# GPT-6.1 Sol vs Step 3.7 Flash

> Step 3.7 Flash has enough public results to be ranked (#207); GPT-6.1 Sol does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/gpt-6-1-sol-vs-step-3-7-flash
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 39.4.
- Step 3.7 Flash is cheaper at $0.18 / $1.11 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
- GPT-6.1 Sol accepts more context: 1.05M tokens versus 256K.
- Step 3.7 Flash has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-6.1 Sol | Step 3.7 Flash |
|---|---|---|
| Provider | OpenAI | StepFun |
| Noometry Index | 42.1 | 36.5 |
| Rank | — | 207 |
| Context | 1.05M | 256K |
| Input $/M | $2 | $0.18 |
| Output $/M | $10 | $1.11 |
| Weights | Proprietary | Open |

## Coding

- GPT-6.1 Sol: 51.4
- Step 3.7 Flash: 39.4 (#147)

| Benchmark | GPT-6.1 Sol | Step 3.7 Flash |
|---|---|---|
| DeepSWE | 75.2% | — |
| SciCode | — | 40% |
| ALE-Bench | — | 694.12 |

## Agentic & Tool Use

- GPT-6.1 Sol: 34.3
- Step 3.7 Flash: —

| Benchmark | GPT-6.1 Sol | Step 3.7 Flash |
|---|---|---|
| GDP.pdf | 32% | — |

## Reasoning

- GPT-6.1 Sol: —
- Step 3.7 Flash: 20.9 (#211)

| Benchmark | GPT-6.1 Sol | Step 3.7 Flash |
|---|---|---|
| NYT Connections (extended) | — | 39.7% |
| CritPt | — | 2.3% |

## Math

- GPT-6.1 Sol: —
- Step 3.7 Flash: 40.9 (#74)

| Benchmark | GPT-6.1 Sol | Step 3.7 Flash |
|---|---|---|
| MathArena Final-Answer Competitions | — | 68.5% |

## FAQ

### Is GPT-6.1 Sol better than Step 3.7 Flash?

Step 3.7 Flash has enough public results to be ranked (#207); GPT-6.1 Sol does not yet, so treat this comparison as directional.

### Which is cheaper, GPT-6.1 Sol 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-6.1 Sol lists at $2 and $10.

### Is GPT-6.1 Sol or Step 3.7 Flash better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 39.4 in the Noometry coding category.

### Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 256K.

### How many benchmarks do GPT-6.1 Sol and Step 3.7 Flash share?

0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and Step 3.7 Flash has 5.