Model comparison
Claude Sonnet 4 vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 40.6 on the Noometry Index.
Last verified . 8 shared benchmarks.
Summary
- They share 8 benchmarks with published results for both. Claude Sonnet 4 scores higher in 2 categories and Kimi K2.7 Code in 3 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 38.2 to 23.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 71.1% for Claude Sonnet 4 and 95.6% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.
- Kimi K2.7 Code accepts more context: 262K tokens versus 200K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4 | Kimi K2.7 Code | |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Noometry Index | 40.6 | 43.0 |
| Released | 2025-05-22 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 200K | 262K |
| Max output | 64K | 262K |
| Input $ / M tokens | $3 | $0.95 |
| Output $ / M tokens | $15 | $4 |
| Results tracked | 58 | 19 |
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Category by category
Coding Claude Sonnet 4 leads
Claude Sonnet 4: 44.0 (#70), Kimi K2.7 Code: 42.4 (#92)
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| SciCode | 40% | 47.5% |
| WeirdML | 46.1% | 54.1% |
| ALE-Bench | 655.35 | 886.23 |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| SWE-bench Verified (bash only) | 64.9% | — |
| Aider Polyglot | 61.3% | — |
| LMArena WebDev | — | 1473 |
| GSO | 4.9% | — |
| LMArena Coding | 1414 | — |
Agentic & Tool Use Claude Sonnet 4 leads
Claude Sonnet 4: 38.3 (#29), Kimi K2.7 Code: 23.9 (#115)
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| TheAgentCompany | 33.1% | — |
| Cybench | 35% | — |
| DeepResearch Bench | 46.6% | — |
| OSWorld | 43.9% | — |
| GBAEval | — | 0.9% |
| METR Time Horizons | 62% | — |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Claude Sonnet 4: 23.0 (#169), Kimi K2.7 Code: 38.2 (#56)
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 45.5% | 57.9% |
| CritPt | 0.3% | 10% |
| Epoch Capabilities Index | 141.69 | 150.01 |
| ARC-AGI-2 | 5.9% | — |
| Kagi LLM Benchmark | 73% | — |
| ARC-AGI-1 | 40% | — |
| Chess Puzzles | — | 21% |
| EnigmaEval | 3.1% | — |
| LMArena Hard Prompts | 1372 | — |
| DTBench | 77.1% | — |
| LMCA | 29% | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 60.2 | — |
Math Kimi K2.7 Code leads
Claude Sonnet 4: 41.5 (#71), Kimi K2.7 Code: 52.6 (#39)
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 71.1% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| Omni-MATH | 60.2% | — |
| LMArena Math | 1375 | — |
| MATH Level 5 | 84.4% | — |
| FrontierMath (Feb 2025 set) | 4.1% | — |
| FrontierMath Tier 4 (v1) | 0% | — |
Knowledge Kimi K2.7 Code leads
Claude Sonnet 4: 41.6 (#99), Kimi K2.7 Code: 53.6 (#51)
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 79.2% | 87.9% |
| Humanity's Last Exam | 7.8% | — |
| SimpleQA Verified | — | 36.5% |
| MMLU-Pro | 84.3% | — |
| Confabulations | 13.2% | — |
| Vectara Hallucination Rate | 10.3% | — |
| GPQA (HELM) | 70.6% | — |
| LMArena Expert | 1371 | — |
Multimodal Not comparable
Claude Sonnet 4: 25.6 (#116), Kimi K2.7 Code: —
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1191 | — |
| GeoBench | 37% | — |
| VPCT | 34% | — |
| MindCube | 44.8% | — |
Multilingual Not comparable
Claude Sonnet 4: 46.9 (#151), Kimi K2.7 Code: —
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1333 | — |
| LMArena Chinese | 1351 | — |
| LMArena French | 1364 | — |
| LMArena German | 1331 | — |
| LMArena Japanese | 1301 | — |
| LMArena Korean | 1293 | — |
| LMArena Russian | 1355 | — |
| LMArena Spanish | 1356 | — |
Instruction Following Not comparable
Claude Sonnet 4: 71.8 (#141), Kimi K2.7 Code: —
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| IFEval | 84% | — |
| LMArena Instruction Following | 1375 | — |
Long Context Not comparable
Claude Sonnet 4: 33.6 (#254), Kimi K2.7 Code: —
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| Fiction.LiveBench | 46.9% | — |
| LMArena Longer Query | 1398 | — |
Writing & Preference Not comparable
Claude Sonnet 4: 57.3 (#127), Kimi K2.7 Code: —
| Benchmark | Claude Sonnet 4 | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1351 | — |
| LMArena Creative Writing | 1345 | — |
| Short-Story Creative Writing | 81.4% | — |
| EQ-Bench Creative Writing | 1483 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1376 | — |
Frequently asked questions
Is Claude Sonnet 4 better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 40.6 on the Noometry Index.
Which is cheaper, Claude Sonnet 4 or Kimi K2.7 Code?
Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Claude Sonnet 4 lists at $3 and $15.
Is Claude Sonnet 4 or Kimi K2.7 Code better for coding?
Claude Sonnet 4 scores higher on coding benchmarks: 44.0 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.7 Code does, with 262K tokens against 200K.
How many benchmarks do Claude Sonnet 4 and Kimi K2.7 Code share?
8 benchmarks have published results for both models. Claude Sonnet 4 has 58 scored results on Noometry and Kimi K2.7 Code has 19.