# GPT-5 Nano vs Step 3.7 Flash

> Step 3.7 Flash is the stronger model overall, scoring 36.5 to 33.4 on the Noometry Index. GPT-5 Nano costs 3.0× less per token, which makes it the better buy when Step 3.7 Flash's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-5-nano-vs-step-3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 1

## Summary

- They share 1 benchmark with published results for both. GPT-5 Nano scores higher in 0 categories and Step 3.7 Flash in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Step 3.7 Flash leads 40.9 to 29.1.
- GPT-5 Nano is cheaper at $0.05 / $0.40 per million input/output tokens, against $0.18 / $1.11 for Step 3.7 Flash.
- GPT-5 Nano accepts more context: 400K tokens versus 256K.
- Step 3.7 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| Provider | OpenAI | StepFun |
| Noometry Index | 33.4 | 36.5 |
| Rank | 234 | 207 |
| Context | 400K | 256K |
| Input $/M | $0.05 | $0.18 |
| Output $/M | $0.40 | $1.11 |
| Weights | Proprietary | Open |

## Coding

- GPT-5 Nano: 33.3 (#248)
- Step 3.7 Flash: 39.4 (#147)

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| ALE-Bench | 718.67 | 694.12 |
| SWE-bench Verified (bash only) | 34.8% | — |
| SciCode | — | 40% |
| WeirdML | 38.1% | — |
| LMArena Coding | 1351 | — |

## Agentic & Tool Use

- GPT-5 Nano: 25.6 (#99)
- Step 3.7 Flash: —

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |

## Reasoning

- GPT-5 Nano: 16.4 (#291)
- Step 3.7 Flash: 20.9 (#211)

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| NYT Connections (extended) | — | 39.7% |
| ARC-AGI-1 | 20.7% | — |
| CritPt | — | 2.3% |
| Chess Puzzles | 27% | — |
| LMArena Hard Prompts | 1329 | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| Epoch Capabilities Index | 139.39 | — |
| ForecastBench | 59.1 | — |

## Math

- GPT-5 Nano: 29.1 (#221)
- Step 3.7 Flash: 40.9 (#74)

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 81.1% | — |
| ProofBench | 12% | — |
| Omni-MATH | 54.6% | — |
| LMArena Math | 1318 | — |
| MATH Level 5 | 95.2% | — |
| FrontierMath (Feb 2025 set) | 8.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |

## Knowledge

- GPT-5 Nano: 35.8 (#166)
- Step 3.7 Flash: —

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 69.4% | — |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
| LMArena Expert | 1321 | — |

## Multimodal

- GPT-5 Nano: 30.7 (#102)
- Step 3.7 Flash: —

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1159 | — |
| VPCT | 37.2% | — |

## Multilingual

- GPT-5 Nano: 45.5 (#167)
- Step 3.7 Flash: —

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1355 | — |
| LMArena German | 1329 | — |
| LMArena Korean | 1269 | — |
| LMArena Russian | 1296 | — |
| LMArena Spanish | 1360 | — |

## Instruction Following

- GPT-5 Nano: 75.2 (#72)
- Step 3.7 Flash: —

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| IFEval | 93.2% | — |
| LMArena Instruction Following | 1306 | — |

## Long Context

- GPT-5 Nano: 31.3 (#275)
- Step 3.7 Flash: —

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1313 | — |

## Writing & Preference

- GPT-5 Nano: 39.4 (#244)
- Step 3.7 Flash: —

| Benchmark | GPT-5 Nano | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1320 | — |
| LMArena Creative Writing | 1250 | — |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
| LMArena Multi-Turn | 1311 | — |

## FAQ

### Is GPT-5 Nano better than Step 3.7 Flash?

Step 3.7 Flash is the stronger model overall, scoring 36.5 to 33.4 on the Noometry Index. GPT-5 Nano costs 3.0× less per token, which makes it the better buy when Step 3.7 Flash's lead doesn't matter for your workload.

### Which is cheaper, GPT-5 Nano or Step 3.7 Flash?

GPT-5 Nano is cheaper. It lists at $0.05 per million input tokens and $0.40 per million output tokens; Step 3.7 Flash lists at $0.18 and $1.11.

### Is GPT-5 Nano or Step 3.7 Flash better for coding?

Step 3.7 Flash scores higher on coding benchmarks: 39.4 versus 33.3 in the Noometry coding category.

### Which has the bigger context window?

GPT-5 Nano does, with 400K tokens against 256K.

### How many benchmarks do GPT-5 Nano and Step 3.7 Flash share?

1 benchmark has published results for both models. GPT-5 Nano has 48 scored results on Noometry and Step 3.7 Flash has 5.