Model comparison
Claude Haiku 5.5 vs Kimi K2.7 Code
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 43.3 on the Noometry Index.
Last verified . 6 shared benchmarks.
Summary
- They share 6 benchmarks with published results for both. Claude Haiku 5.5 scores higher in 2 categories and Kimi K2.7 Code in 2 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Claude Haiku 5.5 leads 73.6 to 52.9.
- The biggest single-benchmark swing is FrontierMath Tier 4: 46.3% for Claude Haiku 5.5 and 12.2% for Kimi K2.7 Code.
- Claude Haiku 5.5 is cheaper at $0.10 / $0.50 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Claude Haiku 5.5 accepts more context: 1M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Claude Haiku 5.5 | Kimi K2.7 Code | |
|---|---|---|
| Provider | Anthropic | Moonshot AI |
| Noometry Index | 49.5 | 43.3 |
| Released | 2026-10-07 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 1M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $0.10 | $0.95 |
| Output $ / M tokens | $0.50 | $4 |
| Results tracked | 9 | 19 |
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Category by category
Coding Claude Haiku 5.5 leads
Claude Haiku 5.5: 49.2 (#50), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Claude Haiku 5.5 | Kimi K2.7 Code |
|---|---|---|
| LMArena WebDev | 1587 | 1473 |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| ALE-Bench | — | 886.23 |
Agentic & Tool Use Not comparable
Claude Haiku 5.5: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Claude Haiku 5.5 | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Claude Haiku 5.5: 35.2 (#69), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Claude Haiku 5.5 | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | — | 57.9% |
| NYT Connections (extended) | 65.7% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| Mystery Game Puzzles | 30% | — |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |
Math Claude Haiku 5.5 leads
Claude Haiku 5.5: 73.6 (#18), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Claude Haiku 5.5 | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 75.1% | 54% |
| FrontierMath Tier 4 | 46.3% | 12.2% |
| OTIS Mock AIME 2024-2025 | 98.9% | 95.6% |
Knowledge Kimi K2.7 Code leads
Claude Haiku 5.5: 50.8 (#70), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Claude Haiku 5.5 | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 89.6% | 87.9% |
| SimpleQA Verified | 23.8% | 36.5% |
Multimodal Not comparable
Claude Haiku 5.5: 43.7 (#21), Kimi K2.7 Code: —
| Benchmark | Claude Haiku 5.5 | Kimi K2.7 Code |
|---|---|---|
| Furniture Assembly | 47.5% | — |
Frequently asked questions
Is Claude Haiku 5.5 better than Kimi K2.7 Code?
Claude Haiku 5.5 is the stronger model overall, scoring 49.5 to 43.3 on the Noometry Index.
Which is cheaper, Claude Haiku 5.5 or Kimi K2.7 Code?
Claude Haiku 5.5 is cheaper. It lists at $0.10 per million input tokens and $0.50 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Claude Haiku 5.5 or Kimi K2.7 Code better for coding?
Claude Haiku 5.5 scores higher on coding benchmarks: 49.2 versus 42.9 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 K2.7 Code share?
6 benchmarks have published results for both models. Claude Haiku 5.5 has 9 scored results on Noometry and Kimi K2.7 Code has 19.