z-ai
Qwen3.7 Max vs GLM 5.2
73.2 overall · $0.998 / 1M
// qwen
Qwen3.7 Max
qwen/qwen3.7-max
reasoningtool callingprompt caching
Qwen3.7 Max costs $1.48 per 1M input tokens and $4.42 per 1M output tokens with a 1M-token context window.
A reasoning, tool-calling model from qwen, released May 21, 2026. On LiveBench it scores 73.1 overall — #37 of 55 benchmarked models — and ranks highest in instruction following (#11).
- Input / 1M
- $1.48
- Output / 1M
- $4.42
- Context
- 1M
- LiveBench overall
- 73.1 · #37
Specs and pricing
| Input price USD per 1M prompt tokens | $1.48 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $4.42 |
| Blended price 3:1 input:output — #85 most expensive of 343 listed models | $2.21 |
| Cached input read Blank means not priced separately — not free | $0.295 |
| Cache write | $1.84 |
| Context window | 1,000,000 tokens |
| Max output | 131,072 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | May 21, 2026 |
Benchmarks by category
LiveBench scores out of 100, with Qwen3.7 Max's rank among the 55 benchmarked models listed here. Run: qwen3.7-max.
Language#28 of 55
79.7
$0.0231 measured per point
What Qwen3.7 Max costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $623.04/mo |
| RAG assistant 8K in / 600 out × 100K requests | $973.50/mo |
| Coding agent 40K in / 4K out × 20K requests | $873.20/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $1,748/mo |
| Bulk classification 500 in / 20 out × 5M requests | $3,540/mo |
Compare Qwen3.7 Max with
The benchmarked models closest to it on overall score.
anthropic
Qwen3.7 Max vs Claude Sonnet 4.6
73.0 overall · $6.00 / 1M
openai
Qwen3.7 Max vs GPT-5.6 Luna
73.6 overall · $0.450 / 1M
Qwen3.7 Max vs Gemini 3.6 Flash
73.6 overall · $1.50 / 1M
anthropic
Qwen3.7 Max vs Claude Opus 4.5
72.6 overall · $10.00 / 1M
openai
Qwen3.7 Max vs GPT-5.2-Codex
74.0 overall · $4.81 / 1M
Qwen3.7 Max FAQ
How much does Qwen3.7 Max cost?
Qwen3.7 Max lists at $1.48 per 1M input tokens and $4.42 per 1M output tokens, with cached input reads at $0.295 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $973.50 at list price.
What is the context window of Qwen3.7 Max?
Qwen3.7 Max accepts up to 1,000,000 tokens of context and can return up to 131,072 output tokens per response.
Does Qwen3.7 Max support tool calling?
Yes — Qwen3.7 Max supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does Qwen3.7 Max score on benchmarks?
On LiveBench release 2026-06-25 (run: qwen3.7-max), Qwen3.7 Max scores 73.1 overall, ranking #37 of 55 benchmarked models.
What is the API model ID for Qwen3.7 Max?
On OpenRouter the model ID is "qwen/qwen3.7-max". It was listed on May 21, 2026.
More from qwen
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.