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Qwen3.7 Max Released 2026-05-21

Alibaba chat code reasoning tools long-context
Input$2.5/M
Output$7.5/M
Cache read$0.5/M
Context1M
vs GPT-4o~50% cheaper

Provider list prices: no platform markup, pay-as-you-go. These are official list prices. Logged-in customers may see effective prices including workspace discounts on /console/pricing. Effective input at a 70% cache-hit rate:$1.1/M. Implicit context cache is automatic; an explicit cache_control mode offers deeper discounts (1,024-token minimum blocks, 5-minute TTL that resets on hit). Per-model cached-read prices are in the pricing table.

Use Qwen3.7 Max in 30 seconds

OpenAI-compatible: swap the base_url, keep your SDK. POST /v1/chat/completions

from openai import OpenAI

client = OpenAI(
    base_url="https://synthorai.io/v1",
    api_key="sk-syn-...",
)

resp = client.chat.completions.create(
    model="qwen3.7-max",
    messages=[{"role": "user", "content": "Summarize this diff"}],
    reasoning_effort="medium",
)
print(resp.choices[0].message.content)

About Qwen3.7 Max

1M context, double the previous preview limit
Long-horizon execution spanning thousands of steps
Most advanced and comprehensive agent model yet

Qwen3.7 Max is the flagship of the Qwen team's "Agent Frontier" generation, described by Alibaba as its most advanced and comprehensive agent model to date.

  • It brings a 1M-token context window, double the previous generation's preview limit, and is built for long-horizon autonomous execution spanning hundreds or even thousands of steps, including coding and debugging and office workflow automation.
  • It focuses on text input with deep reasoning and tool invocation.
  • Synthorai puts Qwen3.7 Max behind its OpenAI-compatible API for seamless adoption.

Specs & limits

Max output (vendor spec)65,536
Modalitiestext → text
Featurestools · streaming · batch · reasoning · parallel_tool_calls · caching
Notable"Agent Frontier" flagship: text-only, thinking on by default, 1M-token context; built for long-horizon autonomous agent runs (officially demonstrated 35-hour session with 1,158 tool calls); not listed for JSON mode.
Prompt cachingautomatic + explicit · TTL explicit: 5m, reset on hit

per Alibaba official docs ↗

FAQ

Is the Qwen3.7 Max API free to try?

Yes: new accounts get 10 trial calls and up to $1 in free credit, no card required. At $2.5/M input tokens, that credit alone covers roughly 49 requests of ~8K tokens against Qwen3.7 Max.

What is Qwen3.7 Max best at?

1M context, double the previous preview limit, plus long-horizon execution spanning thousands of steps and most advanced and comprehensive agent model yet. See the About section for the full picture from the vendor's own release notes.

How much does Qwen3.7 Max cost?

Qwen3.7 Max costs $2.5 per million input tokens and $7.5 per million output tokens on Synthorai. That is the provider's list price, with no platform markup. Cached input tokens bill at $0.5/M.

Does Qwen3.7 Max support prompt caching?

Yes: automatic caching is on by default, with an explicit mode for guaranteed savings. Cached input tokens bill at $0.5/M vs $2.5/M uncached (TTL explicit: 5m, reset on hit). Prompt caching guide →

How do I get access to Qwen3.7 Max?

Point your existing OpenAI SDK at base_url="https://synthorai.io/v1", set model="qwen3.7-max", and you're done. One API key covers every model on the gateway.

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