Compare / head-to-head
GLM-5.3vs
Qwen3.6-Max-Preview
GLM-5.3 leads 8 of 10 shared benchmarks. GLM-5.3 is 1.6x 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
8 – 1
GLM-5.3 leads · 1 tied
Cheaper per token
GLM-5.3
1.6x cheaper, input + output
Larger context
GLM-5.3
1M tokens
Providers
2 providers
Z.ai · Qwen
GLM-5.3
Z.ai · released 2026-08-18
text
Qwen3.6-Max-Preview
Qwen · released 2026-04-18
text
Quality
Benchmark matrix
10 shared · 33 only GLM-5.3 · 7 only Qwen3.6-Max-Preview| Benchmark | GLM-5.3 | Qwen3.6-Max-Preview | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 10 | ||||
| GPQA Diamond | 90.9% ↗epoch run | 87.4% ↗epoch run | +3.5 pt | GLM-5.3 |
| LMArena Elo | 1478.5 ↗ | 1460.3 ↗ | +18.2 | GLM-5.3 |
| Chess Puzzles (Epoch AI run) | 21% ↗epoch run | 20% ↗epoch run | +1 pt | GLM-5.3 |
| LMArena WebDev (LMArena) | 1623 ↗ | 1481.5 ↗ | +141.5 | GLM-5.3 |
| Mystery Game Puzzles (Epoch AI run) | 33% ↗epoch run | 19% ↗epoch run | +14 pt | GLM-5.3 |
| NL2Repo | 58% ↗ | 42.9% ↗ | +15.1 pt | GLM-5.3 |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | 91.1% ↗epoch run | 91.1% ↗epoch run | 0 | Tie |
| SimpleBench (SimpleBench) | 66.2% ↗ | 63% ↗ | +3.2 pt | GLM-5.3 |
| SimpleQA Verified | 41% ↗epoch run | 52% ↗epoch run | -11 pt | Qwen3.6-Max-Preview |
| Vending-Bench 2 (Andon Labs) | 8163.61 ↗ | 4254.19 ↗ | +3909.4 | GLM-5.3 |
| Only GLM-5.3 reports · 33 | ||||
| Agents' Last Exam | 28.5% ↗ | not reported | — | — |
| Agents' Last Exam (ALE-CLI) | 28.5% ↗ | not reported | — | — |
| APEX-Agents (Mercor) | 56.6% ↗ | not reported | — | — |
| AutomationBench v1.0.6 | 48.2% ↗ | not reported | — | — |
| CyberGym | 84.5% ↗ | not reported | — | — |
| DeepSWE v1.1 | 66.9% ↗ | not reported | — | — |
| DeepSWE v1.1 (Datacurve) | 69% ↗ | 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 run | not reported | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | 68.8% ↗epoch run | not reported | — | — |
| FrontierSWE | 78.1% ↗ | not reported | — | — |
| FrontierSWE V2 (Proximal Labs) | 30.2% ↗ | not reported | — | — |
| GDPval-AA v2 | 1769 ↗ | not reported | — | — |
| HLE (with tools) | 62.5% ↗ | not reported | — | — |
| LiveBench Agentic Coding (LiveBench) | 60.9% ↗ | not reported | — | — |
| LiveBench Coding (LiveBench) | 79% ↗ | not reported | — | — |
| LiveBench Data Analysis (LiveBench) | 70.2% ↗ | not reported | — | — |
| LiveBench Instruction Following (LiveBench) | 69.3% ↗ | not reported | — | — |
| LiveBench Language (LiveBench) | 79.9% ↗ | not reported | — | — |
| LiveBench Mathematics (LiveBench) | 87.9% ↗ | not reported | — | — |
| LiveBench Reasoning (LiveBench) | 85.8% ↗ | not reported | — | — |
| LMArena Agent (LMArena) | 0.0236 ↗ | 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 | — | — |
| Terminal-Bench 4.0 (Vals AI) | 38.9% ↗ | not reported | — | — |
| Toolathlon Verified | 73% ↗ | not reported | — | — |
| WeirdML (Håvard Tveit Ihle) | 75.4% ↗ | not reported | — | — |
| Z.ai Code Bench (max effort) | 34.5% ↗ | not reported | — | — |
| Only Qwen3.6-Max-Preview reports · 7 | ||||
| QwenClawBench | not reported | 59% ↗ | — | — |
| SciCode | not reported | 47% ↗ | — | — |
| SkillsBench | not reported | 55.6% ↗ | — | — |
| SuperGPQA | not reported | 73.9% ↗ | — | — |
| SWE-bench Pro | not reported | 57.3% ↗ | — | — |
| SWE-bench Verified (Epoch AI run) | not reported | 76.7% ↗epoch run | — | — |
| Terminal-Bench 2.0 (Terminus-2) | not reported | 65.4% ↗ | — | — |
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 Qwen3.6-Max-Preview 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-Max-Preview | Edge |
|---|---|---|---|
| Context window | 1M tokens | 256K tokens | GLM-5.3 |
| Max output | 131K tokens | — | — |
| Input price / 1M | $1.4 ↗ | $1.3 ↗ | Qwen3.6-Max-Preview |
| Output price / 1M | $4.4 ↗ | $7.8 ↗ | GLM-5.3 |
| Cached input / 1M | $0.26 ↗ | — | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | $5.8 | $9.1 | GLM-5.3 |
| Modalities | text | text | Tie |
| Released | 2026-08-18 | 2026-04-18 | — |
| Cited benchmark scores | 57 | 17 | — |
Reliability
Provider status
Live from /statusMore matchups
GLM-5.3 vs …
Models sharing the most benchmarksMore matchups
Qwen3.6-Max-Preview 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-Max-Preview on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.