Model Comparison 2026

GLM 4.7 vs GPT-5.3-Codex

GLM 4.7
Z.AI · Balanced · Open weights
$0.81/1M · 203K ctx
GPT-5.3-Codex
OpenAI · Balanced · Proprietary
$5.42/1M · 400K 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
GPT-5.3-Codex
Maker
Z.AI
OpenAI
Blended price / 1M
$0.81
$5.42
Input / output
$0.40 in · $1.75 out / 1M tokens
$1.75 in · $14 out / 1M tokens
Context window
203K
400K
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.0
8.8
Agentic Ability
8.2
9.3
Speed
8.0
7.8
Value for $
8.9
7.8
Reliability
8.6
8.7

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

Verdict: GLM 4.7 or GPT-5.3-Codex?

Updated 2026-06-22

Choose GLM 4.7 if you want gLM users wanting a small step up from 4.6. Choose GPT-5.3-Codex if you want codex CLI users and dedicated coding agents.

In our editorial scoring, GPT-5.3-Codex leads in 3 of five dimensions (output quality, agentic ability and reliability), while GLM 4.7 leads in 2. On price, GLM 4.7 runs about $0.81 per 1M tokens (blended) and is open-weight; GPT-5.3-Codex is about $5.42 and proprietary.

Where GLM 4.7 falls short
  • Incremental over 4.6
  • 202K context
Full GLM 4.7 breakdown →
Where GPT-5.3-Codex falls short
  • Narrower than a general flagship outside coding
  • Mid-tier pricing
Full GPT-5.3-Codex breakdown →

The model is half the story — the agent is the other half

The model picks the moves; the agent runs the loop, the tools, and the guardrails. Once you've chosen a model, see which agent gets the most out of it.

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