LLM Pricing
← All models

qwen3-omni-30b-a3b-instruct

novita · chat model

Input
$0.2500 / 1M tokens
Output
$0.9700 / 1M tokens
Cached input
N/A
Context
16.4K

Pricing

Item Raw value (per token) Normalized
Input 2.5e-7 $0.2500 / 1M tokens
Output 9.7e-7 $0.9700 / 1M tokens
Embedding 2.5e-7 $0.2500 / 1M tokens

Token limits

Context window
16.4K
Max input tokens
65.5K
Max output tokens
16.4K
Max tokens
16.4K

Capabilities

Capability Supported
Vision Yes
Function calling Yes
Parallel function calling Yes
Tool choice Yes
Prompt caching No
Reasoning No
Response schema Yes
System messages Yes
Audio input Yes
Audio output Yes
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
qwen3-omni-30b-a3b-thinking novita $0.2500 / 1M tokens $0.9700 / 1M tokens 16.4K N/A Vision Tools Reasoning
meta.llama4-maverick-17b-instruct-v1:0 bedrock_converse $0.2400 / 1M tokens $0.9700 / 1M tokens 4.1K N/A Tools
us.meta.llama4-maverick-17b-instruct-v1:0 bedrock_converse $0.2400 / 1M tokens $0.9700 / 1M tokens 4.1K N/A Tools
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

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "litellm_provider": "novita",
  "mode": "chat",
  "input_cost_per_token": 2.5e-7,
  "output_cost_per_token": 9.7e-7,
  "max_input_tokens": 65536,
  "max_output_tokens": 16384,
  "max_tokens": 16384,
  "supports_function_calling": true,
  "supports_parallel_function_calling": true,
  "supports_tool_choice": true,
  "supports_vision": true,
  "supports_system_messages": true,
  "supports_response_schema": true,
  "supports_audio_input": true,
  "supports_audio_output": true
}