Model comparison
GPT-6.1 Sol vs o3
o3 has enough public results to be ranked (#53); 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 47.3.
- o3 is cheaper at $2 / $8 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 200K.
Side by side
| GPT-6.1 Sol | o3 | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 42.1 | 47.4 |
| Released | 2026-09-29 | 2025-04-16 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 200K |
| Max output | 128K | 100K |
| Input $ / M tokens | $2 | $2 |
| Output $ / M tokens | $10 | $8 |
| Results tracked | 2 | 63 |
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, o3: 47.3 (#57)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| SWE-bench Verified | — | 62.3% |
| DeepSWE | 75.2% | — |
| SWE-bench Verified (bash only) | — | 58.4% |
| Aider Polyglot | — | 81.3% |
| GSO | — | 8.8% |
| WeirdML | — | 52.4% |
| LMArena Coding | — | 1408 |
| CadEval | — | 74% |
| ALE-Bench | — | 933.55 |
Agentic & Tool Use Too close to call
GPT-6.1 Sol: 34.3, o3: 34.3 (#42)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 63% |
| GDPval | — | 30.8% |
| DeepResearch Bench | — | 45.2% |
| OSWorld | — | 23% |
| GDP.pdf | 32% | — |
| LMArena Search | — | 1144 |
| METR Time Horizons | — | 65.4% |
Reasoning Not comparable
GPT-6.1 Sol: —, o3: 32.1 (#66)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| ARC-AGI-2 | — | 6.5% |
| SimpleBench | — | 53.1% |
| Kagi LLM Benchmark | — | 67.6% |
| ARC-AGI-1 | — | 60.8% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 38% |
| EnigmaEval | — | 13.1% |
| LMArena Hard Prompts | — | 1402 |
| Mystery Game Puzzles | — | 29% |
| DTBench | — | 84.8% |
| LMCA | — | 39.7% |
| Epoch Capabilities Index | — | 146.88 |
| ForecastBench | — | 62.5 |
Math Not comparable
GPT-6.1 Sol: —, o3: 48.9 (#49)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 33.3% |
| OTIS Mock AIME 2024-2025 | — | 84.4% |
| Omni-MATH | — | 71.4% |
| LMArena Math | — | 1426 |
| MATH Level 5 | — | 97.8% |
| FrontierMath (Feb 2025 set) | — | 18.7% |
| FrontierMath Tier 4 (v1) | — | 2.1% |
Knowledge Not comparable
GPT-6.1 Sol: —, o3: 54.5 (#47)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| GPQA Diamond | — | 81.8% |
| Humanity's Last Exam | — | 20.3% |
| SimpleQA Verified | — | 49.4% |
| MMLU-Pro | — | 85.9% |
| Confabulations | — | 14.4% |
| GPQA (HELM) | — | 75.3% |
| LMArena Expert | — | 1403 |
Multimodal Not comparable
GPT-6.1 Sol: —, o3: 40.7 (#35)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| LMArena Vision | — | 1214 |
| GeoBench | — | 74% |
| VPCT | — | 52% |
Multilingual Not comparable
GPT-6.1 Sol: —, o3: 51.9 (#99)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| LMArena Non-English | — | 1402 |
| LMArena Chinese | — | 1438 |
| LMArena French | — | 1430 |
| LMArena German | — | 1420 |
| LMArena Japanese | — | 1404 |
| LMArena Korean | — | 1371 |
| LMArena Russian | — | 1407 |
| LMArena Spanish | — | 1395 |
Instruction Following Not comparable
GPT-6.1 Sol: —, o3: 73.0 (#122)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| IFEval | — | 86.9% |
| LMArena Instruction Following | — | 1368 |
Long Context Not comparable
GPT-6.1 Sol: —, o3: 53.2 (#6)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| Fiction.LiveBench | — | 88.9% |
| CL-bench | — | 17.8% |
| LMArena Longer Query | — | 1372 |
Writing & Preference Not comparable
GPT-6.1 Sol: —, o3: 63.7 (#62)
| Benchmark | GPT-6.1 Sol | o3 |
|---|---|---|
| LMArena Text | — | 1410 |
| LMArena Creative Writing | — | 1359 |
| Short-Story Creative Writing | — | 83.9% |
| EQ-Bench Creative Writing | — | 1676 |
| WildBench | — | 86.1% |
| LMArena Multi-Turn | — | 1405 |
Frequently asked questions
Is GPT-6.1 Sol better than o3?
o3 has enough public results to be ranked (#53); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Which is cheaper, GPT-6.1 Sol or o3?
o3 is cheaper. It lists at $2 per million input tokens and $8 per million output tokens; GPT-6.1 Sol lists at $2 and $10.
Is GPT-6.1 Sol or o3 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 47.3 in the Noometry coding category.
Which has the bigger context window?
GPT-6.1 Sol does, with 1.05M tokens against 200K.
How many benchmarks do GPT-6.1 Sol and o3 share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and o3 has 63.