LLM Pricing
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qwen3.5-flash-02-23

OpenRouter · chat model

Input
$0.1000 / 1M tokens
Output
$0.4000 / 1M tokens
Cached input
N/A
Context
65.5K

Pricing

Item Raw value (per token) Normalized
Input 1e-7 $0.1000 / 1M tokens
Output 4e-7 $0.4000 / 1M tokens
Embedding 1e-7 $0.1000 / 1M tokens

Token limits

Context window
65.5K
Max input tokens
1.0M
Max output tokens
65.5K
Max tokens
65.5K

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
gpt-4.1-nano Azure $0.1000 / 1M tokens $0.4000 / 1M tokens 32.8K N/A Vision Tools Cache
gpt-4.1-nano-2025-04-14 Azure $0.1000 / 1M tokens $0.4000 / 1M tokens 32.8K N/A Vision Tools Cache
gemini-2.0-flash-001 deepinfra $0.1000 / 1M tokens $0.4000 / 1M tokens 1.0M N/A Tools
Llama-3.3-Nemotron-Super-49B-v1.5 deepinfra $0.1000 / 1M tokens $0.4000 / 1M tokens 131.1K N/A Tools
gemini-2.0-flash vertex_ai-language-models $0.1000 / 1M tokens $0.4000 / 1M tokens 8.2K N/A Vision Tools Cache
gemini-2.5-flash-lite vertex_ai-language-models $0.1000 / 1M tokens $0.4000 / 1M tokens 65.5K 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": 1e-7,
  "litellm_provider": "openrouter",
  "max_input_tokens": 1000000,
  "max_output_tokens": 65536,
  "max_tokens": 65536,
  "mode": "chat",
  "output_cost_per_token": 4e-7,
  "source": "https://openrouter.ai/qwen/qwen3.5-flash-02-23",
  "supports_function_calling": true,
  "supports_reasoning": true,
  "supports_tool_choice": true,
  "supports_vision": true
}