Pick a winner in each dimension — change your vote anytime.
Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).
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 $2.50 and proprietary.
The model picks the moves; the agent runs the loop, the tools, and the guardrails. Once you've chosen a model, see which agent gets the most out of it.