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MiniMax

Open-weight multimodal models built for long agent runs.

MiniMax publishes open weights for its M-series models, which are aimed at long-horizon agentic work and coding. The current M3 takes text, images and video with a million-token context, and the older M2 models are still around and cheaper. A solid middle option: more capable than the tiny Flash models, far cheaper than a frontier API, and you can host it yourself if you need to.

At a glance — MiniMax M1

Cost
$0.40 in · $2.20 out per 1M tokensBudget
Memory
1M tokens — about 1,500 pages
Reads
Text
Can do
  • Use tools (agents)
  • Structured output (not supported)
  • Thinking mode
Reliability
100.00% uptime, last 24h
Released
Jun 17, 2025
Advanced details
API model ID
minimax/minimax-m1
Max output
40K tokens
Knowledge cutoff
2024-06-30
Tokenizer
Other

Providers

The same model, hosted by different companies. OpenRouter picks one per request and falls back to the next if it fails.

ProviderInput /1MOutput /1MCached /1MMax outputUptime 24h
Minimax$0.40$2.20—40K99.95%
Novita · bf16$0.55$2.20—40K100.00%

Supported parameters

  • frequency_penalty
  • include_reasoning
  • max_tokens
  • presence_penalty
  • reasoning
  • repetition_penalty
  • seed
  • stop
  • temperature
  • tool_choice
  • tools
  • top_k
  • top_p

Live from OpenRouter, refreshed hourly.

Key info

Pricing
Open source
Category
Models
Best for
Expert
Made by
MiniMax
Weights
Open
Good for
Agentic work over a long context

More in Models

  • France's frontier lab, with the small models everyone self-hosts.

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  • Meta's current line, built for long multi-agent runs.

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  • The open-weight family everyone else gets benchmarked against.

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  • Google's open models — Gemini's research, small enough to self-host.

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