao 1.5 Pro Reasoning 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 Reasoning
Doubao 1.5 Pro Reasoning is a multimodal model from ByteDance. It offers a 128,000-token context window, costs $14.56 per million input tokens and $58.10 per million output tokens, and averages 81.6 across the index's benchmark suite.
- Input
- $14.56 / 1M
- Output
- $58.10 / 1M
- Context
- 128,000
- Avg score
- 81.6
- 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 Reasoning | Mistral Large 3 | Edge |
|---|---|---|---|
| Input price / 1M | $14.56 | $5.41 | B |
| Output price / 1M | $58.10 | $23.83 | B |
| Context window | 128,000 | 128,000 | Tie |
| Max output | 16,384 | 4,096 | A |
| Average score | 81.6 | 81.7 | B |
| Arena Elo | 1439.2 | 1448.6 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Doubao 1.5 Pro Reasoning wins 4, Mistral Large 3 wins 8, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Doubao 1.5 Pro Reasoning | Mistral Large 3 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 81.8 | 84.6 | 2.8 | Mistral Large 3 |
| GPQA Diamond | 78.1 | 79.6 | 1.5 | Mistral Large 3 |
| SWE-bench Verified | 69.7 | 71.3 | 1.6 | Mistral Large 3 |
| HumanEval | 87.4 | 88.6 | 1.2 | Mistral Large 3 |
| MATH-500 | 85.1 | 84.1 | 1.0 | Doubao 1.5 Pro Reasoning |
| AIME 2025 | 81.4 | 78.3 | 3.1 | Doubao 1.5 Pro Reasoning |
| LiveCodeBench | 73.9 | 74.4 | 0.5 | Mistral Large 3 |
| IFEval | 88.7 | 89.8 | 1.1 | Mistral Large 3 |
| TruthfulQA | 82.3 | 83.7 | 1.4 | Mistral Large 3 |
| HellaSwag | 90.7 | 88.2 | 2.5 | Doubao 1.5 Pro Reasoning |
| MMMU | 78.1 | 76.2 | 1.9 | Doubao 1.5 Pro Reasoning |
| Arena Elo | 1439.2 | 1448.6 | 9.4 | Mistral Large 3 |
Price analysis
On a blended 3:1 input-to-output basis, Doubao 1.5 Pro Reasoning costs about $25.45 per million tokens and Mistral Large 3 costs about $10.02. Mistral Large 3 is roughly 61% cheaper than Doubao 1.5 Pro Reasoning. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Both models list a 128,000-token context window. That is enough for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Doubao 1.5 Pro Reasoning wins 4, Mistral Large 3 wins 8, and 0 are tied. On the index average, Mistral Large 3 leads Doubao 1.5 Pro Reasoning by 0.1 points (81.7 versus 81.6).
The price picture favours Mistral Large 3. The context picture is effectively a tie. 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 Reasoning if
- You need the larger 16,384-token output limit.
- The workload needs multi-step reasoning.
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 Reasoning better than Mistral Large 3?
On the index average, Mistral Large 3 leads Doubao 1.5 Pro Reasoning by 0.1 points (81.7 versus 81.6). The better choice depends on price, context and your task. Doubao 1.5 Pro Reasoning wins 4 benchmarks, Mistral Large 3 wins 8.
Which is cheaper, Doubao 1.5 Pro Reasoning or Mistral Large 3?
Mistral Large 3 is cheaper on a blended 3:1 basis at about $10.02 per million tokens, versus $25.45 for Doubao 1.5 Pro Reasoning.
Which has the larger context window?
Both models list a 128,000-token context window.
Are these models open weights?
Doubao 1.5 Pro Reasoning 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.