GPT-4o (2024-08-06) vs Step 3.7 Flash
Step 3.7 Flash leads GPT-4o (2024-08-06) on the Artificial Analysis Intelligence Index, 19.5 to 7.7, and Step 3.7 Flash costs 8.7x less per output token ($1.15 vs $10.00 per million). Updated October 22, 2026; 7 benchmarks have a result for both.
GPT-4o (2024-08-06) or Step 3.7 Flash: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-4o (2024-08-06) for work measured by Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.
- Shared results
- 7
- GPT-4o (2024-08-06) only
- 51
- Step 3.7 Flash only
- 11
- Like-for-like categories
- 5 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Step 3.7 Flash
Step 3.7 Flash leads, 19.5 against 7.7.
Same board, both measured
Math
AIME
No call
Only GPT-4o (2024-08-06) has a AIME result, 14.0%.
Directional only
Knowledge
MMLU Pro
No call
Only GPT-4o (2024-08-06) has a MMLU Pro result, 74.1%.
Directional only
Web design
Design Arena: websites
No call
Only Step 3.7 Flash has a Design Arena: websites result, 1196.
Directional only
Long documents
Listed context window
Step 3.7 Flash
Step 3.7 Flash takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Step 3.7 Flash
GPT-4o (2024-08-06) $0.0075, Step 3.7 Flash $0.0008 per turn.
List prices
At a glance
- Coding index
- GPT-4o (2024-08-06) not benchmarked, Step 3.7 Flash not benchmarked.
- Widest category
- Agentic work, 69.6 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: GPT-4o (2024-08-06) 28.9% against Step 3.7 Flash 98.5%, 69.6 points apart on a 0 to 100 scale.
- Output price
- GPT-4o (2024-08-06) $10.00 against Step 3.7 Flash $1.15 per million output tokens, 8.7x apart.
- Context window
- GPT-4o (2024-08-06) takes 128K tokens, Step 3.7 Flash 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | GPT-4o (2024-08-06) | Bars | Step 3.7 Flash | Ties |
|---|---|---|---|---|
| Coding | 0 | 1 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| General | 0 | 2 | ||
| All shared boards | 0 | 7 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| Aider polyglot | 23.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| SWE-bench Lite | 21.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| AA Coding Index | Not measured | 39.6 | Only Step 3.7 Flash measured |
| LiveCodeBench (Artificial Analysis run) | 31.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| SciCode | Not measured | 43.9% | Only Step 3.7 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | 8.3% | 35.6% | Step 3.7 Flash |
| ALE-Bench | Not measured | 694.1 | Only Step 3.7 Flash measured |
| LMArena Text: coding | 1283 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: software and IT | 1278 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.7 | 19.5 | Step 3.7 Flash |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 28.9% | 98.5% | Step 3.7 Flash |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| MMMU Pro (Vals AI) | 64.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| GPQA Diamond (Artificial Analysis run) | 52.1% | 80.9% | Step 3.7 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 2.3% | 21.4% | Step 3.7 Flash |
| GPQA Diamond (Epoch AI run) | 49.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| SimpleBench | 17.8% | Not measured | Only GPT-4o (2024-08-06) measured |
| Chess puzzles | 6.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: hard prompts | 1264 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: expert | 1241 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: hard prompts in English | 1277 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 13 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| AIME | 14.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MATH 500 (Vals AI) | 75.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| MGSM (Vals AI) | 90.7% | Not measured | Only GPT-4o (2024-08-06) measured |
| OTIS Mock AIME | 6.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| FrontierMath, tiers 1 to 3 | 0.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| MATH level 5 | 53.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: math | 1285 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: mathematical work | 1283 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| MMLU Pro | 74.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| LegalBench (Vals AI) | 80.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| CorpFin (Vals AI) | 39.4% | Not measured | Only GPT-4o (2024-08-06) measured |
| TaxEval (Vals AI) | 71.1% | Not measured | Only GPT-4o (2024-08-06) measured |
| MortgageTax (Vals AI) | 61.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MedQA (Vals AI) | 88.2% | Not measured | Only GPT-4o (2024-08-06) measured |
| SimpleQA Verified | 26.0% | Not measured | Only GPT-4o (2024-08-06) measured |
| MMLU | 84.3% | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: science | 1274 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: medicine and healthcare | 1252 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: legal and government | 1275 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: business and finance | 1232 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1196 | Only Step 3.7 Flash measured |
| Design Arena: UI components | Not measured | 1177 | Only Step 3.7 Flash measured |
| Design Arena: game dev | Not measured | 1158 | Only Step 3.7 Flash measured |
| Design Arena: data viz | Not measured | 1173 | Only Step 3.7 Flash measured |
| Design Arena: 3D | Not measured | 1129 | Only Step 3.7 Flash measured |
| Design Arena: all code categories | Not measured | 1182 | Only Step 3.7 Flash measured |
| Design Arena: SVG | Not measured | 1084 | Only Step 3.7 Flash measured |
| Design Arena: ASCII art | Not measured | 1152 | Only Step 3.7 Flash measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| IFBench | 36.0% | 67.3% | Step 3.7 Flash |
| Long context reasoning (AA-LCR) | 41.0% | 73.7% | Step 3.7 Flash |
| LMArena Text | 1283 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: instruction following | 1267 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: creative writing | 1274 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Vision | 1065 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: English | 1297 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: non-English | 1262 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Chinese | 1254 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: German | 1257 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Japanese | 1234 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Korean | 1218 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: French | 1263 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Spanish | 1269 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: Russian | 1272 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: multi-turn | 1279 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: longer queries | 1283 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: writing and language | 1290 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Text: entertainment and media | 1267 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Vision: English | 1072 | Not measured | Only GPT-4o (2024-08-06) measured |
| LMArena Vision: Chinese | 1009 | Not measured | Only GPT-4o (2024-08-06) measured |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o (2024-08-06) | Step 3.7 Flash | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Step 3.7 Flash costs less
Repository review
50K input + 3K output tokens
Step 3.7 Flash costs less
Agent loop
200K input + 10K output tokens
Step 3.7 Flash costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | OpenAI GPT-4o (2024-08-06) | StepFun Step 3.7 Flash |
|---|---|---|
| Maker | OpenAI | StepFun |
| Weights | No public weights listed | Open weights |
| Released | August 6, 2024 | May 28, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $2.50 | $0.20 |
| Output $/Mtok | $10.00 | $1.15 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o (2024-08-06) better than Step 3.7 Flash for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-08-06) for work measured by Terminal-Bench Hard (Artificial Analysis run) or AA Intelligence Index, where it leads.
Which is cheaper, GPT-4o (2024-08-06) or Step 3.7 Flash?
GPT-4o (2024-08-06) costs $2.50 per million input tokens and $10.00 per million output tokens; Step 3.7 Flash costs $0.20 and $1.15. Cost per solved task is known for neither of them.
Which has the bigger context window, GPT-4o (2024-08-06) or Step 3.7 Flash?
Step 3.7 Flash, with 262K tokens against 128K.
How many benchmarks is the GPT-4o (2024-08-06) vs Step 3.7 Flash comparison based on?
7 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-08-06)'s coding index rests on 0 independent benchmarks and Step 3.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.