Model comparison
Claude Haiku 5.5 vs Mistral Small 3.2
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 1.5× less per token, which makes it the better buy when Claude Haiku 5.5's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 3 categories and Mistral Small 3.2 in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 26.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Haiku 5.5 and 30.3% for Mistral Small 3.2.
- Mistral Small 3.2 is cheaper at $0.0938 / $0.25 per million input/output tokens, against $0.10 / $0.50 for Claude Haiku 5.5.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 256K.
- Mistral Small 3.2 has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 5.5 | Mistral Small 3.2 | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 49.5 | 31.2 |
| Released | 2026-10-07 | 2025-06-20 |
| Weights | Proprietary | Open |
| Context window | 1M | 256K |
| Max output | 128K | 16K |
| Input $ / M tokens | $0.10 | $0.0938 |
| Output $ / M tokens | $0.50 | $0.25 |
| Results tracked | 9 | 6 |
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Category by category
Coding Not comparable
Claude Haiku 5.5: 49.2 (#50), Mistral Small 3.2: —
| Benchmark | Claude Haiku 5.5 | Mistral Small 3.2 |
|---|---|---|
| LMArena WebDev | 1587 | — |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), Mistral Small 3.2: 18.1 (#287)
| Benchmark | Claude Haiku 5.5 | Mistral Small 3.2 |
|---|---|---|
| Kagi LLM Benchmark | — | 40.4% |
| NYT Connections (extended) | 65.7% | — |
| Chess Puzzles | — | 1% |
| Mystery Game Puzzles | 30% | — |
| Epoch Capabilities Index | — | 131.74 |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), Mistral Small 3.2: 26.3 (#260)
| Benchmark | Claude Haiku 5.5 | Mistral Small 3.2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 30.3% |
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), Mistral Small 3.2: 26.7 (#256)
| Benchmark | Claude Haiku 5.5 | Mistral Small 3.2 |
|---|---|---|
| GPQA Diamond | 89.6% | 49.1% |
| SimpleQA Verified | 23.8% | — |
Multimodal Not comparable
Claude Haiku 5.5: 43.7 (#21), Mistral Small 3.2: —
| Benchmark | Claude Haiku 5.5 | Mistral Small 3.2 |
|---|---|---|
| Furniture Assembly | 47.5% | — |
Writing & Preference Not comparable
Claude Haiku 5.5: —, Mistral Small 3.2: 45.0 (#224)
| Benchmark | Claude Haiku 5.5 | Mistral Small 3.2 |
|---|---|---|
| EQ-Bench Creative Writing | — | 1255 |
Frequently asked questions
Is Claude Haiku 5.5 better than Mistral Small 3.2?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 31.2 on the Noometry Index. Mistral Small 3.2 costs 1.5× less per token, which makes it the better buy when Claude Haiku 5.5's lead doesn't matter for your workload.
Which is cheaper, Claude Haiku 5.5 or Mistral Small 3.2?
Mistral Small 3.2 is cheaper. It lists at $0.0938 per million input tokens and $0.25 per million output tokens; Claude Haiku 5.5 lists at $0.10 and $0.50.
Which has the bigger context window?
Claude Haiku 5.5 does, with 1M tokens against 256K.
How many benchmarks do Claude Haiku 5.5 and Mistral Small 3.2 share?
2 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Mistral Small 3.2 has 6.