Standard Compute
Model comparison 2026

GLM 4.6 vs Grok 4.7

GLM 4.6
Z.AI · Balanced · Open weights
$0.95/1M · 205K ctx
Grok 4.7
xAI · Balanced · Proprietary
$3.20/1M · 500K 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
Grok 4.7
Maker
Z.AI
xAI
Blended price / 1M
$0.95
$3.20
Input / output
$0.50 in · $2.00 out / 1M tokens
$2.00 in · $6.00 out / 1M tokens
Context window
205K
500K
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.8
9.2
Agentic Ability
7.9
9.0
Speed
8.0
7.8
Value for money
8.8
8.7
Reliability
8.4
8.6

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

Verdict: GLM 4.6 or Grok 4.7?

Updated 2026-10-13

Choose GLM 4.6 if you want the value pick for open-weight coding agents. Choose Grok 4.7 if you want output-heavy agent work at a mid-tier price.

In our editorial scoring, Grok 4.7 leads in 3 of five dimensions (output quality, agentic ability and reliability), while GLM 4.6 leads in 2. On price, GLM 4.6 runs about $0.95 per 1M tokens (blended) and is open-weight; Grok 4.7 is about $3.20 and proprietary.

Where GLM 4.6 falls short
  • Smaller context than the 5.x line
  • Below frontier on the hardest tasks
Full GLM 4.6 breakdown →
Where Grok 4.7 falls short
  • Prompts of 200K tokens or more cost double
  • Behind the Claude 5.5 and GPT-6 models on Terminal-Bench 4.0
Full Grok 4.7 breakdown →

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