Model comparison
GPT-6.1 Sol vs GPT-6 Sol
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 61.8 on the Noometry Index.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and GPT-6 Sol in 1 category; 10 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-6 Sol leads 71.9 to 63.6.
- The biggest single-benchmark swing is Mystery Game Puzzles: 80% for GPT-6.1 Sol and 56% for GPT-6 Sol.
- Both cost about the same: $2 input and $10 output per million tokens.
Side by side
| GPT-6.1 Sol | GPT-6 Sol | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 65.6 | 61.8 |
| Released | 2026-09-29 | 2026-09-22 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 1.05M |
| Max output | 128K | 128K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $10 | $10 |
| Results tracked | 34 | 45 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), GPT-6 Sol: 60.1 (#11)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| DeepSWE | 75.2% | 68.8% |
| FrontierCode | 50.2% | 49.3% |
| LMArena WebDev | 1755 | 1688 |
| SciCode | 55.8% | 57.6% |
| LMArena Coding | 1487 | 1447 |
| ALE-Bench | — | 2,462 |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 39.6 (#26), GPT-6 Sol: 37.2 (#36)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| APEX-Agents | 60% | 54.3% |
| GDP.pdf | 32% | 26.4% |
| Vending-Bench 2 | — | 14,428 |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), GPT-6 Sol: 74.0 (#9)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| ARC-AGI-2 | 94.2% | 89.6% |
| NYT Connections (extended) | 95.5% | 90.1% |
| ARC-AGI-1 | 98.5% | 95.5% |
| CritPt | 31.7% | 30.9% |
| EBR-Bench | 54.3% | 53.3% |
| LMArena Hard Prompts | 1466 | 1418 |
| Mystery Game Puzzles | 80% | 56% |
| Epoch Capabilities Index | 166.09 | 162.72 |
| Chess Puzzles | 61% | — |
| DTBench | — | 97.3% |
| LMCA | — | 59.1% |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), GPT-6 Sol: 87.2 (#7)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | 89.8% |
| FrontierMath Tier 4 | 100% | 90% |
| OTIS Mock AIME 2024-2025 | 100% | 100% |
| ProofBench | 99% | 83% |
| LMArena Math | 1464 | 1402 |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), GPT-6 Sol: 64.8 (#15)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| GPQA Diamond | 95.4% | 94.3% |
| SimpleQA Verified | 73.9% | 60.7% |
| LMArena Expert | 1502 | 1439 |
| Vectara Hallucination Rate | — | 6.5% |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), GPT-6 Sol: 47.6 (#10)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| LMArena Vision | 1288 | 1245 |
| Furniture Assembly | 80% | 58.3% |
| Blueprint-Bench 2 | — | 36.9% |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), GPT-6 Sol: 50.5 (#118)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| LMArena Non-English | 1438 | 1385 |
| LMArena Chinese | 1477 | 1405 |
| LMArena Russian | 1455 | 1401 |
| LMArena French | — | 1410 |
| LMArena German | — | 1390 |
| LMArena Japanese | — | 1385 |
| LMArena Korean | — | 1341 |
| LMArena Spanish | — | 1384 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), GPT-6 Sol: 74.5 (#94)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| LMArena Instruction Following | 1468 | 1412 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), GPT-6 Sol: 43.1 (#108)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| LMArena Longer Query | 1465 | 1411 |
Writing & Preference GPT-6 Sol leads
GPT-6.1 Sol: 63.6 (#63), GPT-6 Sol: 71.9 (#18)
| Benchmark | GPT-6.1 Sol | GPT-6 Sol |
|---|---|---|
| LMArena Text | 1447 | 1395 |
| LMArena Creative Writing | 1432 | 1378 |
| LMArena Multi-Turn | 1449 | 1412 |
| EQ-Bench Creative Writing | — | 2125 |
Frequently asked questions
Is GPT-6.1 Sol better than GPT-6 Sol?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 61.8 on the Noometry Index.
Which is cheaper, GPT-6.1 Sol or GPT-6 Sol?
GPT-6 Sol is cheaper. It lists at $2 per million input tokens and $10 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or GPT-6 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 60.1 in the Noometry coding category.
Which has the bigger context window?
Both accept 1.05M tokens.
How many benchmarks do GPT-6.1 Sol and GPT-6 Sol share?
33 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and GPT-6 Sol has 45.