Model comparison
Claude Sonnet 5.5 vs Mistral Large
Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 31.6 on the Noometry Index.
Last verified . 5 shared benchmarks.
Mistral AISummary
- They share 5 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 5 categories and Mistral Large in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Sonnet 5.5 leads 88.7 to 17.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Sonnet 5.5 and 8.5% for Mistral Large.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
- Claude Sonnet 5.5 accepts more context: 1M tokens versus 131K.
- Mistral Large has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 5.5 | Mistral Large | |
|---|---|---|
| Provider | Anthropic | Mistral AI |
| Noometry Index | 60.5 | 31.6 |
| Released | 2026-09-28 | 2024-02-26 |
| Weights | Proprietary | Open |
| Context window | 1M | 131K |
| Max output | 128K | 16K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $10 | $6 |
| Results tracked | 16 | 51 |
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Category by category
Coding Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 65.5 (#6), Mistral Large: 33.8 (#240)
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| SciCode | 61% | 36.2% |
| ALE-Bench | 1,819 | 264.7 |
| FrontierCode | 52.1% | — |
| CursorBench | 55.5% | — |
| LMArena WebDev | 1699 | — |
| FrontierSWE | 61.9% | — |
| BigCodeBench Instruct | — | 30% |
| LiveBench Coding | — | 47.1% |
| LMArena Coding | — | 1277 |
| BigCodeBench Complete | — | 38.3% |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 44.9 (#14), Mistral Large: 28.4 (#83)
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| APEX-Agents | 75.5% | — |
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 52.4 (#29), Mistral Large: 15.4 (#305)
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| CritPt | 31.4% | 0% |
| SimpleBench | — | 22.5% |
| LiveBench Reasoning | — | 43.5% |
| LMArena Hard Prompts | — | 1257 |
| Mystery Game Puzzles | 65% | — |
| DTBench | — | 65.1% |
| LiveBench Data Analysis | — | 50.1% |
| LMCA | — | 16.7% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
| LiveBench | — | 48.4% |
Math Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 88.7 (#4), Mistral Large: 17.1 (#285)
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 8.5% |
| FrontierMath (Tiers 1-3) | 88.8% | — |
| FrontierMath Tier 4 | 80.5% | — |
| ProofBench | 100% | — |
| Omni-MATH | — | 28.1% |
| LiveBench Math | — | 42.5% |
| LMArena Math | — | 1262 |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Claude Sonnet 5.5 leads
Claude Sonnet 5.5: 66.0 (#11), Mistral Large: 30.0 (#224)
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| GPQA Diamond | 95.6% | 51.3% |
| SimpleQA Verified | 46.5% | — |
| 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 Sonnet 5.5: 53.2 (#5), Mistral Large: —
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| Furniture Assembly | 75% | — |
Multilingual Not comparable
Claude Sonnet 5.5: —, Mistral Large: 40.1 (#214)
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| LMArena Non-English | — | 1237 |
| LMArena Chinese | — | 1240 |
| LMArena French | — | 1324 |
| LMArena German | — | 1254 |
| LMArena Japanese | — | 1187 |
| LMArena Korean | — | 1202 |
| LMArena Russian | — | 1257 |
| LMArena Spanish | — | 1268 |
Instruction Following Not comparable
Claude Sonnet 5.5: —, Mistral Large: 68.1 (#186)
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | — | 67.9% |
| IFEval | — | 87.7% |
| LMArena Instruction Following | — | 1249 |
Long Context Not comparable
Claude Sonnet 5.5: —, Mistral Large: 38.3 (#194)
| Benchmark | Claude Sonnet 5.5 | Mistral Large |
|---|---|---|
| LMArena Longer Query | — | 1262 |
Writing & Preference Not comparable
Claude Sonnet 5.5: —, Mistral Large: 40.9 (#237)
| Benchmark | Claude Sonnet 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 Sonnet 5.5 better than Mistral Large?
Claude Sonnet 5.5 is the stronger model overall, scoring 60.5 to 31.6 on the Noometry Index.
Which is cheaper, Claude Sonnet 5.5 or Mistral Large?
Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.
Is Claude Sonnet 5.5 or Mistral Large better for coding?
Claude Sonnet 5.5 scores higher on coding benchmarks: 65.5 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
Claude Sonnet 5.5 does, with 1M tokens against 131K.
How many benchmarks do Claude Sonnet 5.5 and Mistral Large share?
5 benchmarks have published results for both models. Claude Sonnet 5.5 has 16 scored results on Noometry and Mistral Large has 51.