LLM Pricing
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minimax-m2

OpenRouter · chat model

Input
$0.2550 / 1M tokens
Output
$1.0200 / 1M tokens
Cached input
N/A
Context
204.8K

Pricing

Item Raw value (per token) Normalized
Input 2.55e-7 $0.2550 / 1M tokens
Output 0.00000102 $1.0200 / 1M tokens
Embedding 2.55e-7 $0.2550 / 1M tokens

Token limits

Context window
204.8K
Max input tokens
204.8K
Max output tokens
204.8K
Max tokens
204.8K

Capabilities

Capability Supported
Vision No
Function calling Yes
Parallel function calling No
Tool choice Yes
Prompt caching Yes
Reasoning Yes
Response schema No
System messages No
Audio input No
Audio output No
Web search No
PDF input No
Video input No

Similar models

Models with comparable pricing in the same mode (chat).

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mercury-coder-small vercel_ai_gateway $0.2500 / 1M tokens $1.0000 / 1M tokens 16.4K N/A
qwen3-235b-a22b-instruct-2507-maas vertex_ai-qwen_models $0.2500 / 1M tokens $1.0000 / 1M tokens 16.4K N/A Tools
DeepSeek-V3.1 deepinfra $0.2700 / 1M tokens $1.0000 / 1M tokens 163.8K N/A Tools Reasoning
DeepSeek-V3.1-Terminus deepinfra $0.2700 / 1M tokens $1.0000 / 1M tokens 163.8K N/A Tools
deepseek-v3.1-terminus novita $0.2700 / 1M tokens $1.0000 / 1M tokens 32.8K N/A Tools Reasoning
deepseek-v3.1 novita $0.2700 / 1M tokens $1.0000 / 1M tokens 32.8K N/A Tools Reasoning

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "input_cost_per_token": 2.55e-7,
  "litellm_provider": "openrouter",
  "max_input_tokens": 204800,
  "max_output_tokens": 204800,
  "max_tokens": 204800,
  "mode": "chat",
  "output_cost_per_token": 0.00000102,
  "supports_function_calling": true,
  "supports_prompt_caching": true,
  "supports_reasoning": true,
  "supports_tool_choice": true
}