Model comparison
o3 vs Step 3.7 Flash
o3 is the stronger model overall, scoring 47.5 to 37.3 on the Noometry Index. Step 3.7 Flash costs 8.4× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
StepFunSummary
- They share 2 benchmarks with published results for both. o3 scores higher in 3 categories and Step 3.7 Flash in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where o3 leads 32.0 to 21.6.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $2 / $8 for o3.
- 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
| o3 | Step 3.7 Flash | |
|---|---|---|
| Provider | OpenAI | StepFun |
| Noometry Index | 47.5 | 37.3 |
| Released | 2025-04-16 | 2026-05-29 |
| Weights | Proprietary | Open |
| Context window | 200K | 256K |
| Max output | 100K | 256K |
| Input $ / M tokens | $2 | $0.18 |
| Output $ / M tokens | $8 | $1.11 |
| Results tracked | 63 | 5 |
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Category by category
Coding o3 leads
o3: 46.8 (#64), Step 3.7 Flash: 40.0 (#150)
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| ALE-Bench | 933.55 | 694.12 |
| SWE-bench Verified | 62.3% | — |
| SWE-bench Verified (bash only) | 58.4% | — |
| Aider Polyglot | 81.3% | — |
| SciCode | — | 40% |
| GSO | 8.8% | — |
| WeirdML | 52.4% | — |
| LMArena Coding | 1408 | — |
| CadEval | 74% | — |
Agentic & Tool Use Not comparable
o3: 34.5 (#44), Step 3.7 Flash: —
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 63% | — |
| GDPval | 30.8% | — |
| DeepResearch Bench | 45.2% | — |
| OSWorld | 23% | — |
| LMArena Search | 1144 | — |
| METR Time Horizons | 65.4% | — |
Reasoning o3 leads
o3: 32.0 (#78), Step 3.7 Flash: 21.6 (#219)
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| CritPt | 1.4% | 2.3% |
| ARC-AGI-2 | 6.5% | — |
| SimpleBench | 53.1% | — |
| Kagi LLM Benchmark | 67.6% | — |
| NYT Connections (extended) | — | 39.7% |
| ARC-AGI-1 | 60.8% | — |
| Chess Puzzles | 38% | — |
| EnigmaEval | 13.1% | — |
| LMArena Hard Prompts | 1402 | — |
| Mystery Game Puzzles | 29% | — |
| DTBench | 84.8% | — |
| LMCA | 39.7% | — |
| Epoch Capabilities Index | 146.86 | — |
| ForecastBench | 62.5 | — |
Math o3 leads
o3: 50.2 (#58), Step 3.7 Flash: 42.9 (#82)
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 33.3% | — |
| MathArena Final-Answer Competitions | — | 68.5% |
| 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
o3: 54.6 (#52), Step 3.7 Flash: —
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| 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 | 1402 | — |
Multimodal Not comparable
o3: 41.4 (#36), Step 3.7 Flash: —
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1214 | — |
| GeoBench | 74% | — |
| VPCT | 52% | — |
Multilingual Not comparable
o3: 51.7 (#105), Step 3.7 Flash: —
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1401 | — |
| LMArena Chinese | 1437 | — |
| LMArena French | 1430 | — |
| LMArena German | 1420 | — |
| LMArena Japanese | 1403 | — |
| LMArena Korean | 1370 | — |
| LMArena Russian | 1406 | — |
| LMArena Spanish | 1395 | — |
Instruction Following Not comparable
o3: 72.8 (#127), Step 3.7 Flash: —
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| IFEval | 86.9% | — |
| LMArena Instruction Following | 1368 | — |
Long Context Not comparable
o3: 53.3 (#6), Step 3.7 Flash: —
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| Fiction.LiveBench | 88.9% | — |
| CL-bench | 17.8% | — |
| LMArena Longer Query | 1372 | — |
Writing & Preference Not comparable
o3: 63.5 (#64), Step 3.7 Flash: —
| Benchmark | o3 | Step 3.7 Flash |
|---|---|---|
| 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 o3 better than Step 3.7 Flash?
o3 is the stronger model overall, scoring 47.5 to 37.3 on the Noometry Index. Step 3.7 Flash costs 8.4× less per token, which makes it the better buy when o3's lead doesn't matter for your workload.
Which is cheaper, o3 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; o3 lists at $2 and $8.
Is o3 or Step 3.7 Flash better for coding?
o3 scores higher on coding benchmarks: 46.8 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 o3 and Step 3.7 Flash share?
2 benchmarks have published results for both models. o3 has 63 scored results on Noometry and Step 3.7 Flash has 5.