Model comparison
Hunyuan Standard 2025 02 10 vs Llama 3-8B
Hunyuan Standard 2025 02 10 is the stronger model overall, scoring 37.9 to 25.5 on the Noometry Index.
Last verified . 12 shared benchmarks.
Tencent
MetaSummary
- They share 12 benchmarks with published results for both. Hunyuan Standard 2025 02 10 scores higher in 8 categories and Llama 3-8B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Hunyuan Standard 2025 02 10 leads 35.6 to 8.8.
- Llama 3-8B has downloadable open weights; the other is API-only.
Side by side
| Hunyuan Standard 2025 02 10 | Llama 3-8B | |
|---|---|---|
| Provider | Tencent | Meta |
| Noometry Index | 37.9 | 25.5 |
| Released | — | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 12 | 34 |
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Category by category
Coding Hunyuan Standard 2025 02 10 leads
Hunyuan Standard 2025 02 10: 37.1 (#197), Llama 3-8B: 31.0 (#289)
| Benchmark | Hunyuan Standard 2025 02 10 | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1270 | 1152 |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Reasoning Hunyuan Standard 2025 02 10 leads
Hunyuan Standard 2025 02 10: 25.0 (#154), Llama 3-8B: 14.3 (#326)
| Benchmark | Hunyuan Standard 2025 02 10 | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1264 | 1133 |
| Chess Puzzles | — | 0% |
| DTBench | — | 43.9% |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.45 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Hunyuan Standard 2025 02 10 leads
Hunyuan Standard 2025 02 10: 35.6 (#179), Llama 3-8B: 8.8 (#323)
| Benchmark | Hunyuan Standard 2025 02 10 | Llama 3-8B |
|---|---|---|
| LMArena Math | 1274 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| MATH Level 5 | — | 6.1% |
Knowledge Hunyuan Standard 2025 02 10 leads
Hunyuan Standard 2025 02 10: 34.2 (#197), Llama 3-8B: 7.8 (#308)
| Benchmark | Hunyuan Standard 2025 02 10 | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1248 | 1113 |
| GPQA Diamond | — | 26.1% |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Hunyuan Standard 2025 02 10 leads
Hunyuan Standard 2025 02 10: 41.7 (#203), Llama 3-8B: 30.8 (#261)
| Benchmark | Hunyuan Standard 2025 02 10 | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1262 | 1098 |
| LMArena Chinese | 1319 | 1076 |
| LMArena Russian | 1258 | 1109 |
| LMArena French | — | 1159 |
| LMArena German | — | 1104 |
| LMArena Japanese | — | 967 |
| LMArena Korean | — | 1004 |
| LMArena Spanish | — | 1173 |
Instruction Following Hunyuan Standard 2025 02 10 leads
Hunyuan Standard 2025 02 10: 65.5 (#219), Llama 3-8B: 58.4 (#260)
| Benchmark | Hunyuan Standard 2025 02 10 | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1245 | 1127 |
Long Context Hunyuan Standard 2025 02 10 leads
Hunyuan Standard 2025 02 10: 39.5 (#173), Llama 3-8B: 34.2 (#251)
| Benchmark | Hunyuan Standard 2025 02 10 | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1301 | 1128 |
Writing & Preference Hunyuan Standard 2025 02 10 leads
Hunyuan Standard 2025 02 10: 47.2 (#214), Llama 3-8B: 37.5 (#256)
| Benchmark | Hunyuan Standard 2025 02 10 | Llama 3-8B |
|---|---|---|
| LMArena Text | 1274 | 1166 |
| LMArena Creative Writing | 1242 | 1150 |
| LMArena Multi-Turn | 1275 | 1152 |
Frequently asked questions
Is Hunyuan Standard 2025 02 10 better than Llama 3-8B?
Hunyuan Standard 2025 02 10 is the stronger model overall, scoring 37.9 to 25.5 on the Noometry Index.
Is Hunyuan Standard 2025 02 10 or Llama 3-8B better for coding?
Hunyuan Standard 2025 02 10 scores higher on coding benchmarks: 37.1 versus 31.0 in the Noometry coding category.
How many benchmarks do Hunyuan Standard 2025 02 10 and Llama 3-8B share?
12 benchmarks have published results for both models. Hunyuan Standard 2025 02 10 has 12 scored results on Noometry and Llama 3-8B has 34.