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Model catalogue
MiniMax

MiniMax

MiniMax M1

minimax/minimax-m1

JSON

Specification

Published by the vendor; the platform bills at the target's declared price.

MiniMax

MiniMax M1

reasoning tools

MiniMax 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...

Input $/1M
$0.55
Output $/1M
$2.20
Context
1M
Max output
40K
Released
Jun 17, 2025
Modalities
text

On this deployment

No routing target resolves to this model yet. Declare one and the router picks it up without retraining.

Not routable here yet
Add a target with metadata.model set to this id.
targets.yamlyaml
# targets.yaml - declare a target that runs MiniMax M1
targets:
  - id: minimax-m1
    kind: llm
    name: MiniMax M1
    metadata:
      model: minimax/minimax-m1          # links the target to this catalogue entry
    capabilities:
      domains: [general]
      supports_tools: true
      context_window: 1000000
    cost:
      usd_per_1k_tokens: 0.001375

Price among MiniMax models

Input list price per million tokens; MiniMax M1 is the most expensive of 11 listed.

  1. 1
    MiniMax M3 (free)
    free
  2. 2
    MiniMax M2.7 (free)
    free
  3. 3
    MiniMax-01
    $0.20
  4. 4
    MiniMax M2
    $0.26
  5. 5
    MiniMax M2.5
    $0.27
  6. 6
    MiniMax M3
    $0.30
  7. 7
    MiniMax M3 (batch)
    $0.30
  8. 8
    MiniMax M2.7
    $0.30
  9. 9
    MiniMax M2-her
    $0.30
  10. 10
    MiniMax M2.1
    $0.30
  11. 11
    MiniMax M1
    $0.55

More from MiniMax

Other models by the same vendor in the catalogue.