Model comparison
Nemotron 4 340b Instruct vs Yi-1.5-34B
Nemotron 4 340b Instruct is the stronger model overall, scoring 35.3 to 30.2 on the Noometry Index.
Last verified . 17 shared benchmarks.
NVIDIASummary
- They share 17 benchmarks with published results for both. Nemotron 4 340b Instruct scores higher in 8 categories and Yi-1.5-34B in 0 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Nemotron 4 340b Instruct leads 31.4 to 14.8.
Side by side
| Nemotron 4 340b Instruct | Yi-1.5-34B | |
|---|---|---|
| Provider | NVIDIA | 01.AI |
| Noometry Index | 35.3 | 30.2 |
| Released | 2024-06-14 | 2024-05-13 |
| Weights | Open | Open |
| Context window | — | — |
| Max output | — | — |
| Input $ / M tokens | — | — |
| Output $ / M tokens | — | — |
| Results tracked | 17 | 21 |
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Category by category
Coding Nemotron 4 340b Instruct leads
Nemotron 4 340b Instruct: 34.6 (#223), Yi-1.5-34B: 31.9 (#267)
| Benchmark | Nemotron 4 340b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Coding | 1209 | 1169 |
| BigCodeBench Instruct | — | 33.9% |
| BigCodeBench Complete | — | 43.8% |
Reasoning Too close to call
Nemotron 4 340b Instruct: 22.4 (#180), Yi-1.5-34B: 21.5 (#195)
| Benchmark | Nemotron 4 340b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Hard Prompts | 1202 | 1160 |
Math Nemotron 4 340b Instruct leads
Nemotron 4 340b Instruct: 31.7 (#193), Yi-1.5-34B: 25.3 (#248)
| Benchmark | Nemotron 4 340b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Math | 1216 | 1182 |
| MATH Level 5 | — | 25.5% |
Knowledge Nemotron 4 340b Instruct leads
Nemotron 4 340b Instruct: 31.4 (#212), Yi-1.5-34B: 14.8 (#290)
| Benchmark | Nemotron 4 340b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Expert | 1171 | 1144 |
| GPQA Diamond | — | 32% |
Multilingual Nemotron 4 340b Instruct leads
Nemotron 4 340b Instruct: 38.0 (#228), Yi-1.5-34B: 32.5 (#251)
| Benchmark | Nemotron 4 340b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Non-English | 1206 | 1121 |
| LMArena Chinese | 1214 | 1213 |
| LMArena French | 1196 | 1155 |
| LMArena German | 1192 | 1111 |
| LMArena Japanese | 1128 | 1021 |
| LMArena Korean | 1148 | 1005 |
| LMArena Russian | 1219 | 1091 |
| LMArena Spanish | 1195 | 1120 |
Instruction Following Nemotron 4 340b Instruct leads
Nemotron 4 340b Instruct: 63.3 (#227), Yi-1.5-34B: 59.4 (#252)
| Benchmark | Nemotron 4 340b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Instruction Following | 1203 | 1139 |
Long Context Nemotron 4 340b Instruct leads
Nemotron 4 340b Instruct: 37.1 (#216), Yi-1.5-34B: 34.6 (#243)
| Benchmark | Nemotron 4 340b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Longer Query | 1225 | 1144 |
Writing & Preference Nemotron 4 340b Instruct leads
Nemotron 4 340b Instruct: 42.9 (#229), Yi-1.5-34B: 37.6 (#252)
| Benchmark | Nemotron 4 340b Instruct | Yi-1.5-34B |
|---|---|---|
| LMArena Text | 1225 | 1173 |
| LMArena Creative Writing | 1203 | 1135 |
| LMArena Multi-Turn | 1214 | 1153 |
Frequently asked questions
Is Nemotron 4 340b Instruct better than Yi-1.5-34B?
Nemotron 4 340b Instruct is the stronger model overall, scoring 35.3 to 30.2 on the Noometry Index.
Is Nemotron 4 340b Instruct or Yi-1.5-34B better for coding?
Nemotron 4 340b Instruct scores higher on coding benchmarks: 34.6 versus 31.9 in the Noometry coding category.
How many benchmarks do Nemotron 4 340b Instruct and Yi-1.5-34B share?
17 benchmarks have published results for both models. Nemotron 4 340b Instruct has 17 scored results on Noometry and Yi-1.5-34B has 21.