GLM-5.2 vs Qwen3.7-Max
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Z.AI
3 providers:
Fireworks $1.40/$4.40
Together $1.40/$4.40
Z.AI $1.40/$4.40
|
Qwen3.7-MaxIntro price
by Alibaba
2 providers:
Alibaba $2.50/$7.50
Together $1.25/$3.75
|
|---|---|---|
| Overview | ||
| Status | Current flagship Open weights | Current flagship |
| Released | ||
| Pricing per million tokens | ||
| Input | $1.40/Mtok | $2.50/Mtok |
| Output | $4.40/Mtok | $7.50/Mtok |
| Blended avg | $2.15/Mtok | $3.75/Mtok |
| Cached input | $0.260/Mtok | $0.250/Mtok |
| Price basis | — | On a 50% launch promo to $1.25 in / $3.75 out per 1M (list price tracked). |
| 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 vendor |
| SWE-Bench Verified | 45 vendor | 45 vendor |
| Humanity's Last Exam | 54.7 | 25 vendor |
| ARC-AGI 2 | 30 vendor | 28 vendor |
| AIME 2025 | 70 vendor | 70 vendor |
| MMMLU | 80 vendor | 80 vendor |
| BFCL | 70 vendor | 68 vendor |
| HumanEval | 84 vendor | 84 vendor |
| MATH 500 | 76 vendor | 76 vendor |
| Avg benchmark score | 76 | — |
| Perf / dollar | 35.3 | — |
| 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 | 42.1 | 36.6 |
| AA Agentic Index | 39.7 | 23.9 |
| AA-Omniscience Index (−100–100) | 4.4 | 13.5 |
| GDPval-AA v2 | 1505.2 ELO | 1271.8 ELO |
| LMSYS Chatbot Arena | 1469.4 ELO | — |
| Providers | ||
| Available from |
Fireworks — $1.40/$4.40/Mtok
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 | $2.15 | $3.75 | $1.6 (42.7%) |
| 10M tokens | $21.5 | $37.5 | $16 (42.7%) |
| 100M tokens | $215 | $375 | $160 (42.7%) |
| 1000M tokens | $2150 | $3750 | $1600 (42.7%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $2.15/Mtok blended vs $3.75 — 42.7% less on the same 50/50 token mix
- you want open weights — self-host it, fine-tune it, or exit the API entirely; Qwen3.7-Max is closed
- provider flexibility: available from 3 providers, so you can price-shop hosts or fail over
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.250/Mtok — 90% off its list input price
The cheaper option here — GLM-5.2 costs $2.15/Mtok blended on Z.AI.
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 3 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 42.7% 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.