# Claude 3.5 Haiku vs Kimi K2.5

> Kimi K2.5 is the stronger model overall, scoring 48.1 to 29.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/claude-3-5-haiku-vs-kimi-k2-5
- Last updated: 2026-10-12
- Shared benchmarks: 26

## Summary

- They share 26 benchmarks with published results for both. Claude 3.5 Haiku scores higher in 0 categories and Kimi K2.5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.5 leads 51.8 to 14.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 4.3% for Claude 3.5 Haiku and 92.2% for Kimi K2.5.
- Kimi K2.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Noometry Index | 29.2 | 48.1 |
| Rank | 315 | 57 |
| Context | — | 262K |
| Input $/M | — | $0.45 |
| Output $/M | — | $2.25 |
| Weights | Proprietary | Open |

## Coding

- Claude 3.5 Haiku: 32.9 (#265)
- Kimi K2.5: 48.8 (#53)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| SciCode | 27.4% | 49% |
| WeirdML | 30.7% | 45.6% |
| LMArena Coding | 1286 | 1474 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 70.8% |
| Aider Polyglot | 28% | — |
| LMArena WebDev | — | 1437 |
| SWE-bench Multilingual | — | 67.3% |
| BigCodeBench Instruct | 46.1% | — |
| LiveBench Coding | 51.4% | — |
| BigCodeBench Complete | 59% | — |
| CadEval | 32% | — |
| ALE-Bench | — | 821.65 |

## Agentic & Tool Use

- Claude 3.5 Haiku: 28.0 (#95)
- Kimi K2.5: 34.2 (#48)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| Terminal-Bench | — | 43.2% |
| OSWorld | — | 63.3% |
| BALROG | 19.3% | — |
| Vending-Bench 2 | — | 1,198 |

## Reasoning

- Claude 3.5 Haiku: 17.7 (#290)
- Kimi K2.5: 31.2 (#80)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| CritPt | 0% | 3.1% |
| LMArena Hard Prompts | 1251 | 1453 |
| Epoch Capabilities Index | 127.15 | 148.03 |
| ARC-AGI-2 | — | 11.8% |
| SimpleBench | — | 46.8% |
| Kagi LLM Benchmark | — | 78.5% |
| NYT Connections (extended) | — | 69.9% |
| ARC-AGI-1 | — | 65.3% |
| Chess Puzzles | — | 12% |
| EnigmaEval | — | 3.4% |
| Thematic Generalization | — | 69.4% |
| LiveBench Reasoning | 28.1% | — |
| DTBench | 56.7% | — |
| LiveBench Data Analysis | 48.5% | — |
| LiveBench | 43.5% | — |

## Math

- Claude 3.5 Haiku: 14.7 (#300)
- Kimi K2.5: 51.8 (#53)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.3% | 92.2% |
| LMArena Math | 1244 | 1470 |
| FrontierMath (Feb 2025 set) | 0.3% | 27.9% |
| MathArena Final-Answer Competitions | — | 62.3% |
| Omni-MATH | 22.4% | — |
| LiveBench Math | 35.5% | — |
| MATH Level 5 | 46.4% | — |
| FrontierMath Tier 4 (v1) | — | 4.2% |

## Knowledge

- Claude 3.5 Haiku: 18.7 (#281)
- Kimi K2.5: 53.6 (#56)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| GPQA Diamond | 38.1% | 87.6% |
| LMArena Expert | 1208 | 1466 |
| Humanity's Last Exam | — | 24.4% |
| SimpleQA Verified | — | 34.3% |
| MMLU-Pro | 60.5% | — |
| Confabulations | 36.7% | — |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | 36.3% | — |
| MMLU | 74.3% | — |

## Multimodal

- Claude 3.5 Haiku: 26.8 (#117)
- Kimi K2.5: 41.1 (#39)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| LMArena Vision | 1092 | 1269 |
| GeoBench | 34% | — |
| LMArena Document | — | 1430 |

## Multilingual

- Claude 3.5 Haiku: 40.0 (#218)
- Kimi K2.5: 53.9 (#53)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| LMArena Non-English | 1238 | 1433 |
| LMArena Chinese | 1229 | 1495 |
| LMArena French | 1264 | 1454 |
| LMArena German | 1237 | 1441 |
| LMArena Japanese | 1175 | 1421 |
| LMArena Korean | 1173 | 1410 |
| LMArena Russian | 1253 | 1435 |
| LMArena Spanish | 1261 | 1450 |

## Instruction Following

- Claude 3.5 Haiku: 62.9 (#234)
- Kimi K2.5: 75.3 (#64)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| LMArena Instruction Following | 1241 | 1431 |
| LiveBench Instruction Following | 61.9% | — |
| IFEval | 79.2% | — |

## Long Context

- Claude 3.5 Haiku: 38.3 (#200)
- Kimi K2.5: 52.1 (#7)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| LMArena Longer Query | 1261 | 1445 |
| Fiction.LiveBench | — | 86.1% |
| CL-bench | — | 19.3% |
| CL-bench Life | — | 13.2% |

## Writing & Preference

- Claude 3.5 Haiku: 42.7 (#234)
- Kimi K2.5: 65.1 (#53)

| Benchmark | Claude 3.5 Haiku | Kimi K2.5 |
|---|---|---|
| LMArena Text | 1255 | 1445 |
| LMArena Creative Writing | 1233 | 1423 |
| EQ-Bench Creative Writing | 1146 | 1579 |
| LMArena Multi-Turn | 1265 | 1444 |
| Short-Story Creative Writing | 73.5% | — |
| WildBench | 76% | — |
| LiveBench Language | 35.4% | — |

## FAQ

### Is Claude 3.5 Haiku better than Kimi K2.5?

Kimi K2.5 is the stronger model overall, scoring 48.1 to 29.2 on the Noometry Index.

### Is Claude 3.5 Haiku or Kimi K2.5 better for coding?

Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 32.9 in the Noometry coding category.

### How many benchmarks do Claude 3.5 Haiku and Kimi K2.5 share?

26 benchmarks have published results for both models. Claude 3.5 Haiku has 49 scored results on Noometry and Kimi K2.5 has 51.