Compare / head-to-head
GLM-5.3vsQwen3.8 2.4T-A95B
Qwen3.8 2.4T-A95B leads 1 of 1 shared benchmark. GLM-5.3 is 1.1x 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
0 – 1
Qwen3.8 2.4T-A95B leads
Cheaper per token
GLM-5.3
1.1x cheaper, input + output
Larger context
Tie
both 1M tokens
Provider uptime (30d)
— · —
Z.ai · Qwen
GLM-5.3
Z.ai · released 2026-08-14
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Qwen3.8 2.4T-A95B
Qwen · released 2026-08-12
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Quality
Benchmark matrix
1 shared · 23 only GLM-5.3 · 3 only Qwen3.8 2.4T-A95B| Benchmark | GLM-5.3 | Qwen3.8 2.4T-A95B | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 1 | ||||
| GPQA Diamond | 90.9% ↗epoch | 92.6% ↗ | -1.7 pt | Qwen3.8 2.4T-A95B |
| 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 Qwen3.8 2.4T-A95B reports · 3 | ||||
| BabyVision | not reported | 82% ↗ | — | — |
| OSWorld | not reported | 86.1% ↗ | — | — |
| PaperBench | not reported | 93% ↗ | — | — |
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 Qwen3.8 2.4T-A95B 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 | Qwen3.8 2.4T-A95B | Edge |
|---|---|---|---|
| Context window | 1M tokens | 1M tokens | Tie |
| Max output | 131K tokens | 131K tokens | Tie |
| Input price / 1M | $1.4 ↗ | $1.65 ↗ | GLM-5.3 |
| Output price / 1M | $4.4 ↗ | $4.95 ↗ | GLM-5.3 |
| Cached input / 1M | $0.26 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | $6.6 | GLM-5.3 |
| Modalities | text | text | Tie |
| Released | 2026-08-14 | 2026-08-12 | — |
| Cited benchmark scores | 33 | 4 | — |
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
Qwen3.8 2.4T-A95B 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 Qwen3.8 2.4T-A95B on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.