Model comparison
Llama 3.2 3B vs Yi-34B
Llama 3.2 3B is the stronger model overall, scoring 28.9 to 27.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
MetaSummary
- They share 13 benchmarks with published results for both. Llama 3.2 3B scores higher in 3 categories and Yi-34B in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.2 3B leads 29.7 to 7.5.
Side by side
| Llama 3.2 3B | Yi-34B | |
|---|---|---|
| Provider | Meta | 01.AI |
| Noometry Index | 28.9 | 27.8 |
| Released | 2024-09-24 | 2023-11-02 |
| Weights | Open | Open |
| Context window | 131K | — |
| Max output | 118K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.33 | — |
| Results tracked | 18 | 23 |
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Category by category
Coding Yi-34B leads
Llama 3.2 3B: 27.6 (#319), Yi-34B: 32.3 (#274)
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| LMArena Coding | 1098 | 1112 |
| BigCodeBench Instruct | 23.4% | — |
| BigCodeBench Complete | 28.3% | — |
Agentic & Tool Use Not comparable
Llama 3.2 3B: 20.1 (#143), Yi-34B: —
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 21.9% | — |
| BALROG | 10.1% | — |
Reasoning Too close to call
Llama 3.2 3B: 21.0 (#228), Yi-34B: 21.2 (#226)
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1095 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Llama 3.2 3B leads
Llama 3.2 3B: 32.4 (#214), Yi-34B: 21.6 (#282)
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| LMArena Math | 1126 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Llama 3.2 3B leads
Llama 3.2 3B: 29.7 (#235), Yi-34B: 7.5 (#309)
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| LMArena Expert | 1090 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multilingual Yi-34B leads
Llama 3.2 3B: 26.2 (#281), Yi-34B: 29.7 (#264)
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| LMArena Non-English | 1019 | 1079 |
| LMArena Chinese | 1017 | 1176 |
| LMArena German | 1056 | 1042 |
| LMArena Russian | 949 | 1050 |
| LMArena French | — | 1081 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following Too close to call
Llama 3.2 3B: 56.0 (#275), Yi-34B: 56.2 (#274)
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1089 | 1091 |
Long Context Too close to call
Llama 3.2 3B: 33.4 (#261), Yi-34B: 33.2 (#264)
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1100 | 1094 |
Writing & Preference Yi-34B leads
Llama 3.2 3B: 24.7 (#307), Yi-34B: 34.1 (#273)
| Benchmark | Llama 3.2 3B | Yi-34B |
|---|---|---|
| LMArena Text | 1110 | 1129 |
| LMArena Creative Writing | 1094 | 1108 |
| LMArena Multi-Turn | 1105 | 1113 |
| EQ-Bench Creative Writing | 595 | — |
Frequently asked questions
Is Llama 3.2 3B better than Yi-34B?
Llama 3.2 3B is the stronger model overall, scoring 28.9 to 27.8 on the Noometry Index.
Is Llama 3.2 3B or Yi-34B better for coding?
Yi-34B scores higher on coding benchmarks: 32.3 versus 27.6 in the Noometry coding category.
How many benchmarks do Llama 3.2 3B and Yi-34B share?
13 benchmarks have published results for both models. Llama 3.2 3B has 18 scored results on Noometry and Yi-34B has 23.