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 — 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.