Compare / head-to-head
CodestralvsGPT-5.6 Luna
Codestral and GPT-5.6 Luna do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Codestral is 1.2x cheaper per token. GPT-5.6 Luna has the larger context window (1.1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
Codestral
1.2x cheaper, input + output
Larger context
GPT-5.6 Luna
1.1M tokens
Provider uptime (30d)
100% · 94.2446%
Mistral AI · OpenAI
Codestral
Mistral AI · released 2025-01-13
text
GPT-5.6 Luna
OpenAI · released 2026-07-09
textvision
Quality
Benchmark matrix
0 shared · 1 only Codestral · 7 only GPT-5.6 Luna| Benchmark | Codestral | GPT-5.6 Luna | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only Codestral reports · 1 | ||||
| HumanEval | 86.6% ↗ | not reported | — | — |
| Only GPT-5.6 Luna reports · 7 | ||||
| GPQA Diamond | not reported | 92.3% ↗ | — | — |
| DeepSWE v1.1 | not reported | 67.2% ↗ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 61% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 82.1% ↗epoch | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 98.3% ↗epoch | — | — |
| SimpleQA Verified | not reported | 41% ↗epoch | — | — |
| SWE-Bench Pro | not reported | 62.7% ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is Codestral minus GPT-5.6 Luna in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | Codestral | GPT-5.6 Luna | Edge |
|---|---|---|---|
| Context window | 256K tokens | 1.1M tokens | GPT-5.6 Luna |
| Max output | — | 128K tokens | — |
| Input price / 1M | $0.3 ↗ | $0.2 ↗ | GPT-5.6 Luna |
| Output price / 1M | $0.9 ↗ | $1.2 ↗ | Codestral |
| Cached input / 1M | $0.03 ↗ | $0.02 ↗ | GPT-5.6 Luna |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.2 | $1.4 | Codestral |
| Modalities | text | text · vision | GPT-5.6 Luna |
| Released | 2025-01-13 | 2026-07-09 | — |
| Cited benchmark scores | 1 | 8 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Codestral vs …
Models sharing the most benchmarksMore matchups
GPT-5.6 Luna vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Codestral and GPT-5.6 Luna on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.