# GPT-4.1 mini vs Step 3.7 Flash

> Step 3.7 Flash is the stronger model overall, scoring 37.3 to 33.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-4-1-mini-vs-step-3-7-flash
- Last updated: 2026-10-11
- Shared benchmarks: 2

## Summary

- They share 2 benchmarks with published results for both. GPT-4.1 mini 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 42.9 to 24.1.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 256K.
- Step 3.7 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| Provider | OpenAI | StepFun |
| Noometry Index | 33.6 | 37.3 |
| Rank | 240 | 207 |
| Context | 1.05M | 256K |
| Input $/M | $0.40 | $0.18 |
| Output $/M | $1.60 | $1.11 |
| Weights | Proprietary | Open |

## Coding

- GPT-4.1 mini: 30.6 (#293)
- Step 3.7 Flash: 40.0 (#150)

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| SciCode | 40.4% | 40% |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | 1367 | — |
| CadEval | 16% | — |
| ALE-Bench | — | 694.12 |

## Agentic & Tool Use

- GPT-4.1 mini: 33.3 (#55)
- Step 3.7 Flash: —

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |

## Reasoning

- GPT-4.1 mini: 10.8 (#340)
- Step 3.7 Flash: 21.6 (#219)

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| CritPt | 0% | 2.3% |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| NYT Connections (extended) | — | 39.7% |
| ARC-AGI-1 | 3.5% | — |
| Chess Puzzles | 7% | — |
| LMArena Hard Prompts | 1349 | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |

## Math

- GPT-4.1 mini: 24.1 (#270)
- Step 3.7 Flash: 42.9 (#82)

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | — |
| MathArena Final-Answer Competitions | — | 68.5% |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |

## Knowledge

- GPT-4.1 mini: 34.7 (#194)
- Step 3.7 Flash: —

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |

## Multimodal

- GPT-4.1 mini: 35.8 (#82)
- Step 3.7 Flash: —

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| LMArena Vision | 1181 | — |

## Multilingual

- GPT-4.1 mini: 45.7 (#166)
- Step 3.7 Flash: —

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena Chinese | 1329 | — |
| LMArena French | 1358 | — |
| LMArena German | 1351 | — |
| LMArena Japanese | 1290 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |

## Instruction Following

- GPT-4.1 mini: 73.7 (#118)
- Step 3.7 Flash: —

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1333 | — |

## Long Context

- GPT-4.1 mini: 31.8 (#275)
- Step 3.7 Flash: —

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |

## Writing & Preference

- GPT-4.1 mini: 48.6 (#199)
- Step 3.7 Flash: —

| Benchmark | GPT-4.1 mini | Step 3.7 Flash |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1300 | — |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1354 | — |

## FAQ

### Is GPT-4.1 mini better than Step 3.7 Flash?

Step 3.7 Flash is the stronger model overall, scoring 37.3 to 33.6 on the Noometry Index.

### Which is cheaper, GPT-4.1 mini 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; GPT-4.1 mini lists at $0.40 and $1.60.

### Is GPT-4.1 mini or Step 3.7 Flash better for coding?

Step 3.7 Flash scores higher on coding benchmarks: 40.0 versus 30.6 in the Noometry coding category.

### Which has the bigger context window?

GPT-4.1 mini does, with 1.05M tokens against 256K.

### How many benchmarks do GPT-4.1 mini and Step 3.7 Flash share?

2 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Step 3.7 Flash has 5.