LLM Pricing
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o3-mini-2025-01-31

Azure · chat model

Input
$1.2100 / 1M tokens
Output
$4.8400 / 1M tokens
Cached input
$0.6050 / 1M tokens
Context
100.0K

Pricing

Item Raw value (per token) Normalized
Input 0.00000121 $1.2100 / 1M tokens
Output 0.00000484 $4.8400 / 1M tokens
Cached input 6.05e-7 $0.6050 / 1M tokens
Embedding 0.00000121 $1.2100 / 1M tokens
Batch input 6.05e-7 $0.6050 / 1M tokens
Batch output 0.00000242 $2.4200 / 1M tokens

Token limits

Context window
100.0K
Max input tokens
200.0K
Max output tokens
100.0K
Max tokens
100.0K

Capabilities

Capability Supported
Vision No
Function calling No
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).

Model Provider Input Output Context Coding Features
o1-mini-2024-09-12 Azure $1.2100 / 1M tokens $4.8400 / 1M tokens 65.5K N/A Tools Cache
o3-mini-2025-01-31 Azure $1.2100 / 1M tokens $4.8400 / 1M tokens 100.0K N/A Cache Reasoning
o1-mini Azure $1.2100 / 1M tokens $4.8400 / 1M tokens 65.5K N/A Tools Cache Reasoning
o1-mini-2024-09-12 Azure $1.2100 / 1M tokens $4.8400 / 1M tokens 65.5K N/A Tools Cache
o4-mini-2025-04-16 Azure $1.2100 / 1M tokens $4.8400 / 1M tokens 100.0K N/A Vision Tools Cache Reasoning
glm-5-code zai $1.2000 / 1M tokens $5.0000 / 1M tokens N/A N/A Tools Cache Reasoning

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "cache_read_input_token_cost": 6.05e-7,
  "input_cost_per_token": 0.00000121,
  "input_cost_per_token_batches": 6.05e-7,
  "litellm_provider": "azure",
  "max_input_tokens": 200000,
  "max_output_tokens": 100000,
  "max_tokens": 100000,
  "mode": "chat",
  "output_cost_per_token": 0.00000484,
  "output_cost_per_token_batches": 0.00000242,
  "supports_prompt_caching": true,
  "supports_reasoning": true,
  "supports_tool_choice": true,
  "supports_vision": false
}