Model Comparison 2026

Codestral vs GPT-5.6 Luna

Codestral
Mistral · Budget · Proprietary
$0.48/1M · 256K ctx
GPT-5.6 Luna
OpenAI · Budget · Proprietary
$1.25/1M · 1.1M 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
Codestral
Luna
Maker
Mistral
OpenAI
Blended price / 1M
$0.48
$1.25
Input / output
$0.30 in · $0.90 out / 1M tokens
$0.50 in · $3.00 out / 1M tokens
Context window
256K
1.1M
Open weights
No
No
Tool use
Yes
Yes
Reasoning
No
Yes
Output Quality
6.8
8.4
Agentic Ability
6.5
8.3
Speed
9.5
9.3
Value for $
8.9
9.0
Reliability
8.8
9.1

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

Verdict: Codestral or Luna?

Updated 2026-08-02

Choose Codestral if you want fast completions and lightweight code edits. Choose GPT-5.6 Luna if you want cheap, fast subtasks, routing, and subagents in OpenAI-based stacks.

In our editorial scoring, GPT-5.6 Luna leads in 4 of five dimensions (output quality, agentic ability, value for $ and reliability), while Codestral leads in 1. On price, Codestral runs about $0.48 per 1M tokens (blended) and is proprietary; GPT-5.6 Luna is about $1.25 and proprietary.

Where Codestral falls short
  • Not for deep agentic planning
  • Quality below the larger coders
Full Codestral breakdown →
Where Luna falls short
  • Clear quality step below Terra and Sol
  • Very new — behavior under long agent chains still settling
Full Luna breakdown →

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