Model comparison
GPT-6.1 Sol vs Grok 4.7
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 53.1 on the Noometry Index.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and Grok 4.7 in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 57.8.
- The biggest single-benchmark swing is FrontierMath Tier 4: 100% for GPT-6.1 Sol and 17.1% for Grok 4.7.
- Grok 4.7 is cheaper at $2 / $6 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 500K.
Side by side
| GPT-6.1 Sol | Grok 4.7 | |
|---|---|---|
| Provider | OpenAI | xAI |
| Noometry Index | 65.6 | 53.1 |
| Released | 2026-09-29 | 2026-09-21 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 500K |
| Max output | 128K | 500K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $10 | $6 |
| Results tracked | 34 | 39 |
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: 63.2 (#8), Grok 4.7: 58.0 (#18)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| FrontierCode | 50.2% | 47.6% |
| LMArena WebDev | 1755 | 1639 |
| SciCode | 55.8% | 57.8% |
| LMArena Coding | 1487 | 1427 |
| DeepSWE | 75.2% | — |
| CursorBench | — | 46.3% |
| FrontierSWE | — | 29.5% |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 39.6 (#26), Grok 4.7: 36.7 (#37)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| APEX-Agents | 60% | 54.6% |
| GDP.pdf | 32% | 22.8% |
| Vending-Bench 2 | — | 10,537 |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Grok 4.7: 49.1 (#40)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| NYT Connections (extended) | 95.5% | 76.8% |
| CritPt | 31.7% | 18% |
| Chess Puzzles | 61% | 38% |
| LMArena Hard Prompts | 1466 | 1413 |
| Mystery Game Puzzles | 80% | 29% |
| Epoch Capabilities Index | 166.09 | 153.53 |
| ARC-AGI-2 | 94.2% | — |
| ARC-AGI-1 | 98.5% | — |
| EBR-Bench | 54.3% | — |
| DTBench | — | 96% |
| LMCA | — | 49.4% |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Grok 4.7: 57.8 (#39)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | 53% |
| FrontierMath Tier 4 | 100% | 17.1% |
| OTIS Mock AIME 2024-2025 | 100% | 98.1% |
| ProofBench | 99% | 34% |
| LMArena Math | 1464 | 1407 |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Grok 4.7: 62.8 (#22)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| GPQA Diamond | 95.4% | 92.7% |
| SimpleQA Verified | 73.9% | 56% |
| LMArena Expert | 1502 | 1422 |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), Grok 4.7: 35.5 (#87)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| LMArena Vision | 1288 | 1228 |
| Furniture Assembly | 80% | 20.8% |
| Blueprint-Bench 2 | — | 32.5% |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Grok 4.7: 50.8 (#116)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| LMArena Non-English | 1438 | 1389 |
| LMArena Chinese | 1477 | 1455 |
| LMArena Russian | 1455 | 1397 |
| LMArena French | — | 1455 |
| LMArena Spanish | — | 1400 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Grok 4.7: 74.1 (#105)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1404 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Grok 4.7: 43.1 (#104)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| LMArena Longer Query | 1465 | 1413 |
Writing & Preference Grok 4.7 leads
GPT-6.1 Sol: 63.6 (#63), Grok 4.7: 70.0 (#24)
| Benchmark | GPT-6.1 Sol | Grok 4.7 |
|---|---|---|
| LMArena Text | 1447 | 1399 |
| LMArena Creative Writing | 1432 | 1391 |
| LMArena Multi-Turn | 1449 | 1393 |
| EQ-Bench Creative Writing | — | 2007 |
Frequently asked questions
Is GPT-6.1 Sol better than Grok 4.7?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 53.1 on the Noometry Index.
Which is cheaper, GPT-6.1 Sol or Grok 4.7?
Grok 4.7 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or Grok 4.7 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 58.0 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 500K.
How many benchmarks do GPT-6.1 Sol and Grok 4.7 share?
30 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Grok 4.7 has 39.