Compare / head-to-head
GLM-4.7-FlashvsGLM-5.3
GLM-5.3 leads 2 of 2 shared benchmarks. GLM-5.3 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 2
GLM-5.3 leads
Cheaper per token
GLM-4.7-Flash
list price, input + output
Larger context
GLM-5.3
1M tokens
Provider uptime (30d)
—
Z.ai
GLM-4.7-Flash
Z.ai
text
Quality
Benchmark matrix
2 shared · 1 only GLM-4.7-Flash · 22 only GLM-5.3| Benchmark | GLM-4.7-Flash | GLM-5.3 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 2 | ||||
| GPQA Diamond | 60.5% ↗epoch | 90.9% ↗epoch | -30.4 pt | GLM-5.3 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 58.3% ↗epoch | 91.1% ↗epoch | -32.8 pt | GLM-5.3 |
| Only GLM-4.7-Flash reports · 1 | ||||
| LMArena Elo | 1352.2 ↗ | not reported | — | — |
| Only GLM-5.3 reports · 22 | ||||
| Agents' Last Exam | not reported | 28.5% ↗ | — | — |
| Agents' Last Exam (ALE-CLI) | not reported | 28.5% ↗ | — | — |
| AutomationBench v1.0.6 | not reported | 48.2% ↗ | — | — |
| CyberGym | not reported | 84.5% ↗ | — | — |
| DeepSWE v1.1 | not reported | 66.9% ↗ | — | — |
| ExploitBench | not reported | 54.4% ↗ | — | — |
| ExploitGym 2h | not reported | 105 ↗ | — | — |
| ExploitGym 6h | not reported | 130 ↗ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 29.3% ↗epoch | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 68.8% ↗epoch | — | — |
| FrontierSWE | not reported | 78.1% ↗ | — | — |
| GDPval-AA v2 | not reported | 1769 ↗ | — | — |
| HLE (with tools) | not reported | 62.5% ↗ | — | — |
| NL2Repo | not reported | 58% ↗ | — | — |
| PostTrainBench | not reported | 39.8% ↗ | — | — |
| ProgramBench (Almost Solved) | not reported | 19% ↗ | — | — |
| SimpleQA Verified | not reported | 41% ↗epoch | — | — |
| SWE-Marathon v1.1 | not reported | 42.5% ↗ | — | — |
| Terminal-Bench 2.1 | not reported | 88.2% ↗ | — | — |
| Terminal-Bench 3.0 | not reported | 28.3% ↗ | — | — |
| Toolathlon Verified | not reported | 73% ↗ | — | — |
| Z.ai Code Bench (max effort) | not reported | 34.5% ↗ | — | — |
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-4.7-Flash minus GLM-5.3 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-4.7-Flash | GLM-5.3 | Edge |
|---|---|---|---|
| Context window | 200K tokens | 1M tokens | GLM-5.3 |
| Max output | 131K tokens | 131K tokens | Tie |
| Input price / 1M | $0 ↗ | $1.4 ↗ | GLM-4.7-Flash |
| Output price / 1M | $0 ↗ | $4.4 ↗ | GLM-4.7-Flash |
| Cached input / 1M | $0 ↗ | $0.26 ↗ | GLM-4.7-Flash |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $0 | $5.8 | GLM-4.7-Flash |
| Modalities | text | text | Tie |
| Released | — | 2026-08-14 | — |
| Cited benchmark scores | 3 | 33 | — |
Reliability
Z.ai status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GLM-4.7-Flash vs …
Models sharing the most benchmarksMore matchups
GLM-5.3 vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-4.7-Flash and GLM-5.3 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.