MiniMax M2.1 API

MiniMax's MiniMax M2.1, 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-M2.1 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-M2.1
Maker: MiniMax
Context window: 200K tokens
Input price: $0.300 per million tokens
Output price: $1.201 per million tokens
Providers: 1 independent provider
Regions: us

Providers

Architect: us, $0.300 input and $1.201 output per million tokens, $0.030 cache read per million tokens, 200K tokens of context

Scores

HLE: 23.2, #106 of 273
GPQA: 83.0, #89 of 250
AA-LCR: 67.7, #129 of 237
Terminal-Bench Hard: 28.8, #63 of 166
LiveCodeBench: 81.0, #18 of 130
AIME 2025: 82.7, #22 of 100
MMLU-Pro: 87.5, #3 of 133
τ²-Bench: 85.4, #51 of 169
IFBench: 69.9, #41 of 178

Scores: Artificial Analysis (https://artificialanalysis.ai/)

Request

curl https://router.inference.ai.exchange/v1/chat/completions \
  -H "Authorization: Bearer $LIQUID_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "MiniMax-M2.1",
    "messages": [{"role":"user","content":"Say hello."}]
  }'

Questions

What is MiniMax M2.1?: Served by intent-router: each job goes to the cheapest healthy upstream for this model.
How much does MiniMax M2.1 cost?: Offers now ask $0.300 per million input tokens and $1.201 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 M2.1?: 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 MiniMax M2.1 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 MiniMax M2.1 support?: Text → Text.
Which providers serve MiniMax M2.1?: 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 M2.1?: Send "MiniMax-M2.1" as the model in an OpenAI or Anthropic request. The API section links to setup steps for each client.
When was MiniMax M2.1 listed?: The exchange first listed it on 10/8/2026. This is not its release date.