Standard Compute
Model Comparison 2026

GPT-5.3-Codex vs Kimi K2.7 Code

GPT-5.3-Codex
OpenAI · Balanced · Proprietary
$5.42/1M · 400K 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. 2 votes cast so far.

Output Quality
Correctness and depth of what it produces
GPT-5.3-Codex 0%100% Kimi K2.7 Code
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
GPT-5.3-Codex 0%100% Kimi K2.7 Code
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
GPT-5.3-Codex
Kimi K2.7 Code
Maker
OpenAI
Moonshot AI
Blended price / 1M
$5.42
$1.56
Input / output
$1.75 in · $14 out / 1M tokens
$0.73 in · $3.50 out / 1M tokens
Context window
400K
262K
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.8
8.6
Agentic Ability
9.3
9.2
Speed
7.8
7.8
Value for $
7.8
9.2
Reliability
8.7
8.9

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

Verdict: GPT-5.3-Codex or Kimi K2.7 Code?

Updated 2026-08-02

Choose GPT-5.3-Codex if you want codex CLI users and dedicated coding agents. Choose Kimi K2.7 Code if you want cheap, capable open-weight coding agents.

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; Kimi K2.7 Code is about $1.56 and open-weight.

Across 2 community votes on this matchup, Kimi K2.7 Code currently leads in 2 of five dimensions. Cast your own vote above to move the needle.

Where GPT-5.3-Codex falls short
  • Narrower than a general flagship outside coding
  • Mid-tier pricing
Full GPT-5.3-Codex 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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