M1 API
MiniMax's M1, 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 m1 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
- m1
- Maker
- MiniMax
- Context window
- 200K tokens
- Input price
- $0.400 per million tokens
- Output price
- $2.203 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Architect: us, $0.400 input and $2.203 output per million tokens, $0.400 cache read per million tokens, 200K 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": "m1",
"messages": [{"role":"user","content":"Say hello."}]
}'Questions
- What is M1?
- M1 is a model from MiniMax.
- How much does M1 cost?
- Offers now ask $0.400 per million input tokens and $2.203 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 M1?
- The largest offer takes 200,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can M1 do?
- Its providers list 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 M1 support?
- Text → Text.
- Which providers serve M1?
- 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 M1?
- Send "m1" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was M1 listed?
- The exchange first listed it on 10/10/2026. This is not its release date.