Standard Compute
Model comparison 2026

Devstral 2 vs GPT-5.3-Codex

Devstral 2
Mistral · Balanced · Open weights
$0.88/1M · 262K ctx
GPT-5.3-Codex
OpenAI · Balanced · Proprietary
$5.42/1M · 400K 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
Devstral 2
GPT-5.3-Codex
Maker
Mistral
OpenAI
Blended price / 1M
$0.88
$5.42
Input / output
$0.40 in · $2.00 out / 1M tokens
$1.75 in · $14 out / 1M tokens
Context window
262K
400K
Open weights
Yes
No
Tool use
Yes
Yes
Reasoning
No
Yes
Output Quality
3.3
6.8
Agentic Ability
4.4
5.1
Speed
8.2
8.0
Value for Money
5.7
5.0
Reliability
8.4
8.4

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

Verdict: Devstral 2 or GPT-5.3-Codex?

Updated 2026-10-17

Choose Devstral 2 if you want coding agents that need a Mistral open-weight model. Choose GPT-5.3-Codex if you want existing Codex setups on an API key that still pin GPT-5.3-Codex.

Editorially it's close: each model leads in 2 of our five dimensions. On price, Devstral 2 runs about $0.88 per 1M tokens (blended) and is open-weight; GPT-5.3-Codex is about $5.42 and proprietary.

Where Devstral 2 falls short
  • 0% in Artificial Analysis's Terminal-Bench 4.0 run
  • 262K context, smaller than 11.7% of the coding-agent requests we measured
Full Devstral 2 breakdown →
Where GPT-5.3-Codex falls short
  • Deprecated in Codex with ChatGPT sign-in
  • GPT-6.1 Sol scores far higher for about 20% more per request ($0.067 vs $0.055)
Full GPT-5.3-Codex breakdown →

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