Compare / head-to-head
GLM-5.3vsHy3
GLM-5.3 leads 3 of 3 shared benchmarks. 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
3 – 0
GLM-5.3 leads
Cheaper per token
—
list price, input + output
Larger context
GLM-5.3
1M tokens
Provider uptime (30d)
— · —
Z.ai · Tencent Hunyuan
GLM-5.3
Z.ai · released 2026-08-14
text
Hy3
Tencent Hunyuan · released 2026-07-06
text
- Context
- 256K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 41 · 8 core
Quality
Benchmark matrix
3 shared · 21 only GLM-5.3 · 38 only Hy3| Benchmark | GLM-5.3 | Hy3 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 3 | ||||
| GPQA Diamond | 90.9% ↗epoch | 90.4% ↗ | +0.5 pt | GLM-5.3 |
| NL2Repo | 58% ↗ | 45.6% ↗ | +12.4 pt | GLM-5.3 |
| Terminal-Bench 2.1 | 88.2% ↗ | 71.7% ↗ | +16.5 pt | GLM-5.3 |
| Only GLM-5.3 reports · 21 | ||||
| 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 | — | — |
| 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 3.0 | 28.3% ↗ | not reported | — | — |
| Toolathlon Verified | 73% ↗ | not reported | — | — |
| Z.ai Code Bench (max effort) | 34.5% ↗ | not reported | — | — |
| Only Hy3 reports · 38 | ||||
| SWE-bench Verified | not reported | 78% ↗ | — | — |
| Humanity's Last Exam (no tools) | not reported | 37% ↗ | — | — |
| LMArena Elo | not reported | 1440.6 ↗ | — | — |
| AA-LCR | not reported | 73.4% ↗ | — | — |
| Apex-Agent | not reported | 25.6% ↗ | — | — |
| ArxivMath | not reported | 52.2% ↗ | — | — |
| BrowseComp | not reported | 84.2% ↗ | — | — |
| CL-bench | not reported | 23.8% ↗ | — | — |
| CL-bench Life | not reported | 17% ↗ | — | — |
| ClawEval | not reported | 68.5% ↗ | — | — |
| CMT-Benchmark | not reported | 37.8% ↗ | — | — |
| DeepSearchQA | not reported | 91% ↗ | — | — |
| DeepSWE | not reported | 28% ↗ | — | — |
| e-bench | not reported | 50.2% ↗ | — | — |
| FrontierScience-Olympiad | not reported | 74.8% ↗ | — | — |
| FrontierScience-Research | not reported | 21.3% ↗ | — | — |
| HLE (with tools, text-only) | not reported | 53.2% ↗ | — | — |
| HorizonMath | not reported | 7.1% ↗ | — | — |
| Hy-Backend 2.0 | not reported | 25% ↗ | — | — |
| Hy-CompanyBench | not reported | 41.7% ↗ | — | — |
| Hy-Euler Pro | not reported | 24.2% ↗ | — | — |
| Hy-FinModelBench | not reported | 69% ↗ | — | — |
| Hy-Math | not reported | 60.9% ↗ | — | — |
| Hy-SkillsWorld | not reported | 45.8% ↗ | — | — |
| Hy-SWE Max | not reported | 49% ↗ | — | — |
| IMOAnswerBench | not reported | 90% ↗ | — | — |
| MathArena Apex | not reported | 38.7% ↗ | — | — |
| MCP Atlas | not reported | 79.1% ↗ | — | — |
| PHYBench | not reported | 77.4% ↗ | — | — |
| ProdBench | not reported | 23% ↗ | — | — |
| SkillsBench | not reported | 55.3% ↗ | — | — |
| SuperChem | not reported | 54.9% ↗ | — | — |
| SWE-bench Multilingual | not reported | 75.8% ↗ | — | — |
| SWE-bench Pro | not reported | 57.9% ↗ | — | — |
| Toolathlon | not reported | 48.5% ↗ | — | — |
| USAMO 2026 | not reported | 72% ↗ | — | — |
| WideSearch | not reported | 76.4% ↗ | — | — |
| WildClawBench | not reported | 53.6% ↗ | — | — |
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 Hy3 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 | Hy3 | Edge |
|---|---|---|---|
| Context window | 1M tokens | 256K tokens | GLM-5.3 |
| 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 | Tie |
| Released | 2026-08-14 | 2026-07-06 | — |
| Cited benchmark scores | 33 | 41 | — |
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
Hy3 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 Hy3 on your own prompts with Respan evals, or route to either through one gateway key with automatic failover.