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AlibabaReleased May 19, 2026

Qwen3.7 Max

Alibaba · Released May 19, 2026

Intelligence score

46

At a glance

Intelligence
46
Speed
206.4tokens/sec
Latency
2.57stime to first token
Input price
$2.50per 1M tokens
Output price
$7.50per 1M tokens
Context window
3.7Mtokens
Parameters
—

Summary

Comparison summary

Qwen3.7 Max scores 46 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 28). Qwen3.7 Max generates output at 206.4 tokens per second (based on Alibaba's API), which is well above average compared to other reasoning models in a similar price tier (median: 81.2 t/s). Qwen3.7 Max costs $2.50 per 1M input tokens (somewhat higher than average, median: $1.50) and $7.50 per 1M output tokens (better than average, median: $8.40), based on Alibaba's API.

Specifications

Technical specifications

Model nameQwen3.7 Max
ProviderAlibaba
Release dateMay 19, 2026
Intelligence score46
Speed206.4 tokens/sec
Latency (TTFT)2.57s
Input price$2.50 / 1M tokens
Output price$7.50 / 1M tokens
Context window3,700,000 tokens
Parameters—
ReasoningYes
Input modalitiestext
Output modalities—
Open weightsNo
License—
API availability—
SourceModel Intelligence legacy profile: qwen3-7-max

Pricing

Token prices

Price per 1M tokens

Qwen3.7 Max, as listed in the catalog record

Input $2.50 and output $7.50 per 1M tokens. Missing prices are hatched and marked "Not published".
  1. Input$2.50
  2. Output$7.50

Model Intelligence legacy profile: qwen3-7-max

FAQ · 19

Frequently asked questions

Qwen3.7 Max was released on May 19, 2026.

Qwen3.7 Max was created by Alibaba.

Qwen3.7 Max scores 46 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 28).

Qwen3.7 Max generates output at 206.4 tokens per second (based on Alibaba's API), which is well above average compared to other reasoning models in a similar price tier (median: 81.2 t/s).

Qwen3.7 Max has a time to first token (TTFT) of 2.57s (based on Alibaba's API), which is better than average compared to other reasoning models in a similar price tier (median: 2.78s).

Qwen3.7 Max costs $2.50 per 1M input tokens (somewhat higher than average, median: $1.50) and $7.50 per 1M output tokens (better than average, median: $8.40), based on Alibaba's API.

Qwen3.7 Max costs $2.50 per 1M input tokens and $7.50 per 1M output tokens (based on Alibaba's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $1.43 per 1M tokens. Pricing may vary by provider.

When evaluated on the Intelligence Index, Qwen3.7 Max generated 100M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 72M).

Yes, Qwen3.7 Max is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer.

Qwen3.7 Max supports text input.

Qwen3.7 Max supports text output.

No, Qwen3.7 Max does not support image input. It can only process text.

No, Qwen3.7 Max is not multimodal. It only supports text input.

Qwen3.7 Max has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request.

No, Qwen3.7 Max is proprietary. The model weights are not publicly available.

Qwen3.7 Max is a proprietary model and Alibaba has not disclosed the model size or parameter count.

Qwen3.7 Max achieves a score of 46 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding.

Yes, Qwen3.7 Max is available via API through 3 providers.

Qwen3.7 Max is available through 3 API providers.