Compare / head-to-head
GLM-5.3vsQwen3.6-Flash
GLM-5.3 leads 4 of 4 shared benchmarks. Qwen3.6-Flash is 5x 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
4 – 0
GLM-5.3 leads
Cheaper per token
Qwen3.6-Flash
5x cheaper, input + output
Larger context
Tie
both 1M tokens
Provider uptime (30d)
— · —
Z.ai · Qwen
GLM-5.3
Z.ai · released 2026-08-14
text
Qwen3.6-Flash
Qwen · released 2026-04-16
textvision
Quality
Benchmark matrix
4 shared · 20 only GLM-5.3 · 0 only Qwen3.6-Flash| Benchmark | GLM-5.3 | Qwen3.6-Flash | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| GPQA Diamond | 90.9% ↗epoch | 83.3% ↗epoch | +7.6 pt | GLM-5.3 |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 68.8% ↗epoch | 17.2% ↗epoch | +51.6 pt | GLM-5.3 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 91.1% ↗epoch | 84.4% ↗epoch | +6.7 pt | GLM-5.3 |
| SimpleQA Verified | 41% ↗epoch | 15.9% ↗epoch | +25.1 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 Qwen3.6-Flash reports · 0 | ||||
| Qwen3.6-Flash reports nothing GLM-5.3 does not. | ||||
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 Qwen3.6-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 | Qwen3.6-Flash | Edge |
|---|---|---|---|
| Context window | 1M tokens | 1M tokens | Tie |
| Max output | 131K tokens | — | — |
| Input price / 1M | $1.4 ↗ | $0.165 ↗ | Qwen3.6-Flash |
| Output price / 1M | $4.4 ↗ | $0.99 ↗ | Qwen3.6-Flash |
| Cached input / 1M | $0.26 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | $1.16 | Qwen3.6-Flash |
| Modalities | text | text · vision | Qwen3.6-Flash |
| Released | 2026-08-14 | 2026-04-16 | — |
| 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
Qwen3.6-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 Qwen3.6-Flash on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.