Standard Compute
Model Comparison 2026

GLM 5.2 vs Kimi K2.6

GLM 5.2
Z.AI · Frontier · Open weights
$1.26/1M · 1.0M ctx
Kimi K2.6
Moonshot AI · Frontier · Open weights
$1.27/1M · 262K 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
Kimi K2.6
Maker
Z.AI
Moonshot AI
Blended price / 1M
$1.26
$1.27
Input / output
$0.77 in · $2.42 out / 1M tokens
$0.65 in · $2.72 out / 1M tokens
Context window
1.0M
262K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
9.0
8.6
Agentic Ability
9.2
8.8
Speed
7.6
7.6
Value for $
8.8
9.2
Reliability
8.7
9.0

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

Verdict: GLM 5.2 or Kimi K2.6?

Updated 2026-08-02

Choose GLM 5.2 if you want open-weight coding agents that want a long context. Choose Kimi K2.6 if you want a flagship-feel open-weight generalist.

Editorially it's close: each model leads in 2 of our five dimensions. On price, GLM 5.2 runs about $1.26 per 1M tokens (blended) and is open-weight; Kimi K2.6 is about $1.27 and open-weight.

Where GLM 5.2 falls short
  • Just behind the closed flagships on hard tasks
  • Hosted throughput varies
Full GLM 5.2 breakdown →
Where Kimi K2.6 falls short
  • A step behind the closed flagships
  • Pricier than the cheapest open models
Full Kimi K2.6 breakdown →

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