Claude Haiku 4.5 vs Mistral Large
Pricing, benchmarks, and use case comparison
Quick take
- •Claude Haiku 4.5 is meaningfully stronger at cost efficiency (97 vs 66 on our capability index).
- •Mistral Large is meaningfully stronger at reasoning (85 vs 72).
- •Claude Haiku 4.5 is 50% cheaper on input tokens, which compounds fast on high-volume or agentic workloads.
Specs comparison
| Claude Haiku 4.5 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Type | Closed source | Closed source |
| Context window | ✓200K | 128000 |
| Input / 1M tokens | ✓$1.00 | 2.00 |
| Output / 1M tokens | $5.00 | 6.00 |
| Release date | 2025-10 | 2024-02 |
Benchmarks
| Benchmark | Claude Haiku 4.5 | Mistral Large |
|---|---|---|
| SWE-bench Verified | 73.3% | - |
| GPQA | 64.6% | - |
| MMLU Pro | 80.0% | - |
| MMLU | - | 84.0% |
| HumanEval | - | 92.0% |
Scores sourced from official provider release posts and independent benchmark aggregators.
Which should you choose?
Choose Claude Haiku 4.5 if...
- →You need high throughput and low latency at minimal cost
- →You are fanning out many parallel sub-agents or worker calls
- →You want solid coding/computer-use quality without Opus/Sonnet pricing
- →Your task fits comfortably within a 200K context window
Choose Mistral Large if...
- →You need a strong European-built flagship with open weights
- →Your work is multilingual or requires nuanced reasoning
- →You want structured/JSON output and solid coding ability
- →You need the option to self-host for data sovereignty