Step 3.7 Flash:thinking API
StepFun's Step 3.7 Flash:thinking, through an OpenAI-compatible API. Providers quote it on an open exchange, and each request goes to the offer with the lowest estimated charge that meets your rules.
- Providers compete for each request. The exchange ranks the offers that meet your rules by estimated charge. It fixes your maximum charge before the first token, and you pay for the tokens that the model uses.
- The OpenAI and Anthropic APIs. Use the OpenAI or Anthropic SDK that you have. Set the base URL and your key, and send step-3.7-flash:thinking as the model.
- Your data rules. Send x-liquid-retention: none and only offers whose provider does not keep your content compete for the request.
Facts
- Model name
- step-3.7-flash:thinking
- Maker
- StepFun
- Context window
- 262.1K tokens
- Input price
- $0.200 per million tokens
- Output price
- $1.151 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Architect: us, $0.200 input and $1.151 output per million tokens, $0.040 cache read per million tokens, 262.1K tokens of context
Request
curl https://router.inference.ai.exchange/v1/chat/completions \
-H "Authorization: Bearer $LIQUID_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "step-3.7-flash:thinking",
"messages": [{"role":"user","content":"Say hello."}]
}'Questions
- What is Step 3.7 Flash:thinking?
- Step 3.7 Flash:thinking is a model from StepFun.
- How much does Step 3.7 Flash:thinking cost?
- Offers now ask $0.200 per million input tokens and $1.151 per million output tokens. A job pays for the tokens it uses. The exchange picks the cheapest eligible offer.
- What is the context length of Step 3.7 Flash:thinking?
- The largest offer takes 262,144 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can Step 3.7 Flash:thinking do?
- Its providers list Vision, Video input, Reasoning effort, JSON object, JSON schema, Frequency penalty, Logit bias, Log probabilities, Min-p sampling, Presence penalty, Repetition penalty, Seed, Stop sequences, Top-k sampling, Top-p sampling, Text, Tools.
- What inputs and outputs does Step 3.7 Flash:thinking support?
- Text · Images · Video → Text.
- Which providers serve Step 3.7 Flash:thinking?
- 1 independent provider quote it now, with 1 offer. The table above ranks them by the cost of a typical job.
- How do I call Step 3.7 Flash:thinking?
- Send "step-3.7-flash:thinking" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was Step 3.7 Flash:thinking listed?
- The exchange first listed it on 10/10/2026. This is not its release date.