Model comparison
GPT-5 Pro vs Kimi K2.7 Code
GPT-5 Pro is the stronger model overall, scoring 46.4 to 43.3 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.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. GPT-5 Pro scores higher in 2 categories and Kimi K2.7 Code in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 48.5.
- 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.
Side by side
| GPT-5 Pro | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 46.4 | 43.3 |
| Released | 2025-10-06 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 272K | 262K |
| Input $ / M tokens | $15 | $0.95 |
| Output $ / M tokens | $120 | $4 |
| Results tracked | 12 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 44.0 (#80), Kimi K2.7 Code: 42.9 (#95)
| 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 Not comparable
GPT-5 Pro: —, Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-5 Pro | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Too close to call
GPT-5 Pro: 38.9 (#62), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-5 Pro | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 61.6% | 57.9% |
| Epoch Capabilities Index | 150.28 | 149.97 |
| 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 Kimi K2.7 Code leads
GPT-5 Pro: 48.5 (#63), Kimi K2.7 Code: 52.9 (#48)
| 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 leads
GPT-5 Pro: 56.7 (#42), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-5 Pro | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| Humanity's Last Exam | 31.6% | — |
| SimpleQA Verified | — | 36.5% |
Frequently asked questions
Is GPT-5 Pro better than Kimi K2.7 Code?
GPT-5 Pro is the stronger model overall, scoring 46.4 to 43.3 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: 44.0 versus 42.9 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.