# GPT-5.5 Pro vs Kimi K2.7 Code

> GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.0 on the Noometry Index. Kimi K2.7 Code costs 39× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-5-pro-vs-kimi-k2-7-code
- Last updated: 2026-10-10
- Shared benchmarks: 8

## Summary

- They share 8 benchmarks with published results for both. GPT-5.5 Pro scores higher in 3 categories and Kimi K2.7 Code in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5.5 Pro leads 73.6 to 38.2.
- The biggest single-benchmark swing is FrontierMath Tier 4: 78% for GPT-5.5 Pro and 12.2% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
- GPT-5.5 Pro accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 64.3 | 43.0 |
| Rank | 7 | 90 |
| Context | 1.05M | 262K |
| Input $/M | $30 | $0.95 |
| Output $/M | $180 | $4 |
| Weights | Proprietary | Open |

## Coding

- GPT-5.5 Pro: —
- Kimi K2.7 Code: 42.4 (#92)

| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
| ALE-Bench | — | 886.23 |

## Agentic & Tool Use

- GPT-5.5 Pro: —
- Kimi K2.7 Code: 23.9 (#115)

| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |

## Reasoning

- GPT-5.5 Pro: 73.6 (#7)
- Kimi K2.7 Code: 38.2 (#56)

| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 76.9% | 57.9% |
| CritPt | 30.6% | 10% |
| Chess Puzzles | 64% | 21% |
| Epoch Capabilities Index | 162.45 | 150.01 |
| ARC-AGI-2 | 84.6% | — |
| ARC-AGI-1 | 96.5% | — |
| DTBench | 96% | — |
| LMCA | 53.9% | — |
| Surface Evolver Bench | — | 48.8% |

## Math

- GPT-5.5 Pro: 83.8 (#8)
- Kimi K2.7 Code: 52.6 (#39)

| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 87.7% | 54% |
| FrontierMath Tier 4 | 78% | 12.2% |
| OTIS Mock AIME 2024-2025 | 100% | 95.6% |
| FrontierMath (Feb 2025 set) | 52.4% | — |
| FrontierMath Tier 4 (v1) | 39.6% | — |

## Knowledge

- GPT-5.5 Pro: 64.2 (#17)
- Kimi K2.7 Code: 53.6 (#51)

| Benchmark | GPT-5.5 Pro | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 93.9% | 87.9% |
| SimpleQA Verified | — | 36.5% |

## FAQ

### Is GPT-5.5 Pro better than Kimi K2.7 Code?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 43.0 on the Noometry Index. Kimi K2.7 Code costs 39× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-5.5 Pro or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

### Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 262K.

### How many benchmarks do GPT-5.5 Pro and Kimi K2.7 Code share?

8 benchmarks have published results for both models. GPT-5.5 Pro has 14 scored results on Noometry and Kimi K2.7 Code has 19.