Model comparison
Mixtral 8x22B vs Nemotron 4 340b Instruct
Nemotron 4 340b Instruct is the stronger model overall, scoring 35.3 to 26.7 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. Mixtral 8x22B scores higher in 0 categories and Nemotron 4 340b Instruct in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Nemotron 4 340b Instruct leads 31.4 to 15.1.
Side by side
| Mixtral 8x22B | Nemotron 4 340b Instruct | |
|---|---|---|
| Provider | Mistral AI | NVIDIA |
| Noometry Index | 26.7 | 35.3 |
| Released | 2024-04-17 | 2024-06-14 |
| Weights | Open | Open |
| Context window | 64K | — |
| Max output | 64K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $6 | — |
| Results tracked | 34 | 17 |
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Category by category
Coding Nemotron 4 340b Instruct leads
Mixtral 8x22B: 23.8 (#324), Nemotron 4 340b Instruct: 34.6 (#223)
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Coding | 1166 | 1209 |
| WeirdML | 3.2% | — |
| BigCodeBench Instruct | 40.6% | — |
| BigCodeBench Complete | 50.2% | — |
| HumanEval+ | 72% | — |
| MBPP+ | 64.3% | — |
Agentic & Tool Use Not comparable
Mixtral 8x22B: 22.8 (#119), Nemotron 4 340b Instruct: —
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| Cybench | 7.5% | — |
Reasoning Nemotron 4 340b Instruct leads
Mixtral 8x22B: 19.1 (#246), Nemotron 4 340b Instruct: 22.4 (#180)
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Hard Prompts | 1150 | 1202 |
| DTBench | 55.1% | — |
| Epoch Capabilities Index | 122 | — |
| ForecastBench | 56.3 | — |
Math Nemotron 4 340b Instruct leads
Mixtral 8x22B: 21.2 (#271), Nemotron 4 340b Instruct: 31.7 (#193)
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Math | 1184 | 1216 |
| Omni-MATH | 16.3% | — |
| MATH Level 5 | 24.2% | — |
Knowledge Nemotron 4 340b Instruct leads
Mixtral 8x22B: 15.1 (#288), Nemotron 4 340b Instruct: 31.4 (#212)
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Expert | 1113 | 1171 |
| GPQA Diamond | 34.1% | — |
| MMLU-Pro | 46% | — |
| GPQA (HELM) | 33.4% | — |
| MMLU | 77.8% | — |
Multilingual Nemotron 4 340b Instruct leads
Mixtral 8x22B: 32.9 (#250), Nemotron 4 340b Instruct: 38.0 (#228)
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Non-English | 1128 | 1206 |
| LMArena Chinese | 1116 | 1214 |
| LMArena French | 1165 | 1196 |
| LMArena German | 1141 | 1192 |
| LMArena Japanese | 1037 | 1128 |
| LMArena Korean | 1056 | 1148 |
| LMArena Russian | 1158 | 1219 |
| LMArena Spanish | 1150 | 1195 |
Instruction Following Nemotron 4 340b Instruct leads
Mixtral 8x22B: 57.9 (#261), Nemotron 4 340b Instruct: 63.3 (#227)
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Instruction Following | 1147 | 1203 |
| IFEval | 72.4% | — |
Long Context Nemotron 4 340b Instruct leads
Mixtral 8x22B: 34.6 (#242), Nemotron 4 340b Instruct: 37.1 (#216)
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Longer Query | 1144 | 1225 |
Writing & Preference Nemotron 4 340b Instruct leads
Mixtral 8x22B: 37.1 (#257), Nemotron 4 340b Instruct: 42.9 (#229)
| Benchmark | Mixtral 8x22B | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Text | 1162 | 1225 |
| LMArena Creative Writing | 1141 | 1203 |
| LMArena Multi-Turn | 1130 | 1214 |
| WildBench | 71.1% | — |
Frequently asked questions
Is Mixtral 8x22B better than Nemotron 4 340b Instruct?
Nemotron 4 340b Instruct is the stronger model overall, scoring 35.3 to 26.7 on the Noometry Index.
Is Mixtral 8x22B or Nemotron 4 340b Instruct better for coding?
Nemotron 4 340b Instruct scores higher on coding benchmarks: 34.6 versus 23.8 in the Noometry coding category.
How many benchmarks do Mixtral 8x22B and Nemotron 4 340b Instruct share?
17 benchmarks have published results for both models. Mixtral 8x22B has 34 scored results on Noometry and Nemotron 4 340b Instruct has 17.