Model comparison
Llama 3.2 1B vs Yi-34B
Yi-34B is the stronger model overall, scoring 27.8 to 20.1 on the Noometry Index.
Last verified . 15 shared benchmarks.
MetaSummary
- They share 15 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and Yi-34B in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Yi-34B leads 34.1 to 21.3.
- The biggest single-benchmark swing is GPQA Diamond: 23.9% for Llama 3.2 1B and 14.7% for Yi-34B.
Side by side
| Llama 3.2 1B | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 20.1 | 27.8 |
| Released | 2024-09-24 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 60K | — |
| Max output | 54K | — |
| Input $ / M tokens | $0.027 | — |
| Output $ / M tokens | $0.20 | — |
| Results tracked | 22 | 23 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-34B leads
Llama 3.2 1B: 21.1 (#338), Yi-34B: 32.3 (#274)
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| LMArena Coding | 1070 | 1112 |
| BigCodeBench Instruct | 8.2% | — |
| BigCodeBench Complete | 11.3% | — |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.6 (#150), Yi-34B: —
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Yi-34B leads
Llama 3.2 1B: 16.2 (#308), Yi-34B: 21.2 (#226)
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1044 | 1104 |
| Epoch Capabilities Index | 101.99 | 117.39 |
| Chess Puzzles | 0% | — |
| BIG-Bench Hard | — | 71.7% |
Math Yi-34B leads
Llama 3.2 1B: 10.4 (#313), Yi-34B: 21.6 (#282)
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| LMArena Math | 1086 | 1114 |
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Too close to call
Llama 3.2 1B: 7.2 (#312), Yi-34B: 7.5 (#309)
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| GPQA Diamond | 23.9% | 14.7% |
| LMArena Expert | 1007 | 1061 |
| MMLU | — | 76.3% |
Multilingual Yi-34B leads
Llama 3.2 1B: 23.8 (#292), Yi-34B: 29.7 (#264)
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| LMArena Non-English | 973 | 1079 |
| LMArena Chinese | 959 | 1176 |
| LMArena German | 1014 | 1042 |
| LMArena Russian | 941 | 1050 |
| LMArena French | — | 1081 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following Yi-34B leads
Llama 3.2 1B: 52.4 (#290), Yi-34B: 56.2 (#274)
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1031 | 1091 |
Long Context Yi-34B leads
Llama 3.2 1B: 31.9 (#274), Yi-34B: 33.2 (#264)
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1050 | 1094 |
Writing & Preference Yi-34B leads
Llama 3.2 1B: 21.3 (#310), Yi-34B: 34.1 (#273)
| Benchmark | Llama 3.2 1B | Yi-34B |
|---|---|---|
| LMArena Text | 1055 | 1129 |
| LMArena Creative Writing | 1033 | 1108 |
| LMArena Multi-Turn | 1030 | 1113 |
| EQ-Bench Creative Writing | 200 | — |
Frequently asked questions
Is Llama 3.2 1B better than Yi-34B?
Yi-34B is the stronger model overall, scoring 27.8 to 20.1 on the Noometry Index.
Is Llama 3.2 1B or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 21.1 in the Noometry coding category.
How many benchmarks do Llama 3.2 1B and Yi-34B share?
15 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Yi-34B has 23.