Model comparison
Llama 3-70B vs Yi-1.5-34B
Yi-1.5-34B is the stronger model overall, scoring 30.2 to 28.5 on the Noometry Index.
Last verified . 21 shared benchmarks.
MetaSummary
- They share 21 benchmarks with published results for both. Llama 3-70B scores higher in 6 categories and Yi-1.5-34B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Yi-1.5-34B leads 25.3 to 12.0.
- The biggest single-benchmark swing is BigCodeBench Complete: 54.5% for Llama 3-70B and 43.8% for Yi-1.5-34B.
Side by side
| Llama 3-70B | Yi-1.5-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 28.5 | 30.2 |
| Released | 2024-04-18 | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 31 | 21 |
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Category by category
Coding Llama 3-70B leads
Llama 3-70B: 35.3 (#215), Yi-1.5-34B: 31.9 (#267)
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 43.6% | 33.9% |
| LMArena Coding | 1206 | 1169 |
| BigCodeBench Complete | 54.5% | 43.8% |
| HumanEval+ | 72% | — |
| MBPP+ | 69% | — |
Agentic & Tool Use Not comparable
Llama 3-70B: 20.9 (#132), Yi-1.5-34B: —
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| Cybench | 5% | — |
Reasoning Yi-1.5-34B leads
Llama 3-70B: 17.4 (#284), Yi-1.5-34B: 21.5 (#195)
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1195 | 1160 |
| Kagi LLM Benchmark | 35.1% | — |
| DTBench | 54.2% | — |
| Epoch Capabilities Index | 122.91 | — |
| ForecastBench | 57.1 | — |
| WinoGrande | 83.5% | — |
Math Yi-1.5-34B leads
Llama 3-70B: 12.0 (#299), Yi-1.5-34B: 25.3 (#248)
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1218 | 1182 |
| MATH Level 5 | 22.6% | 25.5% |
| OTIS Mock AIME 2024-2025 | 4.3% | — |
Knowledge Llama 3-70B leads
Llama 3-70B: 20.8 (#272), Yi-1.5-34B: 14.8 (#290)
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 40.6% | 32% |
| LMArena Expert | 1149 | 1144 |
| MMLU | 79.3% | — |
Multilingual Llama 3-70B leads
Llama 3-70B: 33.8 (#246), Yi-1.5-34B: 32.5 (#251)
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1142 | 1121 |
| LMArena Chinese | 1114 | 1213 |
| LMArena French | 1231 | 1155 |
| LMArena German | 1169 | 1111 |
| LMArena Japanese | 1017 | 1021 |
| LMArena Korean | 1017 | 1005 |
| LMArena Russian | 1159 | 1091 |
| LMArena Spanish | 1241 | 1120 |
Instruction Following Llama 3-70B leads
Llama 3-70B: 62.8 (#233), Yi-1.5-34B: 59.4 (#252)
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1194 | 1139 |
Long Context Too close to call
Llama 3-70B: 35.6 (#235), Yi-1.5-34B: 34.6 (#243)
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1174 | 1144 |
Writing & Preference Llama 3-70B leads
Llama 3-70B: 43.0 (#225), Yi-1.5-34B: 37.6 (#252)
| Benchmark | Llama 3-70B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1221 | 1173 |
| LMArena Creative Writing | 1210 | 1135 |
| LMArena Multi-Turn | 1223 | 1153 |
Frequently asked questions
Is Llama 3-70B better than Yi-1.5-34B?
Yi-1.5-34B is the stronger model overall, scoring 30.2 to 28.5 on the Noometry Index.
Is Llama 3-70B or Yi-1.5-34B better for coding?
Llama 3-70B scores higher on coding benchmarks: 35.3 versus 31.9 in the Noometry coding category.
How many benchmarks do Llama 3-70B and Yi-1.5-34B share?
21 benchmarks have published results for both models. Llama 3-70B has 31 scored results on Noometry and Yi-1.5-34B has 21.