Model comparison
GPT-6.1 Sol vs Grok 4
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 48.1 on the Noometry Index.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. GPT-6.1 Sol scores higher in 8 categories and Grok 4 in 2 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 48.4.
- The biggest single-benchmark swing is ARC-AGI-2: 94.2% for GPT-6.1 Sol and 16% for Grok 4.
Side by side
| GPT-6.1 Sol | Grok 4 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 65.6 | 48.1 |
| Released | 2026-09-29 | 2025-07-09 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 34 | 48 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Grok 4: 50.3 (#46)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| LMArena Coding | 1487 | 1408 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| Aider Polyglot | — | 79.6% |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
| WeirdML | — | 45.7% |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 39.6 (#26), Grok 4: 32.3 (#68)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| Terminal-Bench | — | 27.2% |
| APEX-Agents | 60% | — |
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 21.1% |
| Cybench | — | 43% |
| DeepResearch Bench | — | 47.3% |
| BALROG | — | 43.6% |
| GDP.pdf | 32% | — |
| LMArena Search | — | 1142 |
| METR Time Horizons | — | 66.6% |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Grok 4: 36.7 (#65)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| ARC-AGI-2 | 94.2% | 16% |
| ARC-AGI-1 | 98.5% | 66.7% |
| Chess Puzzles | 61% | 28% |
| LMArena Hard Prompts | 1466 | 1409 |
| Epoch Capabilities Index | 166.09 | 146.44 |
| SimpleBench | — | 60.5% |
| Kagi LLM Benchmark | — | 73.6% |
| NYT Connections (extended) | 95.5% | — |
| CritPt | 31.7% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| ForecastBench | — | 60.9 |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Grok 4: 48.4 (#64)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 84% |
| LMArena Math | 1464 | 1422 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| ProofBench | 99% | — |
| Omni-MATH | — | 60.3% |
| FrontierMath (Feb 2025 set) | — | 19.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Grok 4: 53.8 (#55)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| GPQA Diamond | 95.4% | 87% |
| LMArena Expert | 1502 | 1415 |
| SimpleQA Verified | 73.9% | — |
| MMLU-Pro | — | 85.1% |
| Confabulations | — | 12.4% |
| GPQA (HELM) | — | 72.7% |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), Grok 4: 33.7 (#94)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| LMArena Vision | 1288 | 1210 |
| GeoBench | — | 45% |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Grok 4: 51.8 (#103)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| LMArena Non-English | 1438 | 1403 |
| LMArena Chinese | 1477 | 1427 |
| LMArena Russian | 1455 | 1410 |
| LMArena French | — | 1418 |
| LMArena German | — | 1429 |
| LMArena Japanese | — | 1394 |
| LMArena Korean | — | 1377 |
| LMArena Spanish | — | 1420 |
Instruction Following Grok 4 leads
GPT-6.1 Sol: 77.0 (#29), Grok 4: 79.2 (#5)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1387 |
| IFEval | — | 94.9% |
Long Context Grok 4 leads
GPT-6.1 Sol: 44.9 (#54), Grok 4: 63.1 (#4)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| LMArena Longer Query | 1465 | 1409 |
| Fiction.LiveBench | — | 94.4% |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Grok 4: 58.5 (#116)
| Benchmark | GPT-6.1 Sol | Grok 4 |
|---|---|---|
| LMArena Text | 1447 | 1411 |
| LMArena Creative Writing | 1432 | 1397 |
| LMArena Multi-Turn | 1449 | 1416 |
| Short-Story Creative Writing | — | 76.9% |
| WildBench | — | 79.7% |
Frequently asked questions
Is GPT-6.1 Sol better than Grok 4?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 48.1 on the Noometry Index.
Is GPT-6.1 Sol or Grok 4 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 50.3 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Grok 4 share?
19 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Grok 4 has 48.