minimax
MiniMax: MiniMax M1
minimax/minimax-m1
MiniMax-M1 is a large-scale, open-weight reasoning model designed for extended context and high-efficiency inference. It leverages a hybrid Mixture-of-Experts (MoE) architecture paired with a custom "lightning attention" mechanism, allowing it...
Prices updated: 7/28/2026
Input
110
credits / 1M tokens
Output
440
credits / 1M tokens
Context
1000k
tokens
Messages per $1 USD
≈ 300
typical message: 1k tokens in + 500 out
Prices in credits per million tokens. 1 credit = $0.01 USD. Final price, billed in MXN at the exchange rate on payment day + VAT (CFDI). Subject to change without notice.
Spec sheet
- Inputs
- text
- Outputs
- text
- Max output tokens
- 40,000
- Knowledge cutoff
- 2024-06-30
- Tokenizer
- Other
Capabilities
Text / LLM
Tools
Reasoning
Use it in your code
One OpenAI-compatible endpoint. Switch models by changing one line.
curl https://api.deployalo.com/ai/gateway/v1/chat/completions \
-H "Authorization: Bearer $DEPLOYALO_AI_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"minimax/minimax-m1","messages":[{"role":"user","content":"Hola"}]}'More models from minimax
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minimax/minimax-m2
Input 51Output 204
MiniMax: MiniMax M2-her
minimax/minimax-m2-her
Input 60Output 240
MiniMax: MiniMax M2.1
minimax/minimax-m2.1
Input 60Output 240
MiniMax: MiniMax M2.5
minimax/minimax-m2.5
Input 30Output 180
MiniMax: MiniMax M2.7
minimax/minimax-m2.7
Input 50Output 200
MiniMax: MiniMax M3
minimax/minimax-m3
Input 60Output 240
MiniMax: MiniMax-01
minimax/minimax-01
Input 40Output 220
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