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Step 3.7 FlashOPEN
Step 3.7 Flash is StepFun's latest high-efficiency multimodal Mixture-of-Experts model.
Prices update automatically — checked daily against provider list prices.
- $0.44 per 1M tokens, assuming 3 input for 1 output the convention used by Artificial Analysis
- cheaper than 43% of the 191 open-weight models tracked here
Benchmarks & performance
Independent benchmark scores for Step 3.7 Flash, measured by Artificial Analysis. Higher is better.
For the same budget, Step 3.7 Flash delivers 11 times more capability. Open weights also mean you can self-host it and pay nothing per token.
Models at this level cost $0.72 per 1M tokens (median of 18) — this one costs $0.44.
Cheaper and better on this index: GLM 5.3 Flash · Gemini 3.7 Flash (batch) · GPT-5.6 Luna (batch) and 11 more
About this model
Step 3.7 Flash is an open-weight AI model by Stepfun. You can download and self-host it for free; the prices below are hosted-API list prices, tracked daily, for when you prefer convenience over self-hosting.
Frequently asked questions
What is Step 3.7 Flash?
Step 3.7 Flash is an AI language model from Stepfun. It is open-weight: you can download it and run it on your own hardware, for free. It scores 30.9 on the Artificial Analysis intelligence index.
Is Step 3.7 Flash free?
The weights are free and open — you can self-host Step 3.7 Flash and pay nothing per token. If you prefer a hosted API, list prices are $0.2 per million input tokens and $1.15 per million output tokens.
What is Step 3.7 Flash good at?
Independent benchmarks from Artificial Analysis give it GPQA 80.9%, Humanity's Last Exam 21.4%, Long Context Reasoning 69.7%, SciCode 40%, IFBench 67.3%, τ²-Bench 98.5%, τ-Bench Banking 12%, Terminal-Bench 39.3%, Terminal-Bench Hard 35.6%. It is particularly used for code generation.
How fast is Step 3.7 Flash?
It generates about 91.7 tokens per second, with a median 1.63s delay before the first token. Measured independently by Artificial Analysis.
Can I self-host Step 3.7 Flash?
Yes. Step 3.7 Flash has open weights, so you can download it and run it on your own GPU or server with tools like Ollama, vLLM or llama.cpp — with no per-token cost.