GLM-5.2 vs Qwen3.7-Max
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
|
Zby Z.AI
2 providers:
Together $1.40/$4.40
Z.AI $1.40/$4.40
|
Qwen3.7-Max Intro price
Aby Alibaba
2 providers:
Alibaba $2.50/$7.50
Together $1.25/$3.75
|
|
|---|---|---|
| Overview | ||
| Status | Current flagship Open weights | Current flagship |
| Released | Jun 13, 2026 | May 20, 2026 |
| Pricing per million tokens | ||
| Input | $1.40/Mtok | $2.50/Mtok |
| Output | $4.40/Mtok | $7.50/Mtok |
| Blended avg | $2.90/Mtok | $5.00/Mtok |
| Cached input | $0.260/Mtok | $0.250/Mtok |
| Specifications | ||
| Context window | 1M tokens | 1M tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
text
|
| Benchmarks sources: Vellum LLM Leaderboard / Artificial Analysis, Alibaba, Qwen model card | ||
| GPQA Diamond | 91.2 | 68 |
| SWE-Bench Verified | 45 | 45 |
| Humanity's Last Exam | 54.7 | 25 |
| ARC-AGI 2 | 30 | 28 |
| AIME 2025 | 70 | 70 |
| MMMLU | 80 | 80 |
| BFCL | 70 | 68 |
| HumanEval | 84 | 84 |
| MATH 500 | 76 | 76 |
| Avg benchmark score | 76 | — |
| Perf / dollar | 26.2 | — |
| Terminal-Bench 2.1 | 81 | — |
| MCP Atlas | 77 | — |
| AIME 2026 | 99.2 | — |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | 51.1 | 46 |
| AA Agentic Index | 43.1 | 30.6 |
| AA-Omniscience Index (−100–100) | 4 | 14.1 |
| GDPval-AA v2 | 1510.3 ELO | 1271.3 ELO |
| LMSYS Chatbot Arena | 1469.2 ELO | — |
| Providers | ||
| Available from |
Together — $1.40/$4.40/Mtok
Z.AI — $1.40/$4.40/Mtok
|
Alibaba — $2.50/$7.50/Mtok
Together — $1.25/$3.75/Mtok
|
Cost at scale — 1M tokens (50/50 input/output)
| Volume | GLM-5.2 | Qwen3.7-Max | Savings |
|---|---|---|---|
| 1M tokens | $2.9 | $5 | $2.1 (42%) |
| 10M tokens | $29 | $50 | $21 (42%) |
| 100M tokens | $290 | $500 | $210 (42%) |
| 1000M tokens | $2900 | $5000 | $2100 (42%) |
Summary
GLM-5.2 by Z.AI costs $1.40/Mtok input and $4.40/Mtok output, with a 1M-token context window. It supports text input and is available from 2 providers.
Qwen3.7-Max by Alibaba costs $2.50/Mtok input and $7.50/Mtok output, with a 1M-token context window. It supports text input and is available from 2 providers.
On a blended cost basis, GLM-5.2 is 42% cheaper than Qwen3.7-Max.
The two aren't directly comparable on average benchmark score: GLM-5.2 has published per-benchmark results, while Qwen3.7-Max does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.