LLM Pricing
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Qwen3-30B-A3B

deepinfra · chat model

Input
$0.0800 / 1M tokens
Output
$0.2900 / 1M tokens
Cached input
N/A
Context
41.0K

Pricing

Item Raw value (per token) Normalized
Input 8e-8 $0.0800 / 1M tokens
Output 2.9e-7 $0.2900 / 1M tokens
Embedding 8e-8 $0.0800 / 1M tokens

Token limits

Context window
41.0K
Max input tokens
41.0K
Max output tokens
41.0K
Max tokens
41.0K

Capabilities

Capability Supported
Vision No
Function calling Yes
Parallel function calling No
Tool choice Yes
Prompt caching No
Reasoning No
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
google.gemma-3-12b-it bedrock_converse $0.0900 / 1M tokens $0.2900 / 1M tokens 8.2K N/A Vision
Llama-4-Scout-17B-16E-Instruct nscale $0.0900 / 1M tokens $0.2900 / 1M tokens N/A N/A
Llama-4-Scout-17B-16E-Instruct deepinfra $0.0800 / 1M tokens $0.3000 / 1M tokens 327.7K N/A Tools
Phi-4-mini-instruct azure_ai $0.0750 / 1M tokens $0.3000 / 1M tokens 4.1K N/A Tools
gemini-2.0-flash-lite vertex_ai-language-models $0.0750 / 1M tokens $0.3000 / 1M tokens N/A N/A Vision Tools Cache
gemini-2.0-flash-lite-001 vertex_ai-language-models $0.0750 / 1M tokens $0.3000 / 1M tokens N/A N/A Vision Tools Cache

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "max_tokens": 40960,
  "max_input_tokens": 40960,
  "max_output_tokens": 40960,
  "input_cost_per_token": 8e-8,
  "output_cost_per_token": 2.9e-7,
  "litellm_provider": "deepinfra",
  "mode": "chat",
  "supports_tool_choice": true,
  "supports_function_calling": true
}