Model comparison 2026

GLM 4.6 vs Qwen3.7 Plus

GLM 4.6
Z.AI · Balanced · Open weights
$0.95/1M · 205K ctx
Qwen3.7 Plus
Alibaba (Qwen) · Balanced · Proprietary
$0.61/1M · 1M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

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 Money

How much capability you get per dollar

Reliability

Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
GLM 4.6
Qwen3.7 Plus
Maker
Z.AI
Alibaba (Qwen)
Blended price / 1M
$0.95
$0.61
Input / output
$0.50 in · $2.00 out / 1M tokens
$0.32 in · $1.28 out / 1M tokens
Context window
205K
1M
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
4.8
5.7
Agentic Ability
4.6
4.7
Speed
5.5
6.4
Value for Money
5.9
6.3
Reliability
8.4
8.4

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

Verdict: GLM 4.6 or Qwen3.7 Plus?

Updated 2026-10-17

Choose GLM 4.6 if you want short-context coding tasks on a tight budget. Choose Qwen3.7 Plus if you want simple, long-context calls on a budget.

In our editorial scoring, Qwen3.7 Plus leads in 4 of five dimensions (output quality, agentic ability, speed and value for money), while GLM 4.6 leads in 0. On price, GLM 4.6 runs about $0.95 per 1M tokens (blended) and is open-weight; Qwen3.7 Plus is about $0.61 and proprietary.

Where GLM 4.6 falls short
  • 202K context, smaller than 19.7% of the coding-agent requests we measured
  • Superseded by the GLM 5 line; GLM 5.3 scores far higher
Full GLM 4.6 breakdown →
Where Qwen3.7 Plus falls short
  • Weak on long agentic tasks (1.0% in Artificial Analysis's Terminal-Bench 4.0 run)
  • About 55 output tokens/s, per Artificial Analysis
Full Qwen3.7 Plus breakdown →

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