Model comparison
Llama 3.2 1B vs Yi-1.5-34B
Yi-1.5-34B is the stronger model overall, scoring 30.6 to 20.1 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and Yi-1.5-34B in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Yi-1.5-34B leads 27.5 to 10.4.
- The biggest single-benchmark swing is BigCodeBench Complete: 11.3% for Llama 3.2 1B and 43.8% for Yi-1.5-34B.
Side by side
| Llama 3.2 1B | Yi-1.5-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 20.1 | 30.6 |
| Released | 2024-09-24 | 2024-05-13 |
| Weights | Open | Open |
| Context window | 60K | — |
| Max output | 54K | — |
| Input $ / M tokens | $0.027 | — |
| Output $ / M tokens | $0.20 | — |
| Results tracked | 22 | 21 |
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Category by category
Coding Yi-1.5-34B leads
Llama 3.2 1B: 21.1 (#338), Yi-1.5-34B: 32.4 (#272)
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| BigCodeBench Instruct | 8.2% | 33.9% |
| LMArena Coding | 1070 | 1169 |
| BigCodeBench Complete | 11.3% | 43.8% |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.6 (#150), Yi-1.5-34B: —
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Yi-1.5-34B leads
Llama 3.2 1B: 16.2 (#308), Yi-1.5-34B: 22.5 (#191)
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1044 | 1160 |
| Chess Puzzles | 0% | — |
| Epoch Capabilities Index | 101.99 | — |
Math Yi-1.5-34B leads
Llama 3.2 1B: 10.4 (#313), Yi-1.5-34B: 27.5 (#249)
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1086 | 1182 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| MATH Level 5 | — | 25.5% |
Knowledge Yi-1.5-34B leads
Llama 3.2 1B: 7.2 (#312), Yi-1.5-34B: 14.8 (#295)
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| GPQA Diamond | 23.9% | 32% |
| LMArena Expert | 1007 | 1144 |
Multilingual Yi-1.5-34B leads
Llama 3.2 1B: 23.8 (#292), Yi-1.5-34B: 32.3 (#256)
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 973 | 1121 |
| LMArena Chinese | 959 | 1213 |
| LMArena German | 1014 | 1111 |
| LMArena Russian | 941 | 1091 |
| LMArena French | — | 1156 |
| LMArena Japanese | — | 1021 |
| LMArena Korean | — | 1005 |
| LMArena Spanish | — | 1121 |
Instruction Following Yi-1.5-34B leads
Llama 3.2 1B: 52.4 (#290), Yi-1.5-34B: 59.2 (#257)
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1031 | 1139 |
Long Context Yi-1.5-34B leads
Llama 3.2 1B: 31.9 (#274), Yi-1.5-34B: 34.6 (#248)
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1050 | 1143 |
Writing & Preference Yi-1.5-34B leads
Llama 3.2 1B: 21.3 (#310), Yi-1.5-34B: 37.4 (#257)
| Benchmark | Llama 3.2 1B | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1055 | 1173 |
| LMArena Creative Writing | 1033 | 1135 |
| LMArena Multi-Turn | 1030 | 1153 |
| EQ-Bench Creative Writing | 200 | — |
Frequently asked questions
Is Llama 3.2 1B better than Yi-1.5-34B?
Yi-1.5-34B is the stronger model overall, scoring 30.6 to 20.1 on the Noometry Index.
Is Llama 3.2 1B or Yi-1.5-34B better for coding?
Yi-1.5-34B scores higher on coding benchmarks: 32.4 versus 21.1 in the Noometry coding category.
How many benchmarks do Llama 3.2 1B and Yi-1.5-34B share?
16 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Yi-1.5-34B has 21.