Model comparison
GLM-5 vs Hy3
GLM-5 is the stronger model overall, scoring 46.1 to 44.2 on the Noometry Index. Hy3 costs 6.7× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
TencentSummary
- They share 19 benchmarks with published results for both. GLM-5 scores higher in 8 categories and Hy3 in 0 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GLM-5 leads 52.3 to 40.8.
- The biggest single-benchmark swing is NYT Connections (extended): 74.8% for GLM-5 and 41.2% for Hy3.
- Hy3 is cheaper at $0.13 / $0.53 per million input/output tokens, against $1 / $3.20 for GLM-5.
- Hy3 accepts more context: 262K tokens versus 205K.
Side by side
| GLM-5 | Hy3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Tencent |
| Noometry Index | 46.1 | 44.2 |
| Released | 2026-02-11 | 2026-07-06 |
| Weights | Open | Open |
| Context window | 205K | 262K |
| Max output | 131K | 128K |
| Input $ / M tokens | $1 | $0.13 |
| Output $ / M tokens | $3.20 | $0.53 |
| Results tracked | 45 | 19 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GLM-5 leads
GLM-5: 49.0 (#52), Hy3: 46.8 (#63)
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| LMArena WebDev | 1434 | 1508 |
| LMArena Coding | 1461 | 1464 |
| SWE-bench Verified | 72.1% | — |
| SWE-bench Verified (bash only) | 72.8% | — |
| SWE-bench Multilingual | 69.7% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 765.62 | — |
Agentic & Tool Use Not comparable
GLM-5: 31.1 (#71), Hy3: —
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| Terminal-Bench | 52.4% | — |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 9.8% | — |
| τ²-bench Retail | 73.7% | — |
| τ²-bench Telecom | 86.8% | — |
| Vending-Bench 2 | 4,432 | — |
Reasoning GLM-5 leads
GLM-5: 27.6 (#116), Hy3: 26.1 (#136)
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| NYT Connections (extended) | 74.8% | 41.2% |
| LMArena Hard Prompts | 1452 | 1447 |
| ARC-AGI-2 | 4.9% | — |
| SimpleBench | 53.2% | — |
| Kagi LLM Benchmark | 75% | — |
| ARC-AGI-1 | 44.7% | — |
| Chess Puzzles | 10% | — |
| Epoch Capabilities Index | 145.83 | — |
| ForecastBench | 61 | — |
Math GLM-5 leads
GLM-5: 46.4 (#71), Hy3: 40.1 (#93)
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| LMArena Math | 1440 | 1475 |
| MathArena Final-Answer Competitions | 65.7% | — |
| OTIS Mock AIME 2024-2025 | 80% | — |
| FrontierMath (Feb 2025 set) | 16.4% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GLM-5 leads
GLM-5: 52.3 (#64), Hy3: 40.8 (#114)
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| LMArena Expert | 1454 | 1460 |
| GPQA Diamond | 87.8% | — |
| Vectara Hallucination Rate | 10.1% | — |
Multilingual Too close to call
GLM-5: 53.7 (#58), Hy3: 53.5 (#65)
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| LMArena Non-English | 1430 | 1426 |
| LMArena Chinese | 1511 | 1493 |
| LMArena French | 1455 | 1461 |
| LMArena German | 1445 | 1439 |
| LMArena Japanese | 1416 | 1392 |
| LMArena Korean | 1423 | 1395 |
| LMArena Russian | 1436 | 1432 |
| LMArena Spanish | 1454 | 1456 |
Instruction Following Too close to call
GLM-5: 75.2 (#67), Hy3: 75.1 (#70)
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| LMArena Instruction Following | 1428 | 1426 |
Long Context Too close to call
GLM-5: 44.7 (#60), Hy3: 44.1 (#75)
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| LMArena Longer Query | 1446 | 1442 |
| CL-bench | 18.7% | — |
Writing & Preference GLM-5 leads
GLM-5: 66.0 (#38), Hy3: 62.2 (#81)
| Benchmark | GLM-5 | Hy3 |
|---|---|---|
| LMArena Text | 1446 | 1439 |
| LMArena Creative Writing | 1439 | 1402 |
| LMArena Multi-Turn | 1456 | 1436 |
| EQ-Bench Creative Writing | 1601 | — |
Frequently asked questions
Is GLM-5 better than Hy3?
GLM-5 is the stronger model overall, scoring 46.1 to 44.2 on the Noometry Index. Hy3 costs 6.7× less per token, which makes it the better buy when GLM-5's lead doesn't matter for your workload.
Which is cheaper, GLM-5 or Hy3?
Hy3 is cheaper. It lists at $0.13 per million input tokens and $0.53 per million output tokens; GLM-5 lists at $1 and $3.20.
Is GLM-5 or Hy3 better for coding?
GLM-5 scores higher on coding benchmarks: 49.0 versus 46.8 in the Noometry coding category.
Which has the bigger context window?
Hy3 does, with 262K tokens against 205K.
How many benchmarks do GLM-5 and Hy3 share?
19 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Hy3 has 19.