Qwen3.7 Max

Alibaba's flagship (API-only on DashScope, no open weights), released May 21, 2026; 1M context. Pricing corrected to $1.25/$3.75 per 1M (cached input ~$0.25).

Qwen3.7 Max strengths

• 1M context
• Strong multilingual and coding
• Deep cache discount
• Competitive frontier quality

Pricing & context

Cost guide: a typical call of about 10K input + 2K output tokens costs roughly $0.020 at list prices. Worth modelling against cheaper tiers before committing high-volume traffic.

When to choose Qwen3.7 Max

Qwen3.7 Max is best for long-context agentic workloads, multilingual apps, and Asia-Pacific deployments. If your workload is more cost-sensitive, weigh it against gpt-oss-120b (≈$0.03 input /1M) first.

Qwen3.7 Max FAQ

How much does Qwen3.7 Max cost?

Qwen3.7 Max is priced at $1.25 per 1M input tokens and $3.75 per 1M output tokens (public API list price), with a 1M tokens (64K max output) context window. A typical call of about 10K input and 2K output tokens costs roughly $0.020.

What is Qwen3.7 Max best for?

Qwen3.7 Max by Alibaba is best for long-context agentic workloads, multilingual apps, and Asia-Pacific deployments.

How does Qwen3.7 Max pricing compare to Gemini 3.6 Flash?

Qwen3.7 Max input costs $1.25 per 1M tokens versus $1.50 for Gemini 3.6 Flash, roughly 1.2x less expensive on input. Output is $3.75 vs $7.50.

Is Qwen3.7 Max multimodal?

Qwen3.7 Max supports text, image.