Analysis Summary
Step 3.7 Flash stands out for agentic task completion, scoring well above its coding and general reasoning levels, and comes with tool use, function calling, and vision support across a 256K context window. Its instruction-following and long-context handling are both competent.
This makes it a fit for automation-heavy workflows and multi-step task execution where reliability matters more than raw reasoning depth. It is less suited to complex analytical or creative writing tasks where deeper reasoning is required.
At $0.2 input and $1.15 output per million tokens, it's a cost-efficient pick for teams building agent pipelines rather than premium client-facing content.
Assessed July 19, 2026
Editorial notes
Step 3.7 Flash from StepFun pairs strong agentic reliability with solid coding and tool use at low pricing, though general reasoning trails higher-tier models.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Step 3.7 Flash from StepFun pairs strong agentic reliability with solid coding and tool use at low pricing, though general reasoning trails higher-tier models.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
30.3 Intelligence IndexĀ·39.6 Coding IndexĀ·67.1 Agentic Index
How StepFun: Step 3.7 Flash compares
StepFun: Step 3.7 Flash ranks #91 of 393 AI models we track for overall intelligence, #58 of 157 for coding, #26 of 300 for agentic tasks. Its 256K-token context window is larger than 68% of the models we list. At $0.20 per million input tokens it is cheaper than 55% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| 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?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā 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 256,000 tokens (256K).
Is StepFun: Step 3.7 Flash good for coding?
On our coding benchmark index, StepFun: Step 3.7 Flash ranks #58 of 157 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.
Data sourced from the OpenRouter API, Artificial Analysis, the Hugging Face Open LLM Leaderboard and our own internal testing. Scores are editorially curated by our team.
Last updated: July 19, 2026 10:00 am