Model comparison
Llama 3.2 1B vs Yi-Large
Llama 3.2 1B has enough public results to be ranked (#354); Yi-Large does not yet, so treat this comparison as directional.
Last verified . 2 shared benchmarks.
MetaSummary
- They share 2 benchmarks with published results for both. Llama 3.2 1B scores higher in 0 categories and Yi-Large in 1 category; one gap is clear of the uncertainty.
- The widest gap is in coding, where Yi-Large leads 36.7 to 21.1.
- The biggest single-benchmark swing is BigCodeBench Complete: 11.3% for Llama 3.2 1B and 47.2% for Yi-Large.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| Llama 3.2 1B | Yi-Large | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 20.1 | 38.1 |
| Released | 2024-09-24 | 2024-05-13 |
| Weights | Open | Proprietary |
| Context window | 60K | — |
| Max output | 54K | — |
| Input $ / M tokens | $0.027 | — |
| Output $ / M tokens | $0.20 | — |
| Results tracked | 22 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Yi-Large leads
Llama 3.2 1B: 21.1 (#338), Yi-Large: 36.7 (#203)
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| BigCodeBench Instruct | 8.2% | 37.7% |
| BigCodeBench Complete | 11.3% | 47.2% |
| LMArena Coding | 1070 | — |
Agentic & Tool Use Not comparable
Llama 3.2 1B: 14.6 (#150), Yi-Large: —
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | 10.8% | — |
| BALROG | 6.6% | — |
Reasoning Not comparable
Llama 3.2 1B: 16.2 (#308), Yi-Large: —
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| Chess Puzzles | 0% | — |
| LMArena Hard Prompts | 1044 | — |
| Epoch Capabilities Index | 101.99 | — |
Math Not comparable
Llama 3.2 1B: 10.4 (#313), Yi-Large: —
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | — |
| LMArena Math | 1086 | — |
Knowledge Not comparable
Llama 3.2 1B: 7.2 (#312), Yi-Large: —
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| GPQA Diamond | 23.9% | — |
| LMArena Expert | 1007 | — |
| MMLU | — | 79.3% |
Multilingual Not comparable
Llama 3.2 1B: 23.8 (#292), Yi-Large: —
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| LMArena Non-English | 973 | — |
| LMArena Chinese | 959 | — |
| LMArena German | 1014 | — |
| LMArena Russian | 941 | — |
Instruction Following Not comparable
Llama 3.2 1B: 52.4 (#290), Yi-Large: —
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| LMArena Instruction Following | 1031 | — |
Long Context Not comparable
Llama 3.2 1B: 31.9 (#274), Yi-Large: —
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1050 | — |
Writing & Preference Not comparable
Llama 3.2 1B: 21.3 (#310), Yi-Large: —
| Benchmark | Llama 3.2 1B | Yi-Large |
|---|---|---|
| LMArena Text | 1055 | — |
| LMArena Creative Writing | 1033 | — |
| EQ-Bench Creative Writing | 200 | — |
| LMArena Multi-Turn | 1030 | — |
Frequently asked questions
Is Llama 3.2 1B better than Yi-Large?
Llama 3.2 1B has enough public results to be ranked (#354); Yi-Large does not yet, so treat this comparison as directional.
Is Llama 3.2 1B or Yi-Large better for coding?
Yi-Large scores higher on coding benchmarks: 36.7 versus 21.1 in the Noometry coding category.
How many benchmarks do Llama 3.2 1B and Yi-Large share?
2 benchmarks have published results for both models. Llama 3.2 1B has 22 scored results on Noometry and Yi-Large has 3.