Model comparison
GPT-5-Codex vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 37.9 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-5-Codex scores higher in 1 category and Kimi K2.7 Code in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 30.9.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.25 / $10 for GPT-5-Codex.
- GPT-5-Codex 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-Codex | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 37.9 | 43.3 |
| Released | 2025-09-15 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 400K | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $1.25 | $0.95 |
| Output $ / M tokens | $10 | $4 |
| Results tracked | 3 | 19 |
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Category by category
Coding Too close to call
GPT-5-Codex: 42.4 (#103), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-5-Codex | Kimi K2.7 Code |
|---|---|---|
| WeirdML | 54.5% | 54.1% |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| ALE-Bench | — | 886.23 |
Agentic & Tool Use GPT-5-Codex leads
GPT-5-Codex: 31.0 (#72), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-5-Codex | Kimi K2.7 Code |
|---|---|---|
| Terminal-Bench | 44.3% | — |
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
GPT-5-Codex: 30.9 (#83), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-5-Codex | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | — | 57.9% |
| Kagi LLM Benchmark | 70.3% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |
Math Not comparable
GPT-5-Codex: —, Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-5-Codex | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
Knowledge Not comparable
GPT-5-Codex: —, Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-5-Codex | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
Frequently asked questions
Is GPT-5-Codex better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 37.9 on the Noometry Index.
Which is cheaper, GPT-5-Codex 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-Codex lists at $1.25 and $10.
Is GPT-5-Codex or Kimi K2.7 Code better for coding?
They score almost the same on coding (42.4 vs 42.9); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5-Codex and Kimi K2.7 Code share?
1 benchmark has published results for both models. GPT-5-Codex has 3 scored results on Noometry and Kimi K2.7 Code has 19.