Model comparison
Claude 3.7 Sonnet vs Kimi K2.6
Kimi K2.6 is the stronger model overall, scoring 47.7 to 39.5 on the Noometry Index.
Last verified . 24 shared benchmarks.
Summary
- They share 24 benchmarks with published results for both. Claude 3.7 Sonnet scores higher in 3 categories and Kimi K2.6 in 7 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.6 leads 40.5 to 18.6.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 57.8% for Claude 3.7 Sonnet and 96.1% for Kimi K2.6.
- Kimi K2.6 has downloadable open weights; the other is API-only.
Side by side
| Claude 3.7 Sonnet | Kimi K2.6 | |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Noometry Index | 39.5 | 47.7 |
| Released | 2025-02-24 | 2026-04-20 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 58 | 51 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Kimi K2.6 leads
Claude 3.7 Sonnet: 40.6 (#136), Kimi K2.6: 50.7 (#43)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| SWE-bench Verified | 61% | 76.7% |
| LMArena Coding | 1361 | 1488 |
| SWE-bench Verified (bash only) | 52.8% | — |
| Aider Polyglot | 64.9% | — |
| LMArena WebDev | — | 1509 |
| SciCode | — | 53.5% |
| GSO | 3.8% | — |
| WeirdML | — | 55.9% |
| LiveBench Coding | 74.5% | — |
| CadEval | 54% | — |
| ALE-Bench | — | 1,093 |
Agentic & Tool Use Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 34.1 (#50), Kimi K2.6: 21.9 (#137)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| OSWorld 2.0 | — | 4.6% |
| TheAgentCompany | 30.9% | — |
| Cybench | 20% | — |
| DeepResearch Bench | 43.6% | — |
| OSWorld | 35.8% | — |
| ExploitBench | — | 18.4% |
| GBAEval | — | 0.9% |
| GDP.pdf | — | 12% |
| METR Time Horizons | 60% | — |
| Vending-Bench 2 | — | 6,205 |
Reasoning Kimi K2.6 leads
Claude 3.7 Sonnet: 18.6 (#277), Kimi K2.6: 40.5 (#55)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| LMArena Hard Prompts | 1333 | 1470 |
| Epoch Capabilities Index | 141.16 | 151.05 |
| ARC-AGI-2 | 0.9% | — |
| SimpleBench | 46.4% | — |
| NYT Connections (extended) | — | 87.2% |
| ARC-AGI-1 | 28.6% | — |
| CritPt | — | 8% |
| Chess Puzzles | — | 26% |
| EnigmaEval | 4.2% | — |
| EBR-Bench | — | 2.4% |
| LiveBench Reasoning | 87.8% | — |
| Mystery Game Puzzles | — | 18% |
| DTBench | — | 90.9% |
| LiveBench Data Analysis | 74% | — |
| LMCA | — | 37.3% |
| ForecastBench | 61.8 | — |
| LiveBench | 76.1% | — |
Math Kimi K2.6 leads
Claude 3.7 Sonnet: 37.5 (#153), Kimi K2.6: 57.0 (#41)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 96.1% |
| LMArena Math | 1337 | 1475 |
| FrontierMath (Feb 2025 set) | 4.1% | 39% |
| FrontierMath (Tiers 1-3) | — | 57.2% |
| FrontierMath Tier 4 | — | 25.6% |
| MathArena Final-Answer Competitions | — | 72.9% |
| ProofBench | — | 16% |
| Omni-MATH | 33% | — |
| LiveBench Math | 79% | — |
| MATH Level 5 | 91.2% | — |
| FrontierMath Tier 4 (v1) | — | 14.6% |
Knowledge Kimi K2.6 leads
Claude 3.7 Sonnet: 39.8 (#130), Kimi K2.6: 54.0 (#54)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| GPQA Diamond | 79.7% | 90.8% |
| LMArena Expert | 1321 | 1491 |
| Humanity's Last Exam | 8% | — |
| SimpleQA Verified | — | 34.9% |
| MMLU-Pro | 78.4% | — |
| Confabulations | 14.7% | — |
| Vectara Hallucination Rate | — | 10.8% |
| GPQA (HELM) | 60.8% | — |
Multimodal Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 33.7 (#95), Kimi K2.6: 31.6 (#103)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| LMArena Vision | 1169 | 1283 |
| GeoBench | 68% | — |
| VPCT | 39% | — |
| Blueprint-Bench 2 | — | 3.9% |
| Furniture Assembly | — | 21.7% |
| LMArena Document | — | 1451 |
| SpatialViz-Bench | 33.9% | — |
Multilingual Kimi K2.6 leads
Claude 3.7 Sonnet: 44.1 (#179), Kimi K2.6: 54.9 (#37)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| LMArena Non-English | 1296 | 1446 |
| LMArena Chinese | 1299 | 1521 |
| LMArena French | 1303 | 1471 |
| LMArena German | 1301 | 1450 |
| LMArena Japanese | 1267 | 1443 |
| LMArena Korean | 1249 | 1427 |
| LMArena Russian | 1311 | 1446 |
| LMArena Spanish | 1298 | 1464 |
Instruction Following Kimi K2.6 leads
Claude 3.7 Sonnet: 72.9 (#125), Kimi K2.6: 76.3 (#43)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1451 |
| LiveBench Instruction Following | 81.3% | — |
| IFEval | 83.4% | — |
Long Context Claude 3.7 Sonnet leads
Claude 3.7 Sonnet: 50.3 (#10), Kimi K2.6: 44.9 (#52)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| LMArena Longer Query | 1373 | 1468 |
| Fiction.LiveBench | 83.3% | — |
Writing & Preference Kimi K2.6 leads
Claude 3.7 Sonnet: 54.4 (#150), Kimi K2.6: 68.5 (#26)
| Benchmark | Claude 3.7 Sonnet | Kimi K2.6 |
|---|---|---|
| LMArena Text | 1314 | 1455 |
| LMArena Creative Writing | 1332 | 1434 |
| EQ-Bench Creative Writing | 1412 | 1725 |
| LMArena Multi-Turn | 1339 | 1453 |
| Short-Story Creative Writing | 81.1% | — |
| WildBench | 81.4% | — |
| EQ-Bench 4 | — | 1202 |
| LiveBench Language | 59.9% | — |
Frequently asked questions
Is Claude 3.7 Sonnet better than Kimi K2.6?
Kimi K2.6 is the stronger model overall, scoring 47.7 to 39.5 on the Noometry Index.
Is Claude 3.7 Sonnet or Kimi K2.6 better for coding?
Kimi K2.6 scores higher on coding benchmarks: 50.7 versus 40.6 in the Noometry coding category.
How many benchmarks do Claude 3.7 Sonnet and Kimi K2.6 share?
24 benchmarks have published results for both models. Claude 3.7 Sonnet has 58 scored results on Noometry and Kimi K2.6 has 51.