Compare / head-to-head
GLM-4.5-FlashvsGLM-4.6
GLM-4.5-Flash and GLM-4.6 do not yet share a public benchmark, so quality cannot be compared apples-to-apples. Both offer a 200K-token context window.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0
no overlap yet
Cheaper per token
GLM-4.5-Flash
list price, input + output
Larger context
Tie
both 200K tokens
Provider uptime (30d)
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Z.ai
GLM-4.5-Flash
Z.ai
text
Quality
Benchmark matrix
0 shared · 0 only GLM-4.5-Flash · 2 only GLM-4.6| Benchmark | GLM-4.5-Flash | GLM-4.6 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 0 | ||||
| No public benchmark is reported for both models yet. | ||||
| Only GLM-4.5-Flash reports · 0 | ||||
| GLM-4.5-Flash reports nothing GLM-4.6 does not. | ||||
| Only GLM-4.6 reports · 2 | ||||
| AIME 2025 | not reported | 91.7% ↗matharena ⚠ | — | — |
| LMArena Elo | not reported | 1440.5 ↗ | — | — |
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 GLM-4.5-Flash minus GLM-4.6 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 | GLM-4.5-Flash | GLM-4.6 | Edge |
|---|---|---|---|
| Context window | 200K tokens | 200K tokens | Tie |
| Max output | 98K tokens | 131K tokens | GLM-4.6 |
| Input price / 1M | $0 ↗ | $0.6 ↗ | GLM-4.5-Flash |
| Output price / 1M | $0 ↗ | $2.2 ↗ | GLM-4.5-Flash |
| Cached input / 1M | $0 ↗ | $0.11 ↗ | GLM-4.5-Flash |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0 | $2.8 | GLM-4.5-Flash |
| Modalities | text | text | Tie |
| Released | — | — | — |
| Cited benchmark scores | 0 | 2 | — |
Reliability
Z.ai status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GLM-4.6 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-4.5-Flash and GLM-4.6 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.