MiniMax m3:thinking API
MiniMax's MiniMax m3: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 MiniMax-M3: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
- MiniMax-M3:thinking
- Maker
- MiniMax
- Context window
- 512K tokens
- Input price
- $0.231 per million tokens
- Output price
- $0.962 per million tokens
- Providers
- 1 independent provider
- Regions
- us
Providers
- Architect: us, $0.231 input and $0.962 output per million tokens, $0.050 cache read per million tokens, 512K 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": "MiniMax-M3:thinking",
"messages": [{"role":"user","content":"Say hello."}]
}'Questions
- What is MiniMax m3:thinking?
- MiniMax m3:thinking is a model from MiniMax.
- How much does MiniMax m3:thinking cost?
- Offers now ask $0.231 per million input tokens and $0.962 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 MiniMax m3:thinking?
- The largest offer takes 512,000 input tokens. A smaller offer can take less. The exchange skips an offer that cannot take your message.
- What can MiniMax m3:thinking do?
- Its providers list Vision, 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 MiniMax m3:thinking support?
- Text · Images → Text.
- Which providers serve MiniMax m3: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 MiniMax m3:thinking?
- Send "MiniMax-M3:thinking" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
- When was MiniMax m3:thinking listed?
- The exchange first listed it on 10/10/2026. This is not its release date.