# Step 3.7 Flash Usage, Cost & Rank | OpenCode Data

> Step 3.7 Flash costs $0.18 per 1M input tokens and $1.11 per 1M output tokens.

Newer StepFun flash model for faster agents, coding, and multimodal prompts

- Page: https://opencode.ai/data/stepfun/step-3-7-flash
- JSON: https://opencode.ai/data/stepfun/step-3-7-flash.json
- Model ID: stepfun/step-3.7-flash
- Lab: StepFun

## Model facts

| Fact | Value |
| --- | --- |
| Context window | 256K |
| Max output | 256K |
| Knowledge cutoff | 2026-03-01 |
| Release date | 2026-05-29 |
| Input modalities | text, image, video |
| Output modalities | text |
| Reasoning | Yes |
| Tool calling | Yes |
| Open weights | Yes |
| Weights | [Hugging Face](https://huggingface.co/stepfun-ai/Step-3.7-Flash) |

## Pricing: USD per 1M tokens

| Input | Output | Cached input | Cache write |
| --- | --- | --- | --- |
| $0.18 | $1.11 | $0.04 | - |

## Benchmarks

| Benchmark | Score | Metric | Source |
| --- | --- | --- | --- |
| SWE-Bench Pro | 56.3 | resolve rate | https://static.stepfun.com/blog/step-3.7-flash/ |
| SWE-Bench Verified | 76.5 | resolved | https://static.stepfun.com/blog/step-3.7-flash/ |
| Terminal-Bench | 59.6 | success rate | https://static.stepfun.com/blog/step-3.7-flash/ |
| Humanity's Last Exam | 47.2 | accuracy | https://static.stepfun.com/blog/step-3.7-flash/ |
| BrowseComp | 75.8 | accuracy | https://static.stepfun.com/blog/step-3.7-flash/ |
| Toolathlon | 49.5 | success rate | https://static.stepfun.com/blog/step-3.7-flash/ |
| GDPval | 45.8 | wins or ties | https://static.stepfun.com/blog/step-3.7-flash/ |
| ClawEval | 67.1 | pass^3 | https://static.stepfun.com/blog/step-3.7-flash/ |
| Artificial Analysis Coding Index | 37.1 | index | https://openrouter.ai/stepfun/step-3.7-flash/benchmarks |
| SciCode | 40 | percent correct | https://openrouter.ai/stepfun/step-3.7-flash/benchmarks |
| Terminal-Bench Hard | 35.6 | success rate | https://openrouter.ai/stepfun/step-3.7-flash/benchmarks |

## Methodology

- Updates: Aggregated every hour. Days and weeks use UTC.
- Tokens: Input, output, reasoning, and cached tokens for each request.
- Users and sessions: Approximate counts of distinct users and OpenCode sessions.
- Cost: Session cost is the average cost per OpenCode session. Token prices are list prices from the OpenCode model catalog.
- Retention: The share of a model's users in one week who use it again the next week.
- Citation: Cite OpenCode Data (opencode.ai/data) with the update time shown at the top of the page.