Compare / head-to-head
GLM-5.3vsGLM-5.3-Flash
GLM-5.3 leads 8 of 12 shared benchmarks. GLM-5.3-Flash is 8.9x cheaper per token. Both offer a 1M-token context window.
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
8 – 4
GLM-5.3 leads
Cheaper per token
GLM-5.3-Flash
8.9x cheaper, input + output
Larger context
Tie
both 1M tokens
Provider uptime (30d)
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Z.ai
GLM-5.3
Z.ai · released 2026-08-14
text
GLM-5.3-Flash
Z.ai · released 2026-09-16
textvision
Quality
Benchmark matrix
12 shared · 12 only GLM-5.3 · 7 only GLM-5.3-Flash| Benchmark | GLM-5.3 | GLM-5.3-Flash | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 12 | ||||
| GPQA Diamond | 90.9% ↗epoch | 90.2% ↗epoch | +0.7 pt | GLM-5.3 |
| Agents' Last Exam (ALE-CLI) | 28.5% ↗ | 26.3% ↗ | +2.2 pt | GLM-5.3 |
| AutomationBench v1.0.6 | 48.2% ↗ | 48.8% ↗ | -0.6 pt | GLM-5.3-Flash |
| DeepSWE v1.1 | 66.9% ↗ | 63.4% ↗ | +3.5 pt | GLM-5.3 |
| FrontierMath Tier 4 v2 (Epoch AI run) | 29.3% ↗epoch | 17.1% ↗epoch | +12.2 pt | GLM-5.3 |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 68.8% ↗epoch | 55.8% ↗epoch | +13 pt | GLM-5.3 |
| GDPval-AA v2 | 1769 ↗ | 1773 ↗ | -4 | GLM-5.3-Flash |
| HLE (with tools) | 62.5% ↗ | 55.3% ↗ | +7.2 pt | GLM-5.3 |
| NL2Repo | 58% ↗ | 56.3% ↗ | +1.7 pt | GLM-5.3 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 91.1% ↗epoch | 93.9% ↗epoch | -2.8 pt | GLM-5.3-Flash |
| Terminal-Bench 2.1 | 88.2% ↗ | 84.3% ↗ | +3.9 pt | GLM-5.3 |
| Toolathlon Verified | 73% ↗ | 78.4% ↗ | -5.4 pt | GLM-5.3-Flash |
| Only GLM-5.3 reports · 12 | ||||
| Agents' Last Exam | 28.5% ↗ | not reported | — | — |
| CyberGym | 84.5% ↗ | not reported | — | — |
| ExploitBench | 54.4% ↗ | not reported | — | — |
| ExploitGym 2h | 105 ↗ | not reported | — | — |
| ExploitGym 6h | 130 ↗ | not reported | — | — |
| FrontierSWE | 78.1% ↗ | not reported | — | — |
| PostTrainBench | 39.8% ↗ | not reported | — | — |
| ProgramBench (Almost Solved) | 19% ↗ | not reported | — | — |
| SimpleQA Verified | 41% ↗epoch | not reported | — | — |
| SWE-Marathon v1.1 | 42.5% ↗ | not reported | — | — |
| Terminal-Bench 3.0 | 28.3% ↗ | not reported | — | — |
| Z.ai Code Bench (max effort) | 34.5% ↗ | not reported | — | — |
| Only GLM-5.3-Flash reports · 7 | ||||
| LMArena Elo | not reported | 1471.9 ↗ | — | — |
| BabyVision | not reported | 53.4% ↗ | — | — |
| Chartography (with tools) | not reported | 78% ↗ | — | — |
| CharXiv Reasoning (with tools) | not reported | 89.4% ↗ | — | — |
| MMVU | not reported | 80.5% ↗ | — | — |
| MVBench | not reported | 77.8% ↗ | — | — |
| OfficeQA Pro | not reported | 62.4% ↗ | — | — |
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-5.3 minus GLM-5.3-Flash 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-5.3 | GLM-5.3-Flash | Edge |
|---|---|---|---|
| Context window | 1M tokens | 1M tokens | Tie |
| Max output | 131K tokens | 131K tokens | Tie |
| Input price / 1M | $1.4 ↗ | $0.15 ↗ | GLM-5.3-Flash |
| Output price / 1M | $4.4 ↗ | $0.5 ↗ | GLM-5.3-Flash |
| Cached input / 1M | $0.26 ↗ | $0.03 ↗ | GLM-5.3-Flash |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | $0.65 | GLM-5.3-Flash |
| Modalities | text | text · vision | GLM-5.3-Flash |
| Released | 2026-08-14 | 2026-09-16 | — |
| Cited benchmark scores | 33 | 19 | — |
Reliability
Z.ai status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GLM-5.3 vs …
Models sharing the most benchmarksMore matchups
GLM-5.3-Flash vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
Public benchmarks are a starting point. Run GLM-5.3 and GLM-5.3-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.