Model comparison
Hy3 vs Llama 3.1-405B
Hy3 is the stronger model overall, scoring 44.2 to 30.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Tencent
MetaSummary
- They share 17 benchmarks with published results for both. Hy3 scores higher in 8 categories and Llama 3.1-405B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Hy3 leads 62.2 to 38.9.
Side by side
| Hy3 | Llama 3.1-405B | |
|---|---|---|
| Provider | Tencent | Meta |
| Noometry Index | 44.2 | 30.7 |
| Released | 2026-07-06 | 2024-07-23 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.0825 | — |
| Output $ / M tokens | $0.33 | — |
| Results tracked | 19 | 42 |
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Category by category
Coding Hy3 leads
Hy3: 46.8 (#63), Llama 3.1-405B: 33.1 (#262)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| LMArena Coding | 1464 | 1291 |
| LMArena WebDev | 1508 | — |
| WeirdML | — | 21.4% |
Agentic & Tool Use Not comparable
Hy3: —, Llama 3.1-405B: 21.0 (#140)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
Reasoning Hy3 leads
Hy3: 26.1 (#136), Llama 3.1-405B: 16.8 (#300)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| LMArena Hard Prompts | 1447 | 1269 |
| SimpleBench | — | 23% |
| Kagi LLM Benchmark | — | 45% |
| NYT Connections (extended) | 41.2% | — |
| DTBench | — | 61.4% |
| BIG-Bench Hard | — | 82.9% |
| Epoch Capabilities Index | — | 128.75 |
| ForecastBench | — | 59.9 |
| HellaSwag | — | 89.2% |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math Hy3 leads
Hy3: 40.1 (#93), Llama 3.1-405B: 18.4 (#290)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| LMArena Math | 1475 | 1281 |
| OTIS Mock AIME 2024-2025 | — | 9.7% |
| Omni-MATH | — | 24.9% |
| MATH Level 5 | — | 49.8% |
Knowledge Hy3 leads
Hy3: 40.8 (#114), Llama 3.1-405B: 30.4 (#227)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| LMArena Expert | 1460 | 1243 |
| GPQA Diamond | — | 50.9% |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 17.6% |
| GPQA (HELM) | — | 52.2% |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 84.5% |
| TriviaQA | — | 82.7% |
Multilingual Hy3 leads
Hy3: 53.5 (#65), Llama 3.1-405B: 40.7 (#214)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1426 | 1248 |
| LMArena Chinese | 1493 | 1242 |
| LMArena French | 1461 | 1279 |
| LMArena German | 1439 | 1252 |
| LMArena Japanese | 1392 | 1208 |
| LMArena Korean | 1395 | 1184 |
| LMArena Russian | 1432 | 1265 |
| LMArena Spanish | 1456 | 1260 |
Instruction Following Hy3 leads
Hy3: 75.1 (#70), Llama 3.1-405B: 65.9 (#214)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| LMArena Instruction Following | 1426 | 1259 |
| IFEval | — | 81.1% |
Long Context Hy3 leads
Hy3: 44.1 (#75), Llama 3.1-405B: 38.4 (#197)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1442 | 1266 |
Writing & Preference Hy3 leads
Hy3: 62.2 (#81), Llama 3.1-405B: 38.9 (#251)
| Benchmark | Hy3 | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1439 | 1284 |
| LMArena Creative Writing | 1402 | 1262 |
| LMArena Multi-Turn | 1436 | 1297 |
| EQ-Bench Creative Writing | — | 870 |
| WildBench | — | 78.3% |
Frequently asked questions
Is Hy3 better than Llama 3.1-405B?
Hy3 is the stronger model overall, scoring 44.2 to 30.7 on the Noometry Index.
Is Hy3 or Llama 3.1-405B better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 33.1 in the Noometry coding category.
How many benchmarks do Hy3 and Llama 3.1-405B share?
17 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Llama 3.1-405B has 42.