# GPT-5 Pro vs Kimi K2.7 Code

> GPT-5 Pro is the stronger model overall, scoring 46.2 to 43.0 on the Noometry Index. Kimi K2.7 Code costs 24× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

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

## Summary

- They share 5 benchmarks with published results for both. GPT-5 Pro scores higher in 3 categories and Kimi K2.7 Code in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.6 to 48.0.
- The biggest single-benchmark swing is FrontierMath Tier 4: 19.5% for GPT-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 $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Pro | Kimi K2.7 Code |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 46.2 | 43.0 |
| Rank | 58 | 90 |
| Context | 400K | 262K |
| Input $/M | $15 | $0.95 |
| Output $/M | $120 | $4 |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Pro: 43.4 (#77)
- Kimi K2.7 Code: 42.4 (#92)

| Benchmark | GPT-5 Pro | Kimi K2.7 Code |
|---|---|---|
| WeirdML | 60.4% | 54.1% |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| ALE-Bench | — | 886.23 |
| AlgoTune | 1.31 | — |

## Agentic & Tool Use

- GPT-5 Pro: —
- Kimi K2.7 Code: 23.9 (#115)

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

## Reasoning

- GPT-5 Pro: 39.2 (#52)
- Kimi K2.7 Code: 38.2 (#56)

| Benchmark | GPT-5 Pro | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 61.6% | 57.9% |
| Epoch Capabilities Index | 150.26 | 150.01 |
| ARC-AGI-2 | 18.3% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| EnigmaEval | 18.8% | — |
| Surface Evolver Bench | — | 48.8% |

## Math

- GPT-5 Pro: 48.0 (#53)
- Kimi K2.7 Code: 52.6 (#39)

| Benchmark | GPT-5 Pro | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | 54% |
| FrontierMath Tier 4 | 19.5% | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| FrontierMath Tier 4 (v1) | 14.6% | — |

## Knowledge

- GPT-5 Pro: 56.2 (#39)
- Kimi K2.7 Code: 53.6 (#51)

| Benchmark | GPT-5 Pro | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| Humanity's Last Exam | 31.6% | — |
| SimpleQA Verified | — | 36.5% |

## FAQ

### Is GPT-5 Pro better than Kimi K2.7 Code?

GPT-5 Pro is the stronger model overall, scoring 46.2 to 43.0 on the Noometry Index. Kimi K2.7 Code costs 24× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.

### Which is cheaper, GPT-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 Pro lists at $15 and $120.

### Is GPT-5 Pro or Kimi K2.7 Code better for coding?

GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 42.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Pro does, with 400K tokens against 262K.

### How many benchmarks do GPT-5 Pro and Kimi K2.7 Code share?

5 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Kimi K2.7 Code has 19.