# Claude Haiku 5.5 vs Kimi K3

> Kimi K3 is the stronger model overall, scoring 59.5 to 49.5 on the Noometry Index. Claude Haiku 5.5 costs 30× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/claude-haiku-5-5-vs-kimi-k3
- Last updated: 2026-10-12
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 1 category and Kimi K3 in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K3 leads 63.0 to 35.2.
- The biggest single-benchmark swing is NYT Connections (extended): 65.7% for Claude Haiku 5.5 and 93.6% for Kimi K3.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $3 / $15 for Kimi K3.
- Kimi K3 accepts more context: 1.05M tokens versus 1M.
- Kimi K3 has downloadable open weights; the other is API-only.

## Snapshot

| | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Noometry Index | 49.5 | 59.5 |
| Rank | 52 | 15 |
| Context | 1M | 1.05M |
| Input $/M | $0.10 | $3 |
| Output $/M | $0.50 | $15 |
| Weights | Proprietary | Open |

## Coding

- Claude Haiku 5.5: 49.2 (#50)
- Kimi K3: 61.0 (#10)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| LMArena WebDev | 1587 | 1654 |
| DeepSWE | — | 68.5% |
| FrontierCode | — | 44.2% |
| FrontierSWE | — | 25.9% |
| SciCode | — | 59.5% |
| WeirdML | — | 82.6% |
| LMArena Coding | — | 1508 |
| ALE-Bench | — | 1,524 |

## Agentic & Tool Use

- Claude Haiku 5.5: —
- Kimi K3: 41.8 (#20)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| APEX-Agents | — | 50.6% |
| τ²-bench Banking | — | 37.1% |
| PostTrainBench | — | 32% |
| GBAEval | — | 48.3% |
| GDP.pdf | — | 19% |
| Vending-Bench 2 | — | 5,165 |

## Reasoning

- Claude Haiku 5.5: 35.2 (#69)
- Kimi K3: 63.0 (#17)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| NYT Connections (extended) | 65.7% | 93.6% |
| Mystery Game Puzzles | 30% | 26% |
| ARC-AGI-2 | — | 60.4% |
| SimpleBench | — | 60.7% |
| ARC-AGI-1 | — | 94.5% |
| CritPt | — | 23.4% |
| Chess Puzzles | — | 39% |
| LMArena Hard Prompts | — | 1496 |
| DTBench | — | 91.2% |
| LMCA | — | 52.7% |
| Surface Evolver Bench | — | 95% |
| Epoch Capabilities Index | — | 157.45 |
| ForecastBench | — | 61.1 |

## Math

- Claude Haiku 5.5: 73.6 (#18)
- Kimi K3: 74.2 (#16)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 75.1% | 72.2% |
| FrontierMath Tier 4 | 46.3% | 39% |
| OTIS Mock AIME 2024-2025 | 98.9% | 97.2% |
| MathArena Final-Answer Competitions | — | 87.8% |
| ProofBench | — | 87% |
| LMArena Math | — | 1491 |

## Knowledge

- Claude Haiku 5.5: 50.8 (#70)
- Kimi K3: 63.2 (#21)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| GPQA Diamond | 89.6% | 93.1% |
| SimpleQA Verified | 23.8% | 50.6% |
| LMArena Expert | — | 1521 |

## Multimodal

- Claude Haiku 5.5: 43.7 (#21)
- Kimi K3: 37.8 (#70)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| Furniture Assembly | 47.5% | 34.2% |
| Blueprint-Bench 2 | — | 29.5% |

## Multilingual

- Claude Haiku 5.5: —
- Kimi K3: 56.3 (#21)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| LMArena Non-English | — | 1466 |
| LMArena Chinese | — | 1529 |
| LMArena French | — | 1491 |
| LMArena German | — | 1488 |
| LMArena Japanese | — | 1487 |
| LMArena Korean | — | 1458 |
| LMArena Russian | — | 1482 |
| LMArena Spanish | — | 1472 |

## Instruction Following

- Claude Haiku 5.5: —
- Kimi K3: 77.7 (#14)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| LMArena Instruction Following | — | 1483 |

## Long Context

- Claude Haiku 5.5: —
- Kimi K3: 45.8 (#29)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| LMArena Longer Query | — | 1494 |

## Writing & Preference

- Claude Haiku 5.5: —
- Kimi K3: 76.6 (#4)

| Benchmark | Claude Haiku 5.5 | Kimi K3 |
|---|---|---|
| LMArena Text | — | 1476 |
| LMArena Creative Writing | — | 1454 |
| EQ-Bench Creative Writing | — | 2082 |
| EQ-Bench 4 | — | 1339 |
| LMArena Multi-Turn | — | 1488 |

## FAQ

### Is Claude Haiku 5.5 better than Kimi K3?

Kimi K3 is the stronger model overall, scoring 59.5 to 49.5 on the Noometry Index. Claude Haiku 5.5 costs 30× less per token, which makes it the better buy when Kimi K3's lead doesn't matter for your workload.

### Which is cheaper, Claude Haiku 5.5 or Kimi K3?

Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Kimi K3 lists at $3 and $15.

### Is Claude Haiku 5.5 or Kimi K3 better for coding?

Kimi K3 scores higher on coding benchmarks: 61.0 versus 49.2 in the Noometry coding category.

### Which has the bigger context window?

Kimi K3 does, with 1.05M tokens against 1M.

### How many benchmarks do Claude Haiku 5.5 and Kimi K3 share?

9 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Kimi K3 has 53.