Standard Compute
Model comparison 2026

GPT-5.3-Codex vs Grok 4.7

GPT-5.3-Codex
OpenAI · Balanced · Proprietary
$5.42/1M · 400K ctx
Grok 4.7
xAI · Balanced · Proprietary
$3.20/1M · 500K ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

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 money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
GPT-5.3-Codex
Grok 4.7
Maker
OpenAI
xAI
Blended price / 1M
$5.42
$3.20
Input / output
$1.75 in · $14 out / 1M tokens
$2.00 in · $6.00 out / 1M tokens
Context window
400K
500K
Open weights
No
No
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.8
9.2
Agentic Ability
9.3
9.0
Speed
7.8
7.8
Value for money
7.8
8.7
Reliability
8.7
8.6

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

Verdict: GPT-5.3-Codex or Grok 4.7?

Updated 2026-10-13

Choose GPT-5.3-Codex if you want codex CLI users and dedicated coding agents. Choose Grok 4.7 if you want output-heavy agent work at a mid-tier price.

Editorially it's close: each model leads in 2 of our five dimensions. On price, GPT-5.3-Codex runs about $5.42 per 1M tokens (blended) and is proprietary; Grok 4.7 is about $3.20 and proprietary.

Where GPT-5.3-Codex falls short
  • Narrower than a general flagship outside coding
  • Mid-tier pricing
Full GPT-5.3-Codex breakdown →
Where Grok 4.7 falls short
  • Prompts of 200K tokens or more cost double
  • Behind the Claude 5.5 and GPT-6 models on Terminal-Bench 4.0
Full Grok 4.7 breakdown →

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