Analysis Summary
Step 3.7 Flash is a StepFun model with text, image, and video input, tool use, and function calling. Its coding measurement is stronger than its general intelligence result, and the supplied data shows useful long-context and tool-task performance. The 262K context window supports substantial inputs, though it is shorter than some competing long-context models.
The model can suit budget-conscious coding assistance, visual content analysis, and structured automation where outputs receive human review. Its agentic measurement is moderate rather than leading, so it is not a strong choice for complex unattended workflows. Multimodal support broadens its potential uses, but businesses should test the quality of each input type in their own tasks.
Listed pricing is low, making it practical to pilot for routine or higher-volume work. Use it where cost and modality matter, and route high-stakes reasoning to a stronger model.
Assessed September 23, 2026
Editorial notes
Step 3.7 Flash offers capable coding measurements, image and video input, tool support, and low listed pricing; its general reasoning results are more limited.
The DFO score ranks models on the Artificial Analysis Intelligence Index and is refreshed as new models launch. The write-up and verdict are our own. Feedback?
DFO Verdict
Step 3.7 Flash offers capable coding measurements, image and video input, tool support, and low listed pricing; its general reasoning results are more limited.
Benchmarks
Artificial Analysis data refreshed Oct 12, 2026. Arena ratings from the Oct 2, 2026 text leaderboard, with style control. Bars: magenta = reasoning, ink = coding and agents, cyan = instructions and long context.
How StepFun: Step 3.7 Flash compares
StepFun: Step 3.7 Flash ranks #131 of 436 AI models we track for overall intelligence, #84 of 198 for coding, #65 of 181 for agentic tasks. Its 262K-token context window is larger than 75% of the models we list. At $0.20 per million input tokens it is cheaper than 52% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $1.15 | $0.001150 |
What would StepFun: Step 3.7 Flash cost your business?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 698 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save StepFun: Step 3.7 Flash for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout StepFun: Step 3.7 Flash
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model. It pairs a 196B-parameter language backbone with a vision encoder for native image and video understanding, activating roughly 11B parameters..
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Frequently asked questions about StepFun: Step 3.7 Flash
How much does StepFun: Step 3.7 Flash cost?
StepFun: Step 3.7 Flash costs $0.20 per million input tokens and $1.15 per million output tokens.
What is the context window of StepFun: Step 3.7 Flash?
StepFun: Step 3.7 Flash has a context window of 262,144 tokens (262K).
Is StepFun: Step 3.7 Flash good for coding?
On our coding benchmark index, StepFun: Step 3.7 Flash ranks #84 of 198 models, placing it in the broader range of the field for code generation and debugging.
What can StepFun: Step 3.7 Flash do?
StepFun: Step 3.7 Flash supports image/vision input, tool use, and function calling.
Who created StepFun: Step 3.7 Flash?
StepFun: Step 3.7 Flash is developed by StepFun and was released on May 28, 2026.
Benchmarks from Artificial Analysis, pricing from the OpenRouter API, and verdicts from our own testing.
Last updated: October 12, 2026 8:38 pm