Model comparison
GPT-5.1-Codex vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 38.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-5.1-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 math, where Kimi K2.7 Code leads 52.9 to 30.3.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-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-5.1-Codex | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 38.6 | 43.3 |
| Released | 2025-11-12 | 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 | 6 | 19 |
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Category by category
Coding Too close to call
GPT-5.1-Codex: 41.9 (#116), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-5.1-Codex | Kimi K2.7 Code |
|---|---|---|
| LMArena WebDev | 1337 | 1473 |
| ALE-Bench | 1,245 | 886.23 |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| SWE-bench Verified (bash only) | 66% | — |
| SciCode | — | 47.5% |
| WeirdML | — | 54.1% |
Agentic & Tool Use GPT-5.1-Codex leads
GPT-5.1-Codex: 38.0 (#33), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-5.1-Codex | Kimi K2.7 Code |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| APEX-Agents | — | 37.6% |
| GBAEval | — | 0.9% |
| METR Time Horizons | 70.8% | — |
| Vending-Bench 2 | — | 5,083 |
Reasoning Not comparable
GPT-5.1-Codex: —, Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-5.1-Codex | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | — | 57.9% |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| Surface Evolver Bench | — | 48.8% |
| Epoch Capabilities Index | — | 149.97 |
Math Kimi K2.7 Code leads
GPT-5.1-Codex: 30.3 (#235), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-5.1-Codex | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| ProofBench | 9% | — |
Knowledge Not comparable
GPT-5.1-Codex: —, Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-5.1-Codex | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
Frequently asked questions
Is GPT-5.1-Codex better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 38.6 on the Noometry Index.
Which is cheaper, GPT-5.1-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-5.1-Codex lists at $1.25 and $10.
Is GPT-5.1-Codex or Kimi K2.7 Code better for coding?
They score almost the same on coding (41.9 vs 42.9); test both on your own repository before choosing.
Which has the bigger context window?
GPT-5.1-Codex does, with 400K tokens against 262K.
How many benchmarks do GPT-5.1-Codex and Kimi K2.7 Code share?
2 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Kimi K2.7 Code has 19.