AllocateMiniMax M3
APIMiniMax M3 is a language model from MiniMaxAI with a 512K-token context window. Provider list price is $0.30 per million input tokens and $1.20 per million output; on Allocate you pay $0.32 and $1.28 with the 7% transaction fee. It is a closed model served over API; the weights are not published.
Pricing
Token usage bills at the provider list price plus the 7% transaction fee. Prices checked 2026-07-08.
Price against its peers
Provider list prices per M tokens, MiniMax M3 against its nearest language peers by price.
What a real workload costs
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each: 1,200M input and 350M output tokens. At list prices that is 1,200 × $0.30 + 350 × $1.20 = $780 a month. Billed on Allocate it is $834.60 with the 7% transaction fee.
MiniMax M3 is served over API. Route traffic to it by name, meter every token, and swap it out in one click when a better fit ships.
Example usage
Point a route at minimaxai/minimax-m3 and the endpoint never changes; swap the model behind it whenever you want.
curl https://api.allocate.network/v1/chat/completions \ -H "Authorization: Bearer $ALLOCATE_KEY" \ -d '{ "model": "minimaxai/minimax-m3", "messages": [{"role": "user", "content": "Summarise the attached contract."}] }'
Common questions
How much does MiniMax M3 cost per million tokens?
Provider list price is $0.30 per million input tokens and $1.20 per million output tokens. On Allocate you pay list plus the 7% transaction fee: $0.32 in and $1.28 out.
What context window does MiniMax M3 have?
524,288 tokens (512K). At roughly 0.75 words per token, that is about 393k words of English text per request.
What does cached input cost on MiniMax M3?
$0.06 per million tokens at list ($0.064 billed). Repeated prompt prefixes, such as a stable system prompt or tool definitions, bill at this rate instead of the full input price.
Can I fine-tune MiniMax M3?
No. MiniMax M3 is a closed model served over API; the weights are not published. If you want a model you can train and own, start from an open-weights base in the catalog and fine-tune that.
How do I call MiniMax M3 on Allocate?
Send minimaxai/minimax-m3 in the model field of the OpenAI-compatible endpoint at api.allocate.network/v1, or point a route name (like prod/support-agent) at it so you can swap the model later without a deploy.