Model comparison
GPT-6.1 Sol vs Step 3
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 40.5 on the Noometry Index.
Last verified . 13 shared benchmarks.
StepFunSummary
- They share 13 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and Step 3 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 37.6.
- Step 3 has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | Step 3 | |
|---|---|---|
| Provider | OpenAI | StepFun |
| Noometry Index | 65.6 | 40.5 |
| Released | 2026-09-29 | — |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 34 | 17 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Step 3: 40.1 (#147)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Coding | 1487 | 1367 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Step 3: —
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Step 3: 28.4 (#105)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Hard Prompts | 1466 | 1355 |
| ARC-AGI-2 | 94.2% | — |
| Kagi LLM Benchmark | — | 62.3% |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| Mystery Game Puzzles | 80% | — |
| Epoch Capabilities Index | 166.09 | — |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Step 3: 37.6 (#148)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Math | 1464 | 1366 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Step 3: 36.8 (#164)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Expert | 1502 | 1333 |
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
Multimodal GPT-6.1 Sol leads
GPT-6.1 Sol: 52.7 (#5), Step 3: 35.5 (#86)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Vision | 1288 | 1177 |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Step 3: 46.3 (#159)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Non-English | 1438 | 1327 |
| LMArena Chinese | 1477 | 1397 |
| LMArena Russian | 1455 | 1331 |
| LMArena German | — | 1371 |
| LMArena Korean | — | 1269 |
| LMArena Spanish | — | 1371 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Step 3: 70.4 (#164)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Instruction Following | 1468 | 1332 |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Step 3: 40.3 (#157)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Longer Query | 1465 | 1326 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Step 3: 54.3 (#151)
| Benchmark | GPT-6.1 Sol | Step 3 |
|---|---|---|
| LMArena Text | 1447 | 1350 |
| LMArena Creative Writing | 1432 | 1321 |
| LMArena Multi-Turn | 1449 | 1341 |
Frequently asked questions
Is GPT-6.1 Sol better than Step 3?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 40.5 on the Noometry Index.
Is GPT-6.1 Sol or Step 3 better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 40.1 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Step 3 share?
13 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Step 3 has 17.