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MiniMax: MiniMax M3 Thinking

minimax-m3:thinking

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MiniMax M3 Thinking is the adaptive-thinking version of MiniMax's open-weights frontier model for coding, agent workflows, tool use, long-context tasks, and native multimodal understanding. MiniMax reports 59.0% on SWE-Bench Pro and 66.0% on Terminal Bench 2.1, with Sparse Attention designed to scale context to 1M.

Modalities

Text + Image → Text

Input / output price

$0.353 / $1.39 per 1M

Context

512K · max output 80K

Capabilities

ReasoningVisionTool callingLong contextOpen weights

Pricing

Billed per token actually used and deducted from your credits.

ItemUSD per 1M tokens
Input$0.353
Output$1.39
Cached input$0.0707

Calculator

Drag the sliders to estimate what this model will cost.

Per request
$0.00217
Per day
$1.09
Per month (30 days)
$32.56

MiniMax M3 Thinking: input $0.3535/M · output $1.3879/M · cached input $0.0707/M

Request with these settings
curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "minimax-m3:thinking", "max_tokens": 800,
       "messages": [{"role": "user", "content": "…"}]}'

Code samples

OpenAI-compatible. Set the base URL to https://api.geniusrelaygpt.com/v1 and the model to minimax-m3:thinking.

curl https://api.geniusrelaygpt.com/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "minimax-m3:thinking",
    "stream": true,
    "messages": [{"role": "user", "content": "Hello"}]
  }'

Use it in a client: Cursor · Cline · SillyTavern · Codex

Parameters

Common OpenAI parameters can be passed as-is.

temperaturetop_pmax_tokensstreamstoppresence_penaltyfrequency_penaltyseed

FAQ

How is MiniMax M3 Thinking billed?
Input is $0.353 and output is $1.39 per million tokens; cached input is $0.0707. The charge for every request is listed in Usage Logs in the console.
How long is the context window?
512K tokens. In a long conversation every turn is billed for the full input, so keep the history under control.
Does it support streaming?
Yes. Add "stream": true to the request to receive server-sent events in the OpenAI format.