Model comparison
GPT-6 Sol vs Kimi K2.7 Code
GPT-6 Sol is the stronger model overall, scoring 61.8 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.3× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Last verified . 14 shared benchmarks.
Summary
- They share 14 benchmarks with published results for both. GPT-6 Sol scores higher in 5 categories and Kimi K2.7 Code in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 74.0 to 39.0.
- The biggest single-benchmark swing is FrontierMath Tier 4: 90% for GPT-6 Sol and 12.2% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
- GPT-6 Sol accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Kimi K2.7 Code | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 61.8 | 43.3 |
| Released | 2026-09-22 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 128K | 262K |
| Input $ / M tokens | $2 | $0.95 |
| Output $ / M tokens | $10 | $4 |
| Results tracked | 45 | 19 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| DeepSWE | 68.8% | 30.5% |
| FrontierCode | 49.3% | 30.1% |
| LMArena WebDev | 1688 | 1473 |
| SciCode | 57.6% | 47.5% |
| ALE-Bench | 2,462 | 886.23 |
| WeirdML | — | 54.1% |
| LMArena Coding | 1447 | — |
Agentic & Tool Use GPT-6 Sol leads
GPT-6 Sol: 37.2 (#36), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | 54.3% | 37.6% |
| Vending-Bench 2 | 14,428 | 5,083 |
| GBAEval | — | 0.9% |
| GDP.pdf | 26.4% | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| CritPt | 30.9% | 10% |
| Epoch Capabilities Index | 162.72 | 149.97 |
| ARC-AGI-2 | 89.6% | — |
| SimpleBench | — | 57.9% |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | 95.5% | — |
| Chess Puzzles | — | 21% |
| EBR-Bench | 53.3% | — |
| LMArena Hard Prompts | 1418 | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 97.3% | — |
| LMCA | 59.1% | — |
| Surface Evolver Bench | — | 48.8% |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 89.8% | 54% |
| FrontierMath Tier 4 | 90% | 12.2% |
| OTIS Mock AIME 2024-2025 | 100% | 95.6% |
| ProofBench | 83% | — |
| LMArena Math | 1402 | — |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 64.8 (#15), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 94.3% | 87.9% |
| SimpleQA Verified | 60.7% | 36.5% |
| Vectara Hallucination Rate | 6.5% | — |
| LMArena Expert | 1439 | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Kimi K2.7 Code: —
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
Multilingual Not comparable
GPT-6 Sol: 50.5 (#118), Kimi K2.7 Code: —
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1385 | — |
| LMArena Chinese | 1405 | — |
| LMArena French | 1410 | — |
| LMArena German | 1390 | — |
| LMArena Japanese | 1385 | — |
| LMArena Korean | 1341 | — |
| LMArena Russian | 1401 | — |
| LMArena Spanish | 1384 | — |
Instruction Following Not comparable
GPT-6 Sol: 74.5 (#94), Kimi K2.7 Code: —
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1412 | — |
Long Context Not comparable
GPT-6 Sol: 43.1 (#108), Kimi K2.7 Code: —
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1411 | — |
Writing & Preference Not comparable
GPT-6 Sol: 71.9 (#18), Kimi K2.7 Code: —
| Benchmark | GPT-6 Sol | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1395 | — |
| LMArena Creative Writing | 1378 | — |
| EQ-Bench Creative Writing | 2125 | — |
| LMArena Multi-Turn | 1412 | — |
Frequently asked questions
Is GPT-6 Sol better than Kimi K2.7 Code?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.3× less per token, which makes it the better buy when GPT-6 Sol's lead doesn't matter for your workload.
Which is cheaper, GPT-6 Sol 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-6 Sol lists at $2 and $10.
Is GPT-6 Sol or Kimi K2.7 Code better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 42.9 in the Noometry coding category.
Which has the bigger context window?
GPT-6 Sol does, with 1.05M tokens against 262K.
How many benchmarks do GPT-6 Sol and Kimi K2.7 Code share?
14 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Kimi K2.7 Code has 19.