Claude Haiku 4.5 Turbo vs Mistral Large 3: which model should you choose?
We compared Claude Haiku 4.5 Turbo 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.
Claude Haiku 4.5 Turbo
Claude Haiku 4.5 Turbo is a multimodal model from Anthropic. It offers a 200,000-token context window, costs $14.37 per million input tokens and $54.76 per million output tokens, and averages 80.0 across the index's benchmark suite.
- Input
- $14.37 / 1M
- Output
- $54.76 / 1M
- Context
- 200,000
- Avg score
- 80.0
- 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 | Claude Haiku 4.5 Turbo | Mistral Large 3 | Edge |
|---|---|---|---|
| Input price / 1M | $14.37 | $5.41 | B |
| Output price / 1M | $54.76 | $23.83 | B |
| Context window | 200,000 | 128,000 | A |
| Max output | 32,768 | 4,096 | A |
| Average score | 80.0 | 81.7 | B |
| Arena Elo | 1434.5 | 1448.6 | B |
| Open weights | No | Yes | B |
Benchmark comparison
Claude Haiku 4.5 Turbo wins 2, Mistral Large 3 wins 10, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Haiku 4.5 Turbo | Mistral Large 3 | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 80.6 | 84.6 | 4.0 | Mistral Large 3 |
| GPQA Diamond | 75.1 | 79.6 | 4.5 | Mistral Large 3 |
| SWE-bench Verified | 68.4 | 71.3 | 2.9 | Mistral Large 3 |
| HumanEval | 87.0 | 88.6 | 1.6 | Mistral Large 3 |
| MATH-500 | 83.7 | 84.1 | 0.4 | Mistral Large 3 |
| AIME 2025 | 79.2 | 78.3 | 0.9 | Claude Haiku 4.5 Turbo |
| LiveCodeBench | 71.7 | 74.4 | 2.7 | Mistral Large 3 |
| IFEval | 87.1 | 89.8 | 2.7 | Mistral Large 3 |
| TruthfulQA | 81.0 | 83.7 | 2.7 | Mistral Large 3 |
| HellaSwag | 88.1 | 88.2 | 0.1 | Mistral Large 3 |
| MMMU | 77.7 | 76.2 | 1.5 | Claude Haiku 4.5 Turbo |
| Arena Elo | 1434.5 | 1448.6 | 14.1 | Mistral Large 3 |
Price analysis
On a blended 3:1 input-to-output basis, Claude Haiku 4.5 Turbo costs about $24.47 per million tokens and Mistral Large 3 costs about $10.02. Mistral Large 3 is roughly 59% cheaper than Claude Haiku 4.5 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Claude Haiku 4.5 Turbo 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, Claude Haiku 4.5 Turbo wins 2, Mistral Large 3 wins 10, and 0 are tied. On the index average, Mistral Large 3 leads Claude Haiku 4.5 Turbo by 1.7 points (81.7 versus 80.0).
The price picture favours Mistral Large 3. The context picture favours Claude Haiku 4.5 Turbo. 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 Claude Haiku 4.5 Turbo if
- You need the larger 200,000-token context window.
- You need the larger 32,768-token output limit.
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 Claude Haiku 4.5 Turbo better than Mistral Large 3?
On the index average, Mistral Large 3 leads Claude Haiku 4.5 Turbo by 1.7 points (81.7 versus 80.0). The better choice depends on price, context and your task. Claude Haiku 4.5 Turbo wins 2 benchmarks, Mistral Large 3 wins 10.
Which is cheaper, Claude Haiku 4.5 Turbo or Mistral Large 3?
Mistral Large 3 is cheaper on a blended 3:1 basis at about $10.02 per million tokens, versus $24.47 for Claude Haiku 4.5 Turbo.
Which has the larger context window?
Claude Haiku 4.5 Turbo has the larger context window at 200,000 tokens. Mistral Large 3 has 128,000 tokens.
Are these models open weights?
Claude Haiku 4.5 Turbo 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.