LLM Pricing
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mimo-v2.5-pro

OpenRouter · chat model

Input
$1.0000 / 1M tokens
Output
$3.0000 / 1M tokens
Cached input
$0.2000 / 1M tokens
Context
16.4K

Pricing

Item Raw value (per token) Normalized
Input 0.000001 $1.0000 / 1M tokens
Output 0.000003 $3.0000 / 1M tokens
Cached input 2e-7 $0.2000 / 1M tokens
Embedding 0.000001 $1.0000 / 1M tokens

Token limits

Context window
16.4K
Max input tokens
1.0M
Max output tokens
16.4K
Max tokens
16.4K

Capabilities

Capability Supported
Vision No
Function calling Yes
Parallel function calling No
Tool choice Yes
Prompt caching Yes
Reasoning Yes
Response schema Yes
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).

Model Provider Input Output Context Coding Features
mistral-small azure_ai $1.0000 / 1M tokens $3.0000 / 1M tokens 8.2K N/A Tools
DeepSeek-R1-0528-Turbo deepinfra $1.0000 / 1M tokens $3.0000 / 1M tokens 32.8K N/A Tools
DeepSeek-R1-Turbo deepinfra $1.0000 / 1M tokens $3.0000 / 1M tokens 41.0K N/A Tools
kimi-k2-instruct-0905 Groq $1.0000 / 1M tokens $3.0000 / 1M tokens 16.4K N/A Tools
mistral.mistral-small-2402-v1:0 Bedrock $1.0000 / 1M tokens $3.0000 / 1M tokens 8.2K N/A Tools
codestral-2405 Mistral $1.0000 / 1M tokens $3.0000 / 1M tokens 8.2K N/A

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "input_cost_per_token": 0.000001,
  "output_cost_per_token": 0.000003,
  "cache_creation_input_token_cost": 0,
  "cache_read_input_token_cost": 2e-7,
  "litellm_provider": "openrouter",
  "max_input_tokens": 1048576,
  "max_output_tokens": 16384,
  "max_tokens": 16384,
  "mode": "chat",
  "supports_function_calling": true,
  "supports_tool_choice": true,
  "supports_reasoning": true,
  "supports_vision": false,
  "supports_response_schema": true,
  "supports_prompt_caching": true
}