Model comparison
GPT-6 Sol vs Kimi K2 Thinking Turbo
GPT-6 Sol is the stronger model overall, scoring 61.8 to 45.8 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. GPT-6 Sol scores higher in 6 categories and Kimi K2 Thinking Turbo in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6 Sol leads 74.0 to 32.5.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for GPT-6 Sol and 83.1% for Kimi K2 Thinking Turbo.
- Kimi K2 Thinking Turbo has downloadable open weights; the other is API-only.
Side by side
| GPT-6 Sol | Kimi K2 Thinking Turbo | |
|---|---|---|
| Provider | OpenAI | Moonshot AI |
| Noometry Index | 61.8 | 45.8 |
| Released | 2026-09-22 | 2025-11-06 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 45 | 21 |
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Category by category
Coding GPT-6 Sol leads
GPT-6 Sol: 60.1 (#11), Kimi K2 Thinking Turbo: 38.4 (#178)
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena WebDev | 1688 | 1322 |
| LMArena Coding | 1447 | 1454 |
| DeepSWE | 68.8% | — |
| FrontierCode | 49.3% | — |
| SciCode | 57.6% | — |
| ALE-Bench | 2,462 | — |
Agentic & Tool Use Not comparable
GPT-6 Sol: 37.2 (#36), Kimi K2 Thinking Turbo: —
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| APEX-Agents | 54.3% | — |
| GDP.pdf | 26.4% | — |
| Vending-Bench 2 | 14,428 | — |
Reasoning GPT-6 Sol leads
GPT-6 Sol: 74.0 (#9), Kimi K2 Thinking Turbo: 32.5 (#75)
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Hard Prompts | 1418 | 1428 |
| ARC-AGI-2 | 89.6% | — |
| NYT Connections (extended) | 90.1% | — |
| ARC-AGI-1 | 95.5% | — |
| CritPt | 30.9% | — |
| Chess Puzzles | — | 20% |
| EBR-Bench | 53.3% | — |
| Mystery Game Puzzles | 56% | — |
| DTBench | 97.3% | — |
| LMCA | 59.1% | — |
| Epoch Capabilities Index | 162.72 | — |
Math GPT-6 Sol leads
GPT-6 Sol: 87.2 (#7), Kimi K2 Thinking Turbo: 47.4 (#68)
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 83.1% |
| LMArena Math | 1402 | 1429 |
| FrontierMath (Tiers 1-3) | 89.8% | — |
| FrontierMath Tier 4 | 90% | — |
| ProofBench | 83% | — |
Knowledge GPT-6 Sol leads
GPT-6 Sol: 64.8 (#15), Kimi K2 Thinking Turbo: 50.9 (#69)
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| GPQA Diamond | 94.3% | 84.2% |
| LMArena Expert | 1439 | 1439 |
| SimpleQA Verified | 60.7% | — |
| Vectara Hallucination Rate | 6.5% | — |
Multimodal Not comparable
GPT-6 Sol: 47.6 (#10), Kimi K2 Thinking Turbo: —
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Vision | 1245 | — |
| Blueprint-Bench 2 | 36.9% | — |
| Furniture Assembly | 58.3% | — |
Multilingual Too close to call
GPT-6 Sol: 50.5 (#118), Kimi K2 Thinking Turbo: 51.4 (#109)
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Non-English | 1385 | 1398 |
| LMArena Chinese | 1405 | 1456 |
| LMArena French | 1410 | 1425 |
| LMArena German | 1390 | 1390 |
| LMArena Japanese | 1385 | 1357 |
| LMArena Korean | 1341 | 1330 |
| LMArena Russian | 1401 | 1391 |
| LMArena Spanish | 1384 | 1406 |
Instruction Following Too close to call
GPT-6 Sol: 74.5 (#94), Kimi K2 Thinking Turbo: 74.0 (#109)
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Instruction Following | 1412 | 1403 |
Long Context Too close to call
GPT-6 Sol: 43.1 (#108), Kimi K2 Thinking Turbo: 43.2 (#102)
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Longer Query | 1411 | 1415 |
Writing & Preference GPT-6 Sol leads
GPT-6 Sol: 71.9 (#18), Kimi K2 Thinking Turbo: 60.0 (#104)
| Benchmark | GPT-6 Sol | Kimi K2 Thinking Turbo |
|---|---|---|
| LMArena Text | 1395 | 1415 |
| LMArena Creative Writing | 1378 | 1374 |
| LMArena Multi-Turn | 1412 | 1414 |
| EQ-Bench Creative Writing | 2125 | — |
Frequently asked questions
Is GPT-6 Sol better than Kimi K2 Thinking Turbo?
GPT-6 Sol is the stronger model overall, scoring 61.8 to 45.8 on the Noometry Index.
Is GPT-6 Sol or Kimi K2 Thinking Turbo better for coding?
GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 38.4 in the Noometry coding category.
How many benchmarks do GPT-6 Sol and Kimi K2 Thinking Turbo share?
20 benchmarks have published results for both models. GPT-6 Sol has 45 scored results on Noometry and Kimi K2 Thinking Turbo has 21.