Standard Compute
Model Comparison 2026

Claude Opus 4.8 vs GLM 5.2

Claude Opus 4.8
Anthropic · Frontier · Proprietary
$11/1M · 1M ctx
GLM 5.2
Z.AI · Frontier · Open weights
$1.26/1M · 1.0M 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
Opus 4.8
GLM 5.2
Maker
Anthropic
Z.AI
Blended price / 1M
$11
$1.26
Input / output
$5.00 in · $25 out / 1M tokens
$0.77 in · $2.42 out / 1M tokens
Context window
1M
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.6
9.0
Agentic Ability
9.6
9.2
Speed
7.2
7.6
Value for $
7.5
8.8
Reliability
9.5
8.7

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

Verdict: Opus 4.8 or GLM 5.2?

Updated 2026-08-02

Choose Claude Opus 4.8 if you want hard, high-stakes coding and reasoning where quality matters more than cost. Choose GLM 5.2 if you want open-weight coding agents that want a long context.

In our editorial scoring, Claude Opus 4.8 leads in 3 of five dimensions (output quality, agentic ability and reliability), while GLM 5.2 leads in 2. On price, Claude Opus 4.8 runs about $11 per 1M tokens (blended) and is proprietary; GLM 5.2 is about $1.26 and open-weight.

Where Opus 4.8 falls short
  • Among the most expensive models per token
  • Slower than lighter models on simple tasks
Full Opus 4.8 breakdown →
Where GLM 5.2 falls short
  • Just behind the closed flagships on hard tasks
  • Hosted throughput varies
Full GLM 5.2 breakdown →

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