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[ MODEL COMPARISON ]

Compare qwen3-max with other models

Select another model to compare pricing, limits, and capabilities with qwen3-max.

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Models
OpenRouter logoqwen3-max
openrouter
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Context Length
262K
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Max Output
33K
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Input Cost
$0.78/M
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Output Cost
$3.90/M
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Mode
Chat
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Max Input Tokens
262K
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Max Tokens
33K
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Provider
OpenRouter
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Tool Choice
Yes
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Response Schema
Yes
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Prompt Caching
Yes
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Comparison Insights

Comprehensive analysis based on the latest model metadata from the comparison table above.

What should I know about qwen3-max?

Overview

  • qwen3-max is a chat model provided by OpenRouter.
  • With a context window of 262K tokens, this model can handle substantial inputs such as detailed documents or extended conversation histories.

Pricing

  • Input processing costs $0.78 per million tokens.
  • Output generation costs $3.90 per million tokens.

Output Capabilities

  • The model can generate up to 33K tokens in a single response.
What capabilities does qwen3-max support?
  • Supports function calling, enabling integration with external tools and APIs for extended functionality.
  • Allows explicit tool selection, giving developers fine-grained control over function execution.
  • Supports structured response schemas for consistent, predictable output formatting.
  • Implements prompt caching to reduce costs and latency for repeated or similar queries.

qwen3-max Pricing Overview

At $0.78 per 1M input tokens and $3.90 per 1M output tokens, qwen3-max ranks 1290 out of 2185 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 41% of models in this category.