Model Comparison 2026

GPT-5.3-Codex vs Mistral Large 3

GPT-5.3-Codex
OpenAI · Balanced · Proprietary
$5.42/1M · 400K ctx
Mistral Large 3
Mistral · Balanced · Open weights
$0.80/1M · 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
GPT-5.3-Codex
Mistral Large 3
Maker
OpenAI
Mistral
Blended price / 1M
$5.42
$0.80
Input / output
$1.75 in · $14 out / 1M tokens
$0.50 in · $1.50 out / 1M tokens
Context window
400K
262K
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
No
Output Quality
8.8
8.0
Agentic Ability
9.3
7.8
Speed
7.8
8.0
Value for $
7.8
8.9
Reliability
8.7
8.6

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

Verdict: GPT-5.3-Codex or Mistral Large 3?

Updated 2026-06-22

Choose GPT-5.3-Codex if you want codex CLI users and dedicated coding agents. Choose Mistral Large 3 if you want general-purpose open-weight agent work, especially in the EU.

In our editorial scoring, GPT-5.3-Codex leads in 3 of five dimensions (output quality, agentic ability and reliability), while Mistral Large 3 leads in 2. On price, GPT-5.3-Codex runs about $5.42 per 1M tokens (blended) and is proprietary; Mistral Large 3 is about $0.80 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 Mistral Large 3 falls short
  • Below the very top models
  • Less agent-community momentum than GLM/Qwen
Full Mistral Large 3 breakdown →

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