Standard Compute
Model Comparison 2026

GLM 5.2 vs Qwen3.7 Max

GLM 5.2
Z.AI · Frontier · Open weights
$1.26/1M · 1.0M ctx
Qwen3.7 Max
Alibaba (Qwen) · Frontier · Proprietary
$2.36/1M · 1M ctx

Community Vote

Pick a winner in each dimension — change your vote anytime.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for $
How much capability you get per dollar
Reliability
Consistent results — fewer refusals, loops, and format breaks

Specs & Pricing, Side by Side

Spec
GLM 5.2
Qwen3.7 Max
Maker
Z.AI
Alibaba (Qwen)
Blended price / 1M
$1.26
$2.36
Input / output
$0.77 in · $2.42 out / 1M tokens
$1.48 in · $4.42 out / 1M tokens
Context window
1.0M
1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.0
9.0
Agentic Ability
9.2
9.2
Speed
7.6
7.6
Value for $
8.8
8.8
Reliability
8.7
8.6

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: GLM 5.2 or Qwen3.7 Max?

Updated 2026-08-02

Choose GLM 5.2 if you want open-weight coding agents that want a long context. Choose Qwen3.7 Max if you want capable frontier-class output at a friendlier price.

In our editorial scoring, GLM 5.2 leads in 1 of five dimensions (reliability), while Qwen3.7 Max leads in 0. On price, GLM 5.2 runs about $1.26 per 1M tokens (blended) and is open-weight; Qwen3.7 Max is about $2.36 and proprietary.

Where GLM 5.2 falls short
  • Just behind the closed flagships on hard tasks
  • Hosted throughput varies
Full GLM 5.2 breakdown →
Where Qwen3.7 Max falls short
  • Max tier is hosted, not open weights
  • Ecosystem smaller in the West
Full Qwen3.7 Max breakdown →

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