Compare / head-to-head
CodestralvsGLM-4.5
Codestral and GLM-4.5 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Codestral is 2.3x cheaper per token. Codestral has the larger context window (256K 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
2.3x cheaper, input + output
Larger context
Codestral
256K tokens
Provider uptime (30d)
100% · —
Mistral AI · Z.ai
Codestral
Mistral AI · released 2025-01-13
text
Quality
Benchmark matrix
0 shared · 1 only Codestral · 2 only GLM-4.5| Benchmark | Codestral | GLM-4.5 | 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 GLM-4.5 reports · 2 | ||||
| AIME 2025 | not reported | 93.3% ↗matharena ⚠ | — | — |
| LMArena Elo | not reported | 1430.2 ↗ | — | — |
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 GLM-4.5 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 | GLM-4.5 | Edge |
|---|---|---|---|
| Context window | 256K tokens | 128K tokens | Codestral |
| Max output | — | 98K tokens | — |
| Input price / 1M | $0.3 ↗ | $0.6 ↗ | Codestral |
| Output price / 1M | $0.9 ↗ | $2.2 ↗ | Codestral |
| Cached input / 1M | $0.03 ↗ | $0.11 ↗ | Codestral |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $1.2 | $2.8 | Codestral |
| Modalities | text | text | Tie |
| Released | 2025-01-13 | — | — |
| Cited benchmark scores | 1 | 2 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
Codestral vs …
Models sharing the most benchmarksMore matchups
GLM-4.5 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run Codestral and GLM-4.5 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.