Model comparison
Claude Haiku 5.5 vs Kimi K2 (Jul 2025)
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 41.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 42.7.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.57 / $2.30 for Kimi K2 (Jul 2025).
- Claude Haiku 5.5 accepts more context: 1M tokens versus 262K.
- Kimi K2 (Jul 2025) has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 5.5 | Kimi K2 (Jul 2025) | |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Noometry Index | 49.5 | 41.2 |
| Released | 2026-10-07 | 2025-07-12 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $0.10 | $0.57 |
| Output $ / M tokens | $0.50 | $2.30 |
| Results tracked | 9 | 42 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), Kimi K2 (Jul 2025): 42.4 (#102)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| LMArena WebDev | 1587 | — |
| GSO | — | 4.9% |
| WeirdML | — | 42.8% |
| LMArena Coding | — | 1399 |
| ALE-Bench | — | 597.5 |
Agentic & Tool Use Not comparable
Claude Haiku 5.5: —, Kimi K2 (Jul 2025): 32.4 (#64)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | — | 35.7% |
| Berkeley Function Calling Leaderboard | — | 59.1% |
| METR Time Horizons | — | 59.2% |
Reasoning Claude Haiku 5.5 leads
Claude Haiku 5.5: 35.2 (#69), Kimi K2 (Jul 2025): 23.3 (#179)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| SimpleBench | — | 26.3% |
| Kagi LLM Benchmark | — | 64.4% |
| NYT Connections (extended) | 65.7% | — |
| LMArena Hard Prompts | — | 1384 |
| Mystery Game Puzzles | 30% | — |
| Epoch Capabilities Index | — | 146.01 |
| ForecastBench | — | 60.2 |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), Kimi K2 (Jul 2025): 42.7 (#83)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| FrontierMath (Tiers 1-3) | 75.1% | — |
| FrontierMath Tier 4 | 46.3% | — |
| OTIS Mock AIME 2024-2025 | 98.9% | — |
| Omni-MATH | — | 65.4% |
| LMArena Math | — | 1397 |
| FrontierMath (Feb 2025 set) | — | 21.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Claude Haiku 5.5 leads
Claude Haiku 5.5: 50.8 (#70), Kimi K2 (Jul 2025): 37.3 (#157)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| GPQA Diamond | 89.6% | — |
| SimpleQA Verified | 23.8% | — |
| MMLU-Pro | — | 81.9% |
| Confabulations | — | 20.4% |
| Vectara Hallucination Rate | — | 17.9% |
| GPQA (HELM) | — | 65.3% |
| LMArena Expert | — | 1365 |
Multimodal Not comparable
Claude Haiku 5.5: 43.7 (#21), Kimi K2 (Jul 2025): —
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| Furniture Assembly | 47.5% | — |
Multilingual Not comparable
Claude Haiku 5.5: —, Kimi K2 (Jul 2025): 49.6 (#130)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | — | 1372 |
| LMArena Chinese | — | 1415 |
| LMArena French | — | 1379 |
| LMArena German | — | 1387 |
| LMArena Japanese | — | 1349 |
| LMArena Korean | — | 1325 |
| LMArena Russian | — | 1385 |
| LMArena Spanish | — | 1386 |
Instruction Following Not comparable
Claude Haiku 5.5: —, Kimi K2 (Jul 2025): 71.1 (#156)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| IFEval | — | 85% |
| LMArena Instruction Following | — | 1348 |
Long Context Not comparable
Claude Haiku 5.5: —, Kimi K2 (Jul 2025): 41.2 (#145)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |
| LMArena Longer Query | — | 1353 |
Writing & Preference Not comparable
Claude Haiku 5.5: —, Kimi K2 (Jul 2025): 62.3 (#78)
| Benchmark | Claude Haiku 5.5 | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | — | 1380 |
| LMArena Creative Writing | — | 1350 |
| Short-Story Creative Writing | — | 85.6% |
| EQ-Bench Creative Writing | — | 1666 |
| WildBench | — | 86.2% |
| LMArena Multi-Turn | — | 1371 |
Frequently asked questions
Is Claude Haiku 5.5 better than Kimi K2 (Jul 2025)?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 41.2 on the Noometry Index.
Which is cheaper, Claude Haiku 5.5 or Kimi K2 (Jul 2025)?
Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Kimi K2 (Jul 2025) lists at $0.57 and $2.30.
Is Claude Haiku 5.5 or Kimi K2 (Jul 2025) better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 42.4 in the Noometry coding category.
Which has the bigger context window?
Claude Haiku 5.5 does, with 1M tokens against 262K.
How many benchmarks do Claude Haiku 5.5 and Kimi K2 (Jul 2025) share?
0 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Kimi K2 (Jul 2025) has 42.