Model comparison
GPT-4.5 vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 37.2 on the Noometry Index.
Last verified . 5 shared benchmarks.
Summary
- They share 5 benchmarks with published results for both. GPT-4.5 scores higher in 1 category and Kimi K2.7 Code in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Kimi K2.7 Code leads 39.0 to 13.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 37.8% for GPT-4.5 and 95.6% for Kimi K2.7 Code.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 37.2 | 43.3 |
| Released | 2025-02-27 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 42 | 19 |
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Category by category
Coding Too close to call
GPT-4.5: 42.2 (#109), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| WeirdML | 39.4% | 54.1% |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| Aider Polyglot | 44.9% | — |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| LiveBench Coding | 75.2% | — |
| LMArena Coding | 1396 | — |
| ALE-Bench | — | 886.23 |
Agentic & Tool Use GPT-4.5 leads
GPT-4.5: 27.9 (#97), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| Cybench | 17.5% | — |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
GPT-4.5: 13.9 (#330), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 34.5% | 57.9% |
| Epoch Capabilities Index | 136.74 | 149.97 |
| ARC-AGI-2 | 0.8% | — |
| ARC-AGI-1 | 10.3% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LMArena Hard Prompts | 1403 | — |
| LiveBench Data Analysis | 64.3% | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math Kimi K2.7 Code leads
GPT-4.5: 32.6 (#211), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| LiveBench Math | 69.3% | — |
| LMArena Math | 1412 | — |
| MATH Level 5 | 78.6% | — |
Knowledge Kimi K2.7 Code leads
GPT-4.5: 32.5 (#211), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 68.7% | 87.9% |
| Humanity's Last Exam | 5.4% | — |
| SimpleQA Verified | — | 36.5% |
| Confabulations | 13.6% | — |
| LMArena Expert | 1394 | — |
Multimodal Not comparable
GPT-4.5: 37.6 (#71), Kimi K2.7 Code: —
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual Not comparable
GPT-4.5: 52.5 (#83), Kimi K2.7 Code: —
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1413 | — |
| LMArena Chinese | 1421 | — |
| LMArena French | 1418 | — |
| LMArena German | 1457 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
| LMArena Russian | 1419 | — |
Instruction Following Not comparable
GPT-4.5: 72.6 (#134), Kimi K2.7 Code: —
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| LiveBench Instruction Following | 72.3% | — |
| LMArena Instruction Following | 1404 | — |
Long Context Not comparable
GPT-4.5: 40.4 (#155), Kimi K2.7 Code: —
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| Fiction.LiveBench | 63.9% | — |
| LMArena Longer Query | 1406 | — |
Writing & Preference Not comparable
GPT-4.5: 56.9 (#134), Kimi K2.7 Code: —
| Benchmark | GPT-4.5 | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1417 | — |
| LMArena Creative Writing | 1394 | — |
| Short-Story Creative Writing | 75.6% | — |
| EQ-Bench Creative Writing | 1258 | — |
| LMArena Multi-Turn | 1444 | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 37.2 on the Noometry Index.
Is GPT-4.5 or Kimi K2.7 Code better for coding?
They score almost the same on coding (42.2 vs 42.9); test both on your own repository before choosing.
How many benchmarks do GPT-4.5 and Kimi K2.7 Code share?
5 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Kimi K2.7 Code has 19.