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Compare qwen3.7-plus:batch with other models
Select another model to compare pricing, limits, and capabilities with qwen3.7-plus:batch.
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Models
qwen3.7-plus:batchopenrouter
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Context Length
262K
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Max Output
131K
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Input Cost
$0.23/M
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Output Cost
$0.92/M
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Mode
Chat
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Max Input Tokens
262K
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Max Tokens
131K
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Provider
OpenRouter
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Tool Choice
Yes
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Response Schema
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 qwen3.7-plus:batch?
Overview
- qwen3.7-plus:batch 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 $0.23 per million tokens.
- Output generation costs $0.92 per million tokens.
Output Capabilities
- The model can generate up to 131K tokens in a single response.
What capabilities does qwen3.7-plus:batch support?
- Supports function calling, enabling integration with external tools and APIs for extended functionality.
- Includes vision capabilities to process and analyze images alongside text inputs.
- Features advanced reasoning capabilities for complex problem-solving and multi-step logical tasks.
- Allows explicit tool selection, giving developers fine-grained control over function execution.
- Supports structured response schemas for consistent, predictable output formatting.
qwen3.7-plus:batch Pricing Overview
At $0.23 per 1M input tokens and $0.92 per 1M output tokens, qwen3.7-plus:batch ranks 1286 out of 4042 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 68% of models in this category.