LLM Pricing
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qwen3-vl-32b-thinking

dashscope · chat model

Input
$0.1600 / 1M tokens
Output
$2.8700 / 1M tokens
Cached input
N/A
Context
32.8K

Pricing

Item Raw value (per token) Normalized
Input 1.6e-7 $0.1600 / 1M tokens
Output 0.00000287 $2.8700 / 1M tokens
Embedding 1.6e-7 $0.1600 / 1M tokens

Token limits

Context window
32.8K
Max input tokens
131.1K
Max output tokens
32.8K
Max tokens
32.8K

Capabilities

Capability Supported
Vision Yes
Function calling Yes
Parallel function calling No
Tool choice Yes
Prompt caching No
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
Qwen3-235B-A22B-Thinking-2507 deepinfra $0.3000 / 1M tokens $2.9000 / 1M tokens 262.1K N/A Tools
qwen3-235b-a22b-thinking-2507 novita $0.3000 / 1M tokens $3.0000 / 1M tokens 32.8K N/A Tools Reasoning
apac.amazon.nova-2-lite-v1:0 bedrock_converse $0.3300 / 1M tokens $2.7500 / 1M tokens 64.0K N/A Vision Tools Cache Reasoning
eu.amazon.nova-2-lite-v1:0 bedrock_converse $0.3300 / 1M tokens $2.7500 / 1M tokens 64.0K N/A Vision Tools Cache Reasoning
us.amazon.nova-2-lite-v1:0 bedrock_converse $0.3300 / 1M tokens $2.7500 / 1M tokens 64.0K N/A Vision Tools Cache Reasoning
meta.llama3-8b-instruct-v1:0 Bedrock $0.3000 / 1M tokens $2.6500 / 1M tokens 2.0K N/A

Sources

Pricing source LiteLLM model cost map
Synced at 2026-05-27
Manual review Not reviewed
Raw LiteLLM fields
{
  "input_cost_per_token": 1.6e-7,
  "litellm_provider": "dashscope",
  "max_input_tokens": 131072,
  "max_output_tokens": 32768,
  "max_tokens": 32768,
  "mode": "chat",
  "output_cost_per_token": 0.00000287,
  "source": "https://www.alibabacloud.com/help/en/model-studio/model-pricing",
  "supports_function_calling": true,
  "supports_reasoning": true,
  "supports_tool_choice": true,
  "supports_vision": true
}