Compare / head-to-head
GLM-5.3vsGPT-4o
GLM-5.3 leads 4 of 4 shared benchmarks. GLM-5.3 is 2.2x cheaper per token. 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
4 – 0
GLM-5.3 leads
Cheaper per token
GLM-5.3
2.2x cheaper, input + output
Larger context
GLM-5.3
1M tokens
Provider uptime (30d)
— · 95.4802%
Z.ai · OpenAI
GLM-5.3
Z.ai · released 2026-08-14
text
Quality
Benchmark matrix
4 shared · 20 only GLM-5.3 · 4 only GPT-4o| Benchmark | GLM-5.3 | GPT-4o | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| GPQA Diamond | 90.9% ↗epoch | 46% ↗ | +44.9 pt | GLM-5.3 |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 68.8% ↗epoch | 0.4% ↗epoch | +68.4 pt | GLM-5.3 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 91.1% ↗epoch | 6.4% ↗epoch | +84.7 pt | GLM-5.3 |
| SimpleQA Verified | 41% ↗epoch | 26% ↗epoch | +15 pt | GLM-5.3 |
| Only GLM-5.3 reports · 20 | ||||
| Agents' Last Exam | 28.5% ↗ | not reported | — | — |
| Agents' Last Exam (ALE-CLI) | 28.5% ↗ | not reported | — | — |
| AutomationBench v1.0.6 | 48.2% ↗ | not reported | — | — |
| CyberGym | 84.5% ↗ | not reported | — | — |
| DeepSWE v1.1 | 66.9% ↗ | not reported | — | — |
| ExploitBench | 54.4% ↗ | not reported | — | — |
| ExploitGym 2h | 105 ↗ | not reported | — | — |
| ExploitGym 6h | 130 ↗ | not reported | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | 29.3% ↗epoch | not reported | — | — |
| FrontierSWE | 78.1% ↗ | not reported | — | — |
| GDPval-AA v2 | 1769 ↗ | not reported | — | — |
| HLE (with tools) | 62.5% ↗ | not reported | — | — |
| NL2Repo | 58% ↗ | not reported | — | — |
| PostTrainBench | 39.8% ↗ | not reported | — | — |
| ProgramBench (Almost Solved) | 19% ↗ | not reported | — | — |
| SWE-Marathon v1.1 | 42.5% ↗ | not reported | — | — |
| Terminal-Bench 2.1 | 88.2% ↗ | not reported | — | — |
| Terminal-Bench 3.0 | 28.3% ↗ | not reported | — | — |
| Toolathlon Verified | 73% ↗ | not reported | — | — |
| Z.ai Code Bench (max effort) | 34.5% ↗ | not reported | — | — |
| Only GPT-4o reports · 4 | ||||
| MMLU | not reported | 85.7% ↗ | — | — |
| AIME 2025 | not reported | 11.7% ↗matharena | — | — |
| AIME 2024 | not reported | 13.1% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 31% ↗epoch | — | — |
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 GPT-4o 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 | GPT-4o | Edge |
|---|---|---|---|
| Context window | 1M tokens | 128K tokens | GLM-5.3 |
| Max output | 131K tokens | 16K tokens | GLM-5.3 |
| Input price / 1M | $1.4 ↗ | $2.5 ↗ | GLM-5.3 |
| Output price / 1M | $4.4 ↗ | $10 ↗ | GLM-5.3 |
| Cached input / 1M | $0.26 ↗ | $1.25 ↗ | GLM-5.3 |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | $12.5 | GLM-5.3 |
| Modalities | text | text · vision | GPT-4o |
| Released | 2026-08-14 | 2024-05-13 | — |
| Cited benchmark scores | 33 | 9 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GLM-5.3 vs …
Models sharing the most benchmarksMore matchups
GPT-4o vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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