LLM Pricing
← All models

qwen3-next-80b-a3b-thinking-maas

vertex_ai-qwen_models · chat model

Input
$0.1500 / 1M tokens
Output
$1.2000 / 1M tokens
Cached input
N/A
Context
262.1K

Pricing

Item Raw value (per token) Normalized
Input 1.5e-7 $0.1500 / 1M tokens
Output 0.0000012 $1.2000 / 1M tokens
Embedding 1.5e-7 $0.1500 / 1M tokens

Token limits

Context window
262.1K
Max input tokens
262.1K
Max output tokens
262.1K
Max tokens
262.1K

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
qwen3-next-80b-a3b-instruct dashscope $0.1500 / 1M tokens $1.2000 / 1M tokens 65.5K N/A Tools
qwen3-next-80b-a3b-thinking dashscope $0.1500 / 1M tokens $1.2000 / 1M tokens 65.5K N/A Tools Reasoning
qwen.qwen3-next-80b-a3b bedrock_converse $0.1500 / 1M tokens $1.2000 / 1M tokens 8.2K N/A Tools
qwen3-next-80b-a3b-instruct-maas vertex_ai-qwen_models $0.1500 / 1M tokens $1.2000 / 1M tokens 262.1K N/A Tools
gpt-5.4-nano azure_ai $0.2000 / 1M tokens $1.2500 / 1M tokens 128.0K N/A Vision Tools Cache Reasoning
gpt-5.4-nano-2026-03-17 azure_ai $0.2000 / 1M tokens $1.2500 / 1M tokens 128.0K N/A Vision Tools Cache Reasoning

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "input_cost_per_token": 1.5e-7,
  "litellm_provider": "vertex_ai-qwen_models",
  "max_input_tokens": 262144,
  "max_output_tokens": 262144,
  "max_tokens": 262144,
  "mode": "chat",
  "output_cost_per_token": 0.0000012,
  "source": "https://cloud.google.com/vertex-ai/generative-ai/pricing",
  "supported_regions": [
    "global"
  ],
  "supports_function_calling": true,
  "supports_tool_choice": true
}