Model comparison
Hy4 preview vs Llama 3-70B
Hy4 preview is the stronger model overall, scoring 45.3 to 28.8 on the Noometry Index.
Last verified . 0 shared benchmarks.
Tencent
MetaSummary
- The widest gap is in math, where Hy4 preview leads 55.7 to 12.8.
Side by side
| Hy4 preview | Llama 3-70B | |
|---|---|---|
| Provider | Tencent | Meta |
| Noometry Index | 45.3 | 28.8 |
| Released | 2026-08-28 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 1.05M | — |
| Max output | 64K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $2.25 | — |
| Results tracked | 3 | 31 |
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Category by category
Coding Hy4 preview leads
Hy4 preview: 51.6 (#38), Llama 3-70B: 35.8 (#218)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| LMArena WebDev | 1632 | — |
| BigCodeBench Instruct | — | 43.6% |
| LMArena Coding | — | 1206 |
| BigCodeBench Complete | — | 54.5% |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use Not comparable
Hy4 preview: —, Llama 3-70B: 21.1 (#139)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
Reasoning Hy4 preview leads
Hy4 preview: 31.9 (#79), Llama 3-70B: 18.0 (#288)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | — | 35.1% |
| NYT Connections (extended) | 68.2% | — |
| LMArena Hard Prompts | — | 1195 |
| DTBench | — | 54.2% |
| Epoch Capabilities Index | — | 122.93 |
| ForecastBench | — | 57.1 |
| WinoGrande | — | 83.5% |
Math Hy4 preview leads
Hy4 preview: 55.7 (#42), Llama 3-70B: 12.8 (#305)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 4.3% |
| ProofBench | 75% | — |
| LMArena Math | — | 1218 |
| MATH Level 5 | — | 22.6% |
Knowledge Not comparable
Hy4 preview: —, Llama 3-70B: 20.8 (#277)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| GPQA Diamond | — | 40.6% |
| LMArena Expert | — | 1149 |
| MMLU | — | 79.3% |
Multilingual Not comparable
Hy4 preview: —, Llama 3-70B: 33.6 (#251)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| LMArena Non-English | — | 1142 |
| LMArena Chinese | — | 1114 |
| LMArena French | — | 1232 |
| LMArena German | — | 1169 |
| LMArena Japanese | — | 1017 |
| LMArena Korean | — | 1017 |
| LMArena Russian | — | 1159 |
| LMArena Spanish | — | 1241 |
Instruction Following Not comparable
Hy4 preview: —, Llama 3-70B: 62.5 (#238)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | — | 1194 |
Long Context Not comparable
Hy4 preview: —, Llama 3-70B: 35.6 (#240)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | — | 1174 |
Writing & Preference Not comparable
Hy4 preview: —, Llama 3-70B: 42.8 (#231)
| Benchmark | Hy4 preview | Llama 3-70B |
|---|---|---|
| LMArena Text | — | 1221 |
| LMArena Creative Writing | — | 1210 |
| LMArena Multi-Turn | — | 1223 |
Frequently asked questions
Is Hy4 preview better than Llama 3-70B?
Hy4 preview is the stronger model overall, scoring 45.3 to 28.8 on the Noometry Index.
Is Hy4 preview or Llama 3-70B better for coding?
Hy4 preview scores higher on coding benchmarks: 51.6 versus 35.8 in the Noometry coding category.
How many benchmarks do Hy4 preview and Llama 3-70B share?
0 benchmarks have published results for both models. Hy4 preview has 3 scored results on Noometry and Llama 3-70B has 31.