Qwen3.7 Max
Pricing & Specs
Qwen (Alibaba) · $1.25 input / $3.75 output per 1M tokens · 1M context window
The per-token price never tells the full story. A typical task (1K input + 500 output tokens) on Qwen3.7 Max costs about $0.0031, roughly $3.12 per 1,000 runs. But if it needs 3x the tokens of a cheaper model to match quality on YOUR task, the economics flip. The only way to know is to benchmark it on your actual workload.
Qwen3.7 Max API Pricing
| Tokens | Price |
|---|---|
| Input | $1.25 / 1M tokens |
| Output | $3.75 / 1M tokens |
| Cached input | $0.13 / 1M tokens |
50% discount available for batch API requests.
What that means in practice
Qwen3.7 Max Specs
| Spec | Value |
|---|---|
| Context window | 1M tokens |
| Input modalities | text |
| Output modalities | text |
| Reasoning model | Yes |
| Tool / function calling | Yes |
| JSON mode | Yes |
| Streaming | Yes |
| Prompt caching | Yes |
| Batch API | Yes |
FAQ
How much does Qwen3.7 Max cost?
Qwen3.7 Max costs $1.25 per 1M input tokens and $3.75 per 1M output tokens ($0.13 per 1M cached input tokens).
What is Qwen3.7 Max's context window?
Qwen3.7 Max has a 1M-token context window.
Can I test Qwen3.7 Max on my own task?
Yes. OpenMark lets you benchmark Qwen3.7 Max against 100+ models on your own task with real API calls, with no API keys needed, free tier available.
Is Qwen3.7 Max the right model for YOUR task?
Pricing tables can't answer that. Benchmark it against 100+ models
on your actual workload: real API calls, real costs. Free tier available.