Model detail
qwen3.7-max
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks, and long-horizon autonomous execution. The model offers notable gains in coding and agentic performance over prior Qwen generations and supports explicit prompt caching for efficient repeated context use.
Model specs
- Model ID
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qwen3.7-max
- Context length
- 1M
- Max output
- 131.072K
- I/O modalities
- Released
- 2026-05
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Pricing
Flat rate, unit: /1M Tokens
Input
$2.5000 /1M Tokens
Completion
$7.5000 /1M Tokens
Cache read
$0.2500 /1M Tokens
Cache creation
$3.1250 /1M Tokens
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Flagship model in Alibaba's Qwen3.7 series
Qwen3.7-Max is the flagship model in Alibaba's Qwen3.7 series. It supports text input and output and is designed for agent-centric workloads, with particular strengths in coding, office and productivity tasks.
What should you check before using it?
1,000,000 context, 131,072 output tokens
Alibaba model that supports reasoning, tool calling and structured output. Released 2026-05-21.
Why use it through MixRoute?
qwen3.7-max cache reads cut repeated-prompt cost
Cached prefixes are billed at $0.2500 per 1M tokens instead of $2.5000 per 1M tokens for standard input, so repeated system prompts cost less. MixRoute serves qwen3.7-max on the OpenAI-compatible endpoint /v1/chat/completions; point your existing client at https://api.mixroute.ai/v1 with the model ID qwen3.7-max and re-run your integration tests.
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Capabilities & compatibility
Unconfirmed capabilities stay "Unknown," no guesses
Tool calling
qwen3.7-max supports function and tool calls.
tools definition; the response returns tool_calls to execute and feed results back.
Structured output
qwen3.7-max can produce JSON-formatted output on demand.
response_format: { type: "json_schema" } forces valid JSON output.
Streaming
qwen3.7-max supports streamed responses.
stream: true streams tokens incrementally, so chat UIs render as they arrive.
Prompt caching
qwen3.7-max supports prompt caching under supported routing conditions.
OpenAI SDK
Call qwen3.7-max through MixRoute's OpenAI-compatible endpoint.
base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
qwen3.7-max is billed per use and the record publishes no free-tier allowance. The current published rates are input $2.5000 per 1M tokens and output $7.5000 per 1M tokens. Trial credit or promotional quota is tied to your account rather than to the model, so check the console before planning around a free tier.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.