Compare / head-to-head
GLM-5.3vsLlama 4 Scout
GLM-5.3 leads 1 of 1 shared benchmark. Llama 4 Scout has the larger context window (10M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
1 – 0
GLM-5.3 leads
Cheaper per token
—
list price, input + output
Larger context
Llama 4 Scout
10M tokens
Provider uptime (30d)
— · —
Z.ai · Meta
GLM-5.3
Z.ai · released 2026-08-14
text
Llama 4 Scout
Meta · released 2025-04-05
textvision
- Context
- 10M
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 2 · 2 core
Quality
Benchmark matrix
1 shared · 23 only GLM-5.3 · 1 only Llama 4 Scout| Benchmark | GLM-5.3 | Llama 4 Scout | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| GPQA Diamond | 90.9% ↗epoch | 57.2% ↗ | +33.7 pt | GLM-5.3 |
| Only GLM-5.3 reports · 23 | ||||
| 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 | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 68.8% ↗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 | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 91.1% ↗epoch | 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 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 Llama 4 Scout reports · 1 | ||||
| MMLU-Pro | not reported | 74.3% ↗ | — | — |
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 Llama 4 Scout 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 | Llama 4 Scout | Edge |
|---|---|---|---|
| Context window | 1M tokens | 10M tokens | Llama 4 Scout |
| Max output | 131K tokens | — | — |
| Input price / 1M | $1.4 ↗ | — | — |
| Output price / 1M | $4.4 ↗ | — | — |
| Cached input / 1M | $0.26 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | — | — |
| Modalities | text | text · vision | Llama 4 Scout |
| Released | 2026-08-14 | 2025-04-05 | — |
| Cited benchmark scores | 33 | 2 | — |
Reliability
Provider status
Last 60 days · refreshed daily on this page · live on /statusMore matchups
GLM-5.3 vs …
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Llama 4 Scout vs …
Models sharing the most benchmarksBuilt by Respan
Which one wins on your data?
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