Model comparison
Llama 3.1 Nemotron 70b Instruct vs Yi-34B
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 27.8 on the Noometry Index.
Last verified . 12 shared benchmarks.
Summary
- They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Llama 3.1 Nemotron 70b Instruct leads 34.1 to 7.5.
Side by side
| Llama 3.1 Nemotron 70b Instruct | Yi-34B | |
|---|---|---|
| Provider | NVIDIA | 01.AI |
| Noometry Index | 37.6 | 27.8 |
| Released | 2024-12-18 | 2023-11-02 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 14 | 23 |
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Category by category
Coding Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 35.9 (#216), Yi-34B: 32.3 (#274)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Yi-34B |
|---|---|---|
| LMArena Coding | 1272 | 1112 |
| BigCodeBench Instruct | 38.7% | — |
| BigCodeBench Complete | 48.2% | — |
Reasoning Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 25.0 (#152), Yi-34B: 21.2 (#226)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Yi-34B |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1104 |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | — | 117.39 |
Math Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 35.5 (#182), Yi-34B: 21.6 (#282)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Yi-34B |
|---|---|---|
| LMArena Math | 1271 | 1114 |
| MATH Level 5 | — | 5.1% |
| GSM8K | — | 76% |
Knowledge Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 34.1 (#199), Yi-34B: 7.5 (#309)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Yi-34B |
|---|---|---|
| LMArena Expert | 1242 | 1061 |
| GPQA Diamond | — | 14.7% |
| MMLU | — | 76.3% |
Multilingual Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 40.5 (#217), Yi-34B: 29.7 (#264)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Yi-34B |
|---|---|---|
| LMArena Non-English | 1245 | 1079 |
| LMArena Chinese | 1263 | 1176 |
| LMArena Russian | 1227 | 1050 |
| LMArena French | — | 1081 |
| LMArena German | — | 1042 |
| LMArena Japanese | — | 993 |
| LMArena Korean | — | 959 |
| LMArena Spanish | — | 1070 |
Instruction Following Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 65.9 (#213), Yi-34B: 56.2 (#274)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Yi-34B |
|---|---|---|
| LMArena Instruction Following | 1252 | 1091 |
Long Context Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 37.6 (#215), Yi-34B: 33.2 (#264)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Yi-34B |
|---|---|---|
| LMArena Longer Query | 1238 | 1094 |
Writing & Preference Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 48.4 (#203), Yi-34B: 34.1 (#273)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | Yi-34B |
|---|---|---|
| LMArena Text | 1283 | 1129 |
| LMArena Creative Writing | 1269 | 1108 |
| LMArena Multi-Turn | 1275 | 1113 |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than Yi-34B?
Llama 3.1 Nemotron 70b Instruct is the stronger model overall, scoring 37.6 to 27.8 on the Noometry Index.
Is Llama 3.1 Nemotron 70b Instruct or Yi-34B better for coding?
Llama 3.1 Nemotron 70b Instruct scores higher on coding benchmarks: 35.9 versus 32.3 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and Yi-34B share?
12 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and Yi-34B has 23.