Standard Compute
Model Comparison 2026

GLM 4.6 vs Kimi K2.7 Code

GLM 4.6
Z.AI · Balanced · Open weights
$0.95/1M · 205K ctx
Kimi K2.7 Code
Moonshot AI · Balanced · Open weights
$1.56/1M · 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 4.6
Kimi K2.7 Code
Maker
Z.AI
Moonshot AI
Blended price / 1M
$0.95
$1.56
Input / output
$0.50 in · $2.00 out / 1M tokens
$0.73 in · $3.50 out / 1M tokens
Context window
205K
262K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
7.8
8.6
Agentic Ability
7.9
9.2
Speed
8.0
7.8
Value for $
8.8
9.2
Reliability
8.4
8.9

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

Verdict: GLM 4.6 or Kimi K2.7 Code?

Updated 2026-08-02

Choose GLM 4.6 if you want the value pick for open-weight coding agents. Choose Kimi K2.7 Code if you want cheap, capable open-weight coding agents.

In our editorial scoring, Kimi K2.7 Code leads in 4 of five dimensions (output quality, agentic ability, value for $ and reliability), while GLM 4.6 leads in 1. On price, GLM 4.6 runs about $0.95 per 1M tokens (blended) and is open-weight; Kimi K2.7 Code is about $1.56 and open-weight.

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 Kimi K2.7 Code falls short
  • Below the very top models on hard reasoning
  • Throughput varies by host
Full Kimi K2.7 Code breakdown →

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