GLM 5.1 vs Qwen3.7 Max
Pricing, context window and real answers (August 2026)
GLM 5.1 (Z.ai) and Qwen3.7 Max (Qwen), compared as you can actually call them on FastMetal. Both are served from the same OpenAI-compatible endpoint and API key; switching is a change to the model string.
Specs and pricing
| Provider | Z.ai | Qwen |
|---|---|---|
| Input (per 1M tokens) | ¥250.18 | ¥263.58 |
| Output (per 1M tokens) | ¥786.28 | ¥790.75 |
| Typical cost (1,000 in + 500 out tokens × 1,000 calls) | ¥643 | ¥659 |
| Context window | 204,800 tokens | 1,000,000 tokens |
| Release date | 4/7/2026 | 5/21/2026 |
| Input modalities | text | text |
| Arena · overall | #41 · ELO 1,466 | #27 · ELO 1,474 |
| Arena · Japanese | #49 · ELO 1,430 | Unranked |
| Arena · coding | #36 · ELO 1,514 | #18 · ELO 1,525 |
Prices are FastMetal's yen rates before tax. Arena ranks are as of the latest leaderboard scrape.
Which should you pick?
- On price, GLM 5.1: ¥786.28 per 1M output tokens, 1% less than Qwen3.7 Max.
- On the Overall arena board, Qwen3.7 Max ranks higher (#27; GLM 5.1 is #41).
- On the Coding arena board, Qwen3.7 Max ranks higher (#18; GLM 5.1 is #36).
- For long documents, Qwen3.7 Max: a 1,000,000-token context window against 204,800 for GLM 5.1.
- If in doubt, try both on the same key. Switching is a change to the model string, and each is billed at its own rate.
Real answers to the same prompts
Exactly what the FastMetal gateway returned, side by side. Not benchmark scores: actual output.
Count the number of 'r's in 'strawberry'
Count the number of 'r's in 'strawberry'. Explain your reasoning step by step.
GLM 5.1
Qwen3.7 Max
Debug This Error
I'm getting the following error in my Node.js application: TypeError: Cannot read properties of undefined (reading 'map') at UserList (/app/components/UserList.js:12:25) at renderWithHooks (/app/node_modules/rea…
GLM 5.1
Qwen3.7 Max
Code Review
Please review the following Python function and suggest improvements for readability, performance, and best practices: def get_data(url, retries=3): import requests import time for i in range(retries):…
GLM 5.1
Qwen3.7 Max
Frequently asked questions
- Which is cheaper, GLM 5.1 or Qwen3.7 Max?
- Per 1M output tokens, GLM 5.1 is ¥786.28 and Qwen3.7 Max is ¥790.75 on FastMetal (yen, before tax), so GLM 5.1 is cheaper.
- How do the context windows of GLM 5.1 and Qwen3.7 Max compare?
- GLM 5.1 takes 204,800 tokens; Qwen3.7 Max takes 1,000,000.
- Which ranks higher, GLM 5.1 or Qwen3.7 Max?
- Qwen3.7 Max ranks higher on the public arena (GLM 5.1 #49, Qwen3.7 Max #27). Ranks move as the leaderboard updates.
- Can I use GLM 5.1 and Qwen3.7 Max with the same API key?
- Yes. On FastMetal's OpenAI-compatible endpoint, switch by passing "glm-5.1" or "qwen3.7-max" as the model. Each is billed at its own rate from the same prepaid balance.
Try both on one API key
Create an account and add credit to call GLM 5.1 and Qwen3.7 Max from the browser chat and the API. No monthly fee.