Model comparison
Llama 3.2 3B vs Yi-1.5-34B
Yi-1.5-34B is the stronger model overall, scoring 30.6 to 28.9 on the Noometry Index.
Last verified . 15 shared benchmarks.
MetaSummary
- They share 15 benchmarks with published results for both. Llama 3.2 3B scores higher in 2 categories and Yi-1.5-34B in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.2 3B leads 29.7 to 14.8.
- The biggest single-benchmark swing is BigCodeBench Complete: 28.3% for Llama 3.2 3B and 43.8% for Yi-1.5-34B.
Side by side
| Llama 3.2 3B | Yi-1.5-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 28.9 | 30.6 |
| Released | 2024-09-24 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 118K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.33 | — |
| Results tracked | 18 | 21 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-1.5-34B leads
Llama 3.2 3B: 27.6 (#319), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 23.4% | 33.9% |
| LMArena Coding | 1098 | 1169 |
| BigCodeBench Complete | 28.3% | 43.8% |
Agentic & Tool Use Not comparable
Llama 3.2 3B: 20.1 (#143), Yi-1.5-34B: —
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |
Reasoning Yi-1.5-34B leads
Llama 3.2 3B: 21.0 (#228), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1095 | 1160 |
Math Llama 3.2 3B leads
Llama 3.2 3B: 32.4 (#214), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1126 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Llama 3.2 3B leads
Llama 3.2 3B: 29.7 (#235), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1090 | 1144 |
| GPQA Diamond | — | 32% |
Multilingual Yi-1.5-34B leads
Llama 3.2 3B: 26.2 (#281), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1019 | 1121 |
| LMArena Chinese | 1017 | 1213 |
| LMArena German | 1056 | 1111 |
| LMArena Russian | 949 | 1091 |
| LMArena French | — | 1156 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Spanish | — | 1121 |
Instruction Following Yi-1.5-34B leads
Llama 3.2 3B: 56.0 (#275), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1089 | 1139 |
Long Context Yi-1.5-34B leads
Llama 3.2 3B: 33.4 (#261), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1100 | 1143 |
Writing & Preference Yi-1.5-34B leads
Llama 3.2 3B: 24.7 (#307), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Llama 3.2 3B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1110 | 1173 |
| LMArena Creative Writing | 1094 | 1135 |
| LMArena Multi-Turn | 1105 | 1153 |
| EQ-Bench Creative Writing | 595 | — |
Frequently asked questions
Is Llama 3.2 3B better than Yi-1.5-34B?
Yi-1.5-34B is the stronger model overall, scoring 30.6 to 28.9 on the Noometry Index.
Is Llama 3.2 3B or Yi-1.5-34B better for coding?
Yi-1.5-34B scores higher on coding benchmarks: 32.4 versus 27.6 in the Noometry coding category.
How many benchmarks do Llama 3.2 3B and Yi-1.5-34B share?
15 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Yi-1.5-34B has 21.