Model comparison
Claude Haiku 4.5 vs Kimi K2 Thinking Turbo
Kimi K2 Thinking Turbo is the stronger model overall, scoring 45.8 to 39.5 on the Noometry Index.
Last verified . 21 shared benchmarks.
Summary
- They share 21 benchmarks with published results for both. Claude Haiku 4.5 scores higher in 2 categories and Kimi K2 Thinking Turbo in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2 Thinking Turbo leads 32.5 to 15.1.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 66.7% for Claude Haiku 4.5 and 83.1% for Kimi K2 Thinking Turbo.
- Kimi K2 Thinking Turbo has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 4.5 | Kimi K2 Thinking Turbo | |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Noometry Index | 39.5 | 45.8 |
| Released | 2025-10-15 | 2025-11-06 |
| Weights | Proprietary | Open |
| Context window | 200K | — |
| Max output | 64K | — |
| Input $ / M tokens | $1 | — |
| Output $ / M tokens | $5 | — |
| Results tracked | 53 | 21 |
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Category by category
Coding Claude Haiku 4.5 leads
Claude Haiku 4.5: 44.0 (#78), Kimi K2 Thinking Turbo: 38.4 (#178)
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena WebDev | 1330 | 1322 |
| LMArena Coding | 1453 | 1454 |
| SWE-bench Verified (bash only) | 66.6% | — |
| SWE-bench Multilingual | 64.7% | — |
| SciCode | 43.3% | — |
| WeirdML | 45.4% | — |
| ALE-Bench | 653.48 | — |
Agentic & Tool Use Not comparable
Claude Haiku 4.5: 33.6 (#52), Kimi K2 Thinking Turbo: —
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| Terminal-Bench | 35.5% | — |
| Berkeley Function Calling Leaderboard | 68.7% | — |
| DeepResearch Bench | 45.5% | — |
| BALROG | 31.2% | — |
| ExploitBench | 13.7% | — |
| Vending-Bench 2 | 458.89 | — |
Reasoning Kimi K2 Thinking Turbo leads
Claude Haiku 4.5: 15.1 (#320), Kimi K2 Thinking Turbo: 32.5 (#75)
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| Chess Puzzles | 8% | 20% |
| LMArena Hard Prompts | 1420 | 1428 |
| ARC-AGI-2 | 4% | — |
| NYT Connections (extended) | 14.3% | — |
| ARC-AGI-1 | 47.7% | — |
| CritPt | 0% | — |
| DTBench | 73.6% | — |
| LMCA | 30.9% | — |
| Epoch Capabilities Index | 142.41 | — |
| ForecastBench | 61.4 | — |
Math Kimi K2 Thinking Turbo leads
Claude Haiku 4.5: 44.9 (#78), Kimi K2 Thinking Turbo: 47.4 (#68)
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.7% | 83.1% |
| LMArena Math | 1396 | 1429 |
| Omni-MATH | 56.1% | — |
| MATH Level 5 | 96.4% | — |
| FrontierMath (Feb 2025 set) | 5.9% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge Kimi K2 Thinking Turbo leads
Claude Haiku 4.5: 37.7 (#153), Kimi K2 Thinking Turbo: 50.9 (#69)
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| GPQA Diamond | 71.2% | 84.2% |
| LMArena Expert | 1442 | 1439 |
| SimpleQA Verified | 13.2% | — |
| MMLU-Pro | 77.7% | — |
| Vectara Hallucination Rate | 9.8% | — |
| GPQA (HELM) | 60.5% | — |
Multimodal Not comparable
Claude Haiku 4.5: 26.8 (#118), Kimi K2 Thinking Turbo: —
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1420 | — |
Multilingual Kimi K2 Thinking Turbo leads
Claude Haiku 4.5: 49.9 (#129), Kimi K2 Thinking Turbo: 51.4 (#109)
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Non-English | 1377 | 1398 |
| LMArena Chinese | 1417 | 1456 |
| LMArena French | 1408 | 1425 |
| LMArena German | 1375 | 1390 |
| LMArena Japanese | 1339 | 1357 |
| LMArena Korean | 1347 | 1330 |
| LMArena Russian | 1381 | 1391 |
| LMArena Spanish | 1420 | 1406 |
Instruction Following Kimi K2 Thinking Turbo leads
Claude Haiku 4.5: 71.4 (#149), Kimi K2 Thinking Turbo: 74.0 (#109)
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Instruction Following | 1414 | 1403 |
| IFEval | 80.1% | — |
Long Context Too close to call
Claude Haiku 4.5: 43.6 (#92), Kimi K2 Thinking Turbo: 43.2 (#102)
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Longer Query | 1427 | 1415 |
Writing & Preference Kimi K2 Thinking Turbo leads
Claude Haiku 4.5: 57.9 (#123), Kimi K2 Thinking Turbo: 60.0 (#104)
| Benchmark | Claude Haiku 4.5 | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Text | 1396 | 1415 |
| LMArena Creative Writing | 1372 | 1374 |
| LMArena Multi-Turn | 1409 | 1414 |
| WildBench | 83.9% | — |
| EQ-Bench 4 | 1064 | — |
Frequently asked questions
Is Claude Haiku 4.5 better than Kimi K2 Thinking Turbo?
Kimi K2 Thinking Turbo is the stronger model overall, scoring 45.8 to 39.5 on the Noometry Index.
Is Claude Haiku 4.5 or Kimi K2 Thinking Turbo better for coding?
Claude Haiku 4.5 scores higher on coding benchmarks: 44.0 versus 38.4 in the Noometry coding category.
How many benchmarks do Claude Haiku 4.5 and Kimi K2 Thinking Turbo share?
21 benchmarks have published results for both models. Claude Haiku 4.5 has 53 scored results on Noometry and Kimi K2 Thinking Turbo has 21.