Model Comparison 2026

GLM 4.7 vs Kimi K2.7 Code

GLM 4.7
Z.AI · Balanced · Open weights
$0.81/1M · 203K ctx
Kimi K2.7 Code
Moonshot AI · Balanced · Open weights
$1.35/1M · 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 4.7
Kimi K2.7 Code
Maker
Z.AI
Moonshot AI
Blended price / 1M
$0.81
$1.35
Input / output
$0.40 in · $1.75 out / 1M tokens
$0.61 in · $3.07 out / 1M tokens
Context window
203K
262K
Open weights
Yes
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.0
8.6
Agentic Ability
8.2
9.2
Speed
8.0
7.8
Value for $
8.9
9.2
Reliability
8.6
8.9

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

Verdict: GLM 4.7 or Kimi K2.7 Code?

Updated 2026-06-22

Choose GLM 4.7 if you want gLM users wanting a small step up from 4.6. 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 4.7 leads in 1. On price, GLM 4.7 runs about $0.81 per 1M tokens (blended) and is open-weight; Kimi K2.7 Code is about $1.35 and open-weight.

Where GLM 4.7 falls short
  • Incremental over 4.6
  • 202K context
Full GLM 4.7 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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