LLM Pricing
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qwen3-8b

llamagate · chat model

Input
$0.0400 / 1M tokens
Output
$0.1400 / 1M tokens
Cached input
N/A
Context
8.2K

Pricing

Item Raw value (per token) Normalized
Input 4e-8 $0.0400 / 1M tokens
Output 1.4e-7 $0.1400 / 1M tokens
Embedding 4e-8 $0.0400 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
32.8K
Max output tokens
8.2K
Max tokens
8.2K

Capabilities

Capability Supported
Vision No
Function calling Yes
Parallel function calling No
Tool choice No
Prompt caching No
Reasoning No
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
amazon.nova-micro-v1:0 bedrock_converse $0.0350 / 1M tokens $0.1400 / 1M tokens 10.0K N/A Tools Cache
nova-micro-v1 amazon_nova $0.0350 / 1M tokens $0.1400 / 1M tokens 10.0K N/A Tools Cache
us.amazon.nova-micro-v1:0 bedrock_converse $0.0350 / 1M tokens $0.1400 / 1M tokens 10.0K N/A Tools Cache
nova-micro vercel_ai_gateway $0.0350 / 1M tokens $0.1400 / 1M tokens 8.2K N/A Tools
autoglm-phone-9b-multilingual novita $0.0350 / 1M tokens $0.1380 / 1M tokens 65.5K N/A Vision
qwen3-8b-fp8 novita $0.0350 / 1M tokens $0.1380 / 1M tokens 20.0K N/A Reasoning

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "max_tokens": 8192,
  "max_input_tokens": 32768,
  "max_output_tokens": 8192,
  "input_cost_per_token": 4e-8,
  "output_cost_per_token": 1.4e-7,
  "litellm_provider": "llamagate",
  "mode": "chat",
  "supports_function_calling": true,
  "supports_response_schema": true
}