Model comparison
o1 vs Step 3.7 Flash
o1 is the stronger model overall, scoring 40.9 to 37.3 on the Noometry Index. Step 3.7 Flash costs 63× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
StepFunSummary
- The widest gap is in math, where Step 3.7 Flash leads 42.9 to 36.1.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $15 / $60 for o1.
- Step 3.7 Flash accepts more context: 256K tokens versus 200K.
- Step 3.7 Flash has downloadable open weights; the other is API-only.
Side by side
| o1 | Step 3.7 Flash | |
|---|---|---|
| Provider | OpenAI | StepFun |
| Noometry Index | 40.9 | 37.3 |
| Released | 2024-09-12 | 2026-05-29 |
| Weights | Proprietary | Open |
| Context window | 200K | 256K |
| Max output | 100K | 256K |
| Input $ / M tokens | $15 | $0.18 |
| Output $ / M tokens | $60 | $1.11 |
| Results tracked | 52 | 5 |
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Category by category
Coding o1 leads
o1: 46.1 (#70), Step 3.7 Flash: 40.0 (#150)
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| Aider Polyglot | 61.7% | — |
| SciCode | — | 40% |
| WeirdML | 47.6% | — |
| LiveBench Coding | 69.7% | — |
| LMArena Coding | 1367 | — |
| CadEval | 56% | — |
| ALE-Bench | — | 694.12 |
| HumanEval+ | 89% | — |
| MBPP+ | 80.2% | — |
Agentic & Tool Use Not comparable
o1: 24.6 (#117), Step 3.7 Flash: —
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| Cybench | 10% | — |
| METR Time Horizons | 51.1% | — |
Reasoning o1 leads
o1: 27.9 (#111), Step 3.7 Flash: 21.6 (#219)
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| SimpleBench | 41.7% | — |
| NYT Connections (extended) | — | 39.7% |
| ARC-AGI-1 | 30.7% | — |
| CritPt | — | 2.3% |
| Chess Puzzles | 15% | — |
| EnigmaEval | 5.7% | — |
| LiveBench Reasoning | 91.6% | — |
| LMArena Hard Prompts | 1371 | — |
| DTBench | 74.7% | — |
| LiveBench Data Analysis | 65.5% | — |
| LMCA | 22.3% | — |
| Epoch Capabilities Index | 141.91 | — |
| LiveBench | 75.7% | — |
Math Step 3.7 Flash leads
o1: 36.1 (#175), Step 3.7 Flash: 42.9 (#82)
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 14.7% | — |
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 73.3% | — |
| LiveBench Math | 80.3% | — |
| LMArena Math | 1388 | — |
| MATH Level 5 | 94.7% | — |
| FrontierMath (Feb 2025 set) | 9.3% | — |
Knowledge Not comparable
o1: 41.5 (#110), Step 3.7 Flash: —
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 76.8% | — |
| Humanity's Last Exam | 8% | — |
| SimpleQA Verified | 41.1% | — |
| Confabulations | 11.7% | — |
| LMArena Expert | 1361 | — |
Multimodal Not comparable
o1: 34.2 (#93), Step 3.7 Flash: —
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1168 | — |
| GeoBench | 80% | — |
| VPCT | 37% | — |
| SpatialViz-Bench | 41.4% | — |
Multilingual Not comparable
o1: 48.6 (#142), Step 3.7 Flash: —
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1358 | — |
| LMArena Chinese | 1394 | — |
| LMArena French | 1344 | — |
| LMArena German | 1337 | — |
| LMArena Japanese | 1346 | — |
| LMArena Korean | 1396 | — |
| LMArena Russian | 1356 | — |
| LMArena Spanish | 1345 | — |
Instruction Following Not comparable
o1: 74.8 (#86), Step 3.7 Flash: —
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| LiveBench Instruction Following | 81.5% | — |
| LMArena Instruction Following | 1367 | — |
Long Context Not comparable
o1: 50.3 (#9), Step 3.7 Flash: —
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| Fiction.LiveBench | 83.3% | — |
| LMArena Longer Query | 1378 | — |
Writing & Preference Not comparable
o1: 55.6 (#144), Step 3.7 Flash: —
| Benchmark | o1 | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1366 | — |
| LMArena Creative Writing | 1348 | — |
| Short-Story Creative Writing | 70.2% | — |
| LMArena Multi-Turn | 1369 | — |
| LiveBench Language | 65.4% | — |
Frequently asked questions
Is o1 better than Step 3.7 Flash?
o1 is the stronger model overall, scoring 40.9 to 37.3 on the Noometry Index. Step 3.7 Flash costs 63× less per token, which makes it the better buy when o1's lead doesn't matter for your workload.
Which is cheaper, o1 or Step 3.7 Flash?
Step 3.7 Flash is cheaper. It lists at $0.18 per million input tokens and $1.11 per million output tokens; o1 lists at $15 and $60.
Is o1 or Step 3.7 Flash better for coding?
o1 scores higher on coding benchmarks: 46.1 versus 40.0 in the Noometry coding category.
Which has the bigger context window?
Step 3.7 Flash does, with 256K tokens against 200K.
How many benchmarks do o1 and Step 3.7 Flash share?
0 benchmarks have published results for both models. o1 has 52 scored results on Noometry and Step 3.7 Flash has 5.