Model comparison
Hy3 vs Llama 2-70B
Hy3 is the stronger model overall, scoring 44.2 to 24.4 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 2-70B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Hy3 leads 40.8 to 7.4.
Side by side
| Hy3 | Llama 2-70B | |
|---|---|---|
| Provider | Tencent | Meta |
| Noometry Index | 44.2 | 24.4 |
| Released | 2026-07-06 | 2023-07-18 |
| Weights | Open | Open |
| Context window | 262K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.13 | — |
| Output $ / M tokens | $0.53 | — |
| Results tracked | 19 | 35 |
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Category by category
Coding Hy3 leads
Hy3: 46.8 (#63), Llama 2-70B: 31.4 (#286)
| Benchmark | Hy3 | Llama 2-70B |
|---|---|---|
| LMArena Coding | 1464 | 1079 |
| LMArena WebDev | 1508 | — |
Reasoning Hy3 leads
Hy3: 26.1 (#136), Llama 2-70B: 14.4 (#325)
| Benchmark | Hy3 | Llama 2-70B |
|---|---|---|
| LMArena Hard Prompts | 1447 | 1073 |
| NYT Connections (extended) | 41.2% | — |
| DTBench | — | 41.6% |
| BIG-Bench Hard | — | 64.9% |
| CommonsenseQA 2.0 | — | 50% |
| Epoch Capabilities Index | — | 113.79 |
| ForecastBench | — | 51.4 |
| HellaSwag | — | 85.3% |
| LAMBADA | — | 78.9% |
| PIQA | — | 82.8% |
| WinoGrande | — | 80.2% |
Math Hy3 leads
Hy3: 40.1 (#93), Llama 2-70B: 8.1 (#326)
| Benchmark | Hy3 | Llama 2-70B |
|---|---|---|
| LMArena Math | 1475 | 1091 |
| OTIS Mock AIME 2024-2025 | — | 0% |
| MATH Level 5 | — | 3.3% |
| GSM8K | — | 69.6% |
Knowledge Hy3 leads
Hy3: 40.8 (#114), Llama 2-70B: 7.4 (#310)
| Benchmark | Hy3 | Llama 2-70B |
|---|---|---|
| LMArena Expert | 1460 | 1039 |
| GPQA Diamond | — | 26.3% |
| ARC (AI2) Challenge | — | 78.3% |
| BoolQ | — | 88.6% |
| MMLU | — | 69.9% |
| OpenBookQA | — | 60.2% |
| TriviaQA | — | 87.6% |
Multilingual Hy3 leads
Hy3: 53.5 (#65), Llama 2-70B: 27.7 (#274)
| Benchmark | Hy3 | Llama 2-70B |
|---|---|---|
| LMArena Non-English | 1426 | 1045 |
| LMArena Chinese | 1493 | 995 |
| LMArena French | 1461 | 1090 |
| LMArena German | 1439 | 1041 |
| LMArena Japanese | 1392 | 927 |
| LMArena Korean | 1395 | 964 |
| LMArena Russian | 1432 | 1083 |
| LMArena Spanish | 1456 | 1143 |
Instruction Following Hy3 leads
Hy3: 75.1 (#70), Llama 2-70B: 54.9 (#278)
| Benchmark | Hy3 | Llama 2-70B |
|---|---|---|
| LMArena Instruction Following | 1426 | 1071 |
Long Context Hy3 leads
Hy3: 44.1 (#75), Llama 2-70B: 32.3 (#270)
| Benchmark | Hy3 | Llama 2-70B |
|---|---|---|
| LMArena Longer Query | 1442 | 1062 |
Writing & Preference Hy3 leads
Hy3: 62.2 (#81), Llama 2-70B: 32.3 (#279)
| Benchmark | Hy3 | Llama 2-70B |
|---|---|---|
| LMArena Text | 1439 | 1115 |
| LMArena Creative Writing | 1402 | 1075 |
| LMArena Multi-Turn | 1436 | 1088 |
Frequently asked questions
Is Hy3 better than Llama 2-70B?
Hy3 is the stronger model overall, scoring 44.2 to 24.4 on the Noometry Index.
Is Hy3 or Llama 2-70B better for coding?
Hy3 scores higher on coding benchmarks: 46.8 versus 31.4 in the Noometry coding category.
How many benchmarks do Hy3 and Llama 2-70B share?
17 benchmarks have published results for both models. Hy3 has 19 scored results on Noometry and Llama 2-70B has 35.