Model comparison
Claude Haiku 5.5 vs Mistral Large
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 31.9 on the Noometry Index.
Last verified . 2 shared benchmarks.
Mistral AISummary
- They share 2 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 4 categories and Mistral Large in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 18.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.9% for Claude Haiku 5.5 and 8.5% for Mistral Large.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $2 / $6 for Mistral Large.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 5.5 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 49.5 | 31.9 |
| Released | 2026-10-07 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $0.10 | $2 |
| Output $ / M tokens | $0.50 | $6 |
| Results tracked | 9 | 51 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), Mistral Large: 34.3 (#240)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| LMArena WebDev | 1587 | — |
| SciCode | — | 36.2% |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Claude Haiku 5.5: —, Mistral Large: 28.6 (#89)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), Mistral Large: 15.8 (#310)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| SimpleBench | — | 22.5% |
| NYT Connections (extended) | 65.7% | — |
| CritPt | — | 0% |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| Mystery Game Puzzles | 30% | — |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), Mistral Large: 18.2 (#291)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 98.9% | 8.5% |
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), Mistral Large: 30.1 (#230)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| GPQA Diamond | 89.6% | 51.3% |
| SimpleQA Verified | 23.8% | — |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
| LMArena Expert | — | 1232 |
| MMLU | — | 80% |
Multimodal Not comparable
Claude Haiku 5.5: 43.7 (#21), Mistral Large: —
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| Furniture Assembly | 47.5% | — |
Multilingual Not comparable
Claude Haiku 5.5: —, Mistral Large: 40.0 (#219)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1325 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1188 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Not comparable
Claude Haiku 5.5: —, Mistral Large: 67.9 (#191)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |
Long Context Not comparable
Claude Haiku 5.5: —, Mistral Large: 38.3 (#199)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1261 |
Writing & Preference Not comparable
Claude Haiku 5.5: —, Mistral Large: 40.7 (#242)
| Benchmark | Claude Haiku 5.5 | Mistral Large |
|---|---|---|
| LMArena Text | — | 1266 |
| LMArena Creative Writing | — | 1243 |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
| LMArena Multi-Turn | — | 1260 |
| LiveBench Language | — | 39.4% |
Frequently asked questions
Is Claude Haiku 5.5 better than Mistral Large?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 31.9 on the Noometry Index.
Which is cheaper, Claude Haiku 5.5 or Mistral Large?
Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Mistral Large lists at $2 and $6.
Is Claude Haiku 5.5 or Mistral Large better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Claude Haiku 5.5 does, with 1M tokens against 131K.
How many benchmarks do Claude Haiku 5.5 and Mistral Large share?
2 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Mistral Large has 51.