Model comparison
GPT-6.1 Sol vs Grok 3
Grok 3 has enough public results to be ranked (#150); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 41.5.
Side by side
| GPT-6.1 Sol | Grok 3 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 42.1 | 39.6 |
| Released | 2026-09-29 | 2025-04-09 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 2 | 40 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, Grok 3: 41.5 (#113)
| Benchmark | GPT-6.1 Sol | Grok 3 |
|---|---|---|
| DeepSWE | 75.2% | — |
| Aider Polyglot | — | 53.3% |
| WeirdML | — | 37.2% |
| LMArena Coding | — | 1432 |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 34.3, Grok 3: 30.2 (#69)
Reasoning Not comparable
GPT-6.1 Sol: —, Grok 3: 13.8 (#322)
| Benchmark | GPT-6.1 Sol | Grok 3 |
|---|---|---|
| ARC-AGI-2 | — | 0% |
| SimpleBench | — | 36.1% |
| Kagi LLM Benchmark | — | 61.3% |
| ARC-AGI-1 | — | 5.5% |
| LMArena Hard Prompts | — | 1433 |
| Epoch Capabilities Index | — | 138.34 |
Math Not comparable
GPT-6.1 Sol: —, Grok 3: 36.2 (#122)
| Benchmark | GPT-6.1 Sol | Grok 3 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 55.6% |
| Omni-MATH | — | 46.4% |
| LMArena Math | — | 1390 |
| MATH Level 5 | — | 88.7% |
| FrontierMath (Feb 2025 set) | — | 3.8% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Not comparable
GPT-6.1 Sol: —, Grok 3: 46.0 (#76)
| Benchmark | GPT-6.1 Sol | Grok 3 |
|---|---|---|
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 78.8% |
| Confabulations | — | 14.2% |
| Vectara Hallucination Rate | — | 5.8% |
| GPQA (HELM) | — | 65% |
| LMArena Expert | — | 1420 |
Multilingual Not comparable
GPT-6.1 Sol: —, Grok 3: 52.5 (#81)
| Benchmark | GPT-6.1 Sol | Grok 3 |
|---|---|---|
| LMArena Non-English | — | 1411 |
| LMArena Chinese | — | 1448 |
| LMArena French | — | 1460 |
| LMArena German | — | 1431 |
| LMArena Japanese | — | 1389 |
| LMArena Korean | — | 1374 |
| LMArena Russian | — | 1416 |
| LMArena Spanish | — | 1417 |
Instruction Following Not comparable
GPT-6.1 Sol: —, Grok 3: 75.2 (#69)
| Benchmark | GPT-6.1 Sol | Grok 3 |
|---|---|---|
| IFEval | — | 88.4% |
| LMArena Instruction Following | — | 1409 |
Long Context Not comparable
GPT-6.1 Sol: —, Grok 3: 38.7 (#187)
| Benchmark | GPT-6.1 Sol | Grok 3 |
|---|---|---|
| Fiction.LiveBench | — | 58.3% |
| LMArena Longer Query | — | 1439 |
Writing & Preference Not comparable
GPT-6.1 Sol: —, Grok 3: 56.0 (#136)
| Benchmark | GPT-6.1 Sol | Grok 3 |
|---|---|---|
| LMArena Text | — | 1426 |
| LMArena Creative Writing | — | 1414 |
| Short-Story Creative Writing | — | 76.4% |
| EQ-Bench Creative Writing | — | 1186 |
| WildBench | — | 84.9% |
| LMArena Multi-Turn | — | 1424 |
Frequently asked questions
Is GPT-6.1 Sol better than Grok 3?
Grok 3 has enough public results to be ranked (#150); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Is GPT-6.1 Sol or Grok 3 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 41.5 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Grok 3 share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Grok 3 has 40.