Model comparison
Llama 3.1 Nemotron 70b Instruct vs MiMo-V2-Pro
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 37.0 on the Noometry Index.
Last verified . 12 shared benchmarks.
NVIDIASummary
- They share 12 benchmarks with published results for both. Llama 3.1 Nemotron 70b Instruct scores higher in 1 category and MiMo-V2-Pro in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where MiMo-V2-Pro leads 62.9 to 48.6.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro | |
|---|---|---|
| Provider | NVIDIA | Xiaomi |
| Noometry Index | 37.0 | 42.4 |
| Released | 2024-12-18 | 2026-03-18 |
| Weights | Open | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 131K |
| Input $ / M tokens | — | $0.43 |
| Output $ / M tokens | — | $0.87 |
| Results tracked | 14 | 23 |
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Category by category
Coding MiMo-V2-Pro leads
Llama 3.1 Nemotron 70b Instruct: 35.3 (#212), MiMo-V2-Pro: 43.4 (#76)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro |
|---|---|---|
| LMArena Coding | 1272 | 1476 |
| LMArena WebDev | — | 1433 |
| BigCodeBench Instruct | 38.7% | — |
| BigCodeBench Complete | 48.2% | — |
| ALE-Bench | — | 785.17 |
Reasoning Llama 3.1 Nemotron 70b Instruct leads
Llama 3.1 Nemotron 70b Instruct: 24.0 (#156), MiMo-V2-Pro: 21.3 (#200)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro |
|---|---|---|
| LMArena Hard Prompts | 1266 | 1457 |
| NYT Connections (extended) | — | 25.8% |
| Thematic Generalization | — | 45.9% |
Math MiMo-V2-Pro leads
Llama 3.1 Nemotron 70b Instruct: 32.9 (#182), MiMo-V2-Pro: 36.7 (#104)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro |
|---|---|---|
| LMArena Math | 1271 | 1447 |
Knowledge MiMo-V2-Pro leads
Llama 3.1 Nemotron 70b Instruct: 33.5 (#194), MiMo-V2-Pro: 40.8 (#106)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro |
|---|---|---|
| LMArena Expert | 1242 | 1479 |
Multilingual MiMo-V2-Pro leads
Llama 3.1 Nemotron 70b Instruct: 40.7 (#212), MiMo-V2-Pro: 52.9 (#77)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro |
|---|---|---|
| LMArena Non-English | 1245 | 1416 |
| LMArena Chinese | 1263 | 1455 |
| LMArena Russian | 1227 | 1427 |
| LMArena French | — | 1470 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1366 |
| LMArena Korean | — | 1401 |
| LMArena Spanish | — | 1458 |
Instruction Following MiMo-V2-Pro leads
Llama 3.1 Nemotron 70b Instruct: 66.2 (#208), MiMo-V2-Pro: 76.2 (#46)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro |
|---|---|---|
| LMArena Instruction Following | 1252 | 1444 |
Long Context MiMo-V2-Pro leads
Llama 3.1 Nemotron 70b Instruct: 37.5 (#210), MiMo-V2-Pro: 41.5 (#133)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro |
|---|---|---|
| LMArena Longer Query | 1239 | 1455 |
| CL-bench | — | 15.7% |
| CL-bench Life | — | 6.9% |
Writing & Preference MiMo-V2-Pro leads
Llama 3.1 Nemotron 70b Instruct: 48.6 (#197), MiMo-V2-Pro: 62.9 (#67)
| Benchmark | Llama 3.1 Nemotron 70b Instruct | MiMo-V2-Pro |
|---|---|---|
| LMArena Text | 1283 | 1436 |
| LMArena Creative Writing | 1269 | 1415 |
| LMArena Multi-Turn | 1275 | 1456 |
Frequently asked questions
Is Llama 3.1 Nemotron 70b Instruct better than MiMo-V2-Pro?
MiMo-V2-Pro is the stronger model overall, scoring 42.4 to 37.0 on the Noometry Index.
Is Llama 3.1 Nemotron 70b Instruct or MiMo-V2-Pro better for coding?
MiMo-V2-Pro scores higher on coding benchmarks: 43.4 versus 35.3 in the Noometry coding category.
How many benchmarks do Llama 3.1 Nemotron 70b Instruct and MiMo-V2-Pro share?
12 benchmarks have published results for both models. Llama 3.1 Nemotron 70b Instruct has 14 scored results on Noometry and MiMo-V2-Pro has 23.