Model Comparison 2026

GPT-5.3-Codex vs MiniMax M3

GPT-5.3-Codex
OpenAI · Balanced · Proprietary
$5.42/1M · 400K ctx
MiniMax M3
MiniMax · Balanced · Open weights
$0.57/1M · 1.0M 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
GPT-5.3-Codex
MiniMax M3
Maker
OpenAI
MiniMax
Blended price / 1M
$5.42
$0.57
Input / output
$1.75 in · $14 out / 1M tokens
$0.30 in · $1.20 out / 1M tokens
Context window
400K
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.8
8.4
Agentic Ability
9.3
8.7
Speed
7.8
7.8
Value for $
7.8
9.1
Reliability
8.7
8.6

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

Verdict: GPT-5.3-Codex or MiniMax M3?

Updated 2026-06-22

Choose GPT-5.3-Codex if you want codex CLI users and dedicated coding agents. Choose MiniMax M3 if you want open-weight autonomous agents that lean on tool use.

In our editorial scoring, GPT-5.3-Codex leads in 3 of five dimensions (output quality, agentic ability and reliability), while MiniMax M3 leads in 1. On price, GPT-5.3-Codex runs about $5.42 per 1M tokens (blended) and is proprietary; MiniMax M3 is about $0.57 and open-weight.

Where GPT-5.3-Codex falls short
  • Narrower than a general flagship outside coding
  • Mid-tier pricing
Full GPT-5.3-Codex breakdown →
Where MiniMax M3 falls short
  • Below frontier on raw quality
  • Newer, less battle-tested than V3.2/GLM
Full MiniMax M3 breakdown →

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