Model comparison
GLM-4.5 vs Hy3
Hy3 is the stronger model overall, scoring 44.2 to 42.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
TencentSummary
- They share 17 benchmarks with published results for both. GLM-4.5 scores higher in 1 category and Hy3 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in long context, where Hy3 leads 44.1 to 38.2.
- Hy3 is cheaper at $0.0825 / $0.33 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
- Hy3 accepts more context: 262K tokens versus 131K.
Side by side
| GLM-4.5 | Hy3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Tencent |
| Noometry Index | 42.0 | 44.2 |
| Released | 2025-07-27 | 2026-07-06 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 98K | 128K |
| Input $ / M tokens | $0.60 | $0.0825 |
| Output $ / M tokens | $2.20 | $0.33 |
| Results tracked | 27 | 19 |
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Category by category
Coding Hy3 leads
GLM-4.5: 41.4 (#125), Hy3: 46.8 (#63)
| Benchmark | GLM-4.5 | Hy3 |
|---|---|---|
| LMArena Coding | 1434 | 1464 |
| SWE-bench Verified (bash only) | 54.2% | — |
| LMArena WebDev | — | 1508 |
| WeirdML | 40.6% | — |
| ALE-Bench | 344.82 | — |
| AlgoTune | 1.52 | — |
Reasoning GLM-4.5 leads
GLM-4.5: 28.6 (#100), Hy3: 26.1 (#136)
| Benchmark | GLM-4.5 | Hy3 |
|---|---|---|
| LMArena Hard Prompts | 1429 | 1447 |
| Kagi LLM Benchmark | 57.9% | — |
| NYT Connections (extended) | — | 41.2% |
Math Hy3 leads
GLM-4.5: 39.0 (#116), Hy3: 40.1 (#93)
| Benchmark | GLM-4.5 | Hy3 |
|---|---|---|
| LMArena Math | 1427 | 1475 |
Knowledge Hy3 leads
GLM-4.5: 35.9 (#179), Hy3: 40.8 (#114)
| Benchmark | GLM-4.5 | Hy3 |
|---|---|---|
| LMArena Expert | 1433 | 1460 |
| Humanity's Last Exam | 8.3% | — |
| Confabulations | 11.3% | — |
Multilingual Too close to call
GLM-4.5: 52.8 (#77), Hy3: 53.5 (#65)
| Benchmark | GLM-4.5 | Hy3 |
|---|---|---|
| LMArena Non-English | 1417 | 1426 |
| LMArena Chinese | 1465 | 1493 |
| LMArena French | 1418 | 1461 |
| LMArena German | 1407 | 1439 |
| LMArena Japanese | 1415 | 1392 |
| LMArena Korean | 1380 | 1395 |
| LMArena Russian | 1414 | 1432 |
| LMArena Spanish | 1454 | 1456 |
Instruction Following Hy3 leads
GLM-4.5: 74.1 (#104), Hy3: 75.1 (#70)
| Benchmark | GLM-4.5 | Hy3 |
|---|---|---|
| LMArena Instruction Following | 1404 | 1426 |
Long Context Hy3 leads
GLM-4.5: 38.2 (#201), Hy3: 44.1 (#75)
| Benchmark | GLM-4.5 | Hy3 |
|---|---|---|
| LMArena Longer Query | 1412 | 1442 |
| Fiction.LiveBench | 58.3% | — |
Writing & Preference Hy3 leads
GLM-4.5: 57.5 (#127), Hy3: 62.2 (#81)
| Benchmark | GLM-4.5 | Hy3 |
|---|---|---|
| LMArena Text | 1430 | 1439 |
| LMArena Creative Writing | 1395 | 1402 |
| LMArena Multi-Turn | 1415 | 1436 |
| Short-Story Creative Writing | 73.4% | — |
| EQ-Bench Creative Writing | 1343 | — |
Frequently asked questions
Is GLM-4.5 better than Hy3?
Hy3 is the stronger model overall, scoring 44.2 to 42.0 on the Noometry Index.
Which is cheaper, GLM-4.5 or Hy3?
Hy3 is cheaper. It lists at $0.0825 per million input tokens and $0.33 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.
Is GLM-4.5 or Hy3 better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 41.4 in the Noometry coding category.
Which has the bigger context window?
Hy3 does, with 262K tokens against 131K.
How many benchmarks do GLM-4.5 and Hy3 share?
17 benchmarks have published results for both models. GLM-4.5 has 27 scored results on Noometry and Hy3 has 19.