Model comparison
Mistral Large vs Nemotron 3 Super
Nemotron 3 Super is the stronger model overall, scoring 40.1 to 31.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
Mistral AI
NVIDIASummary
- They share 18 benchmarks with published results for both. Mistral Large scores higher in 0 categories and Nemotron 3 Super in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where Nemotron 3 Super leads 39.6 to 18.2.
- Nemotron 3 Super is cheaper at $0.08 / $0.45 per million input/output tokens, against $2 / $6 for Mistral Large.
- Nemotron 3 Super accepts more context: 262K tokens versus 131K.
Side by side
| Mistral Large | Nemotron 3 Super | |
|---|---|---|
| Provider | Mistral AI | NVIDIA |
| Noometry Index | 31.9 | 40.1 |
| Released | 2024-02-26 | 2026-03-11 |
| Weights | Open | Open |
| Context window | 131K | 262K |
| Max output | 16K | 131K |
| Input $ / M tokens | $2 | $0.08 |
| Output $ / M tokens | $6 | $0.45 |
| Results tracked | 51 | 21 |
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Category by category
Coding Nemotron 3 Super leads
Mistral Large: 34.3 (#240), Nemotron 3 Super: 39.4 (#158)
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| SciCode | 36.2% | 36% |
| LMArena Coding | 1277 | 1403 |
| ALE-Bench | 264.7 | 213.9 |
| WeirdML | — | 38% |
| BigCodeBench Instruct | 30% | — |
| LiveBench Coding | 47.1% | — |
| BigCodeBench Complete | 38.3% | — |
| HumanEval+ | 62.2% | — |
| MBPP+ | 59.5% | — |
Agentic & Tool Use Not comparable
Mistral Large: 28.6 (#89), Nemotron 3 Super: —
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| Berkeley Function Calling Leaderboard | 38.4% | — |
Reasoning Nemotron 3 Super leads
Mistral Large: 15.8 (#310), Nemotron 3 Super: 18.7 (#276)
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| CritPt | 0% | 3.1% |
| LMArena Hard Prompts | 1257 | 1386 |
| SimpleBench | 22.5% | — |
| NYT Connections (extended) | — | 15.4% |
| LiveBench Reasoning | 43.5% | — |
| DTBench | 65.1% | — |
| LiveBench Data Analysis | 50.1% | — |
| LMCA | 16.7% | — |
| Epoch Capabilities Index | 128.52 | — |
| ForecastBench | 57.1 | — |
| LiveBench | 48.4% | — |
Math Nemotron 3 Super leads
Mistral Large: 18.2 (#291), Nemotron 3 Super: 39.6 (#101)
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| LMArena Math | 1262 | 1380 |
| MathArena Final-Answer Competitions | — | 60.4% |
| OTIS Mock AIME 2024-2025 | 8.5% | — |
| Omni-MATH | 28.1% | — |
| LiveBench Math | 42.5% | — |
| MATH Level 5 | 50.3% | — |
| FrontierMath (Feb 2025 set) | 0.3% | — |
Knowledge Nemotron 3 Super leads
Mistral Large: 30.1 (#230), Nemotron 3 Super: 38.9 (#139)
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| LMArena Expert | 1232 | 1398 |
| GPQA Diamond | 51.3% | — |
| MMLU-Pro | 59.9% | — |
| Confabulations | 21.4% | — |
| Vectara Hallucination Rate | 4.5% | — |
| GPQA (HELM) | 43.5% | — |
| MMLU | 80% | — |
Multilingual Nemotron 3 Super leads
Mistral Large: 40.0 (#219), Nemotron 3 Super: 48.4 (#144)
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| LMArena Non-English | 1237 | 1355 |
| LMArena Chinese | 1240 | 1432 |
| LMArena French | 1325 | 1405 |
| LMArena German | 1254 | 1341 |
| LMArena Russian | 1257 | 1336 |
| LMArena Spanish | 1268 | 1417 |
| LMArena Japanese | 1188 | — |
| LMArena Korean | 1202 | — |
Instruction Following Nemotron 3 Super leads
Mistral Large: 67.9 (#191), Nemotron 3 Super: 71.2 (#154)
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| LMArena Instruction Following | 1249 | 1347 |
| LiveBench Instruction Following | 67.9% | — |
| IFEval | 87.7% | — |
Long Context Nemotron 3 Super leads
Mistral Large: 38.3 (#199), Nemotron 3 Super: 41.5 (#139)
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| LMArena Longer Query | 1261 | 1362 |
Writing & Preference Nemotron 3 Super leads
Mistral Large: 40.7 (#242), Nemotron 3 Super: 55.9 (#140)
| Benchmark | Mistral Large | Nemotron 3 Super |
|---|---|---|
| LMArena Text | 1266 | 1378 |
| LMArena Creative Writing | 1243 | 1317 |
| LMArena Multi-Turn | 1260 | 1369 |
| Short-Story Creative Writing | 69% | — |
| EQ-Bench Creative Writing | 985 | — |
| WildBench | 80.1% | — |
| LiveBench Language | 39.4% | — |
Frequently asked questions
Is Mistral Large better than Nemotron 3 Super?
Nemotron 3 Super is the stronger model overall, scoring 40.1 to 31.9 on the Noometry Index.
Which is cheaper, Mistral Large or Nemotron 3 Super?
Nemotron 3 Super is cheaper. It lists at $0.08 per million input tokens and $0.45 per million output tokens; Mistral Large lists at $2 and $6.
Is Mistral Large or Nemotron 3 Super better for coding?
Nemotron 3 Super scores higher on coding benchmarks: 39.4 versus 34.3 in the Noometry coding category.
Which has the bigger context window?
Nemotron 3 Super does, with 262K tokens against 131K.
How many benchmarks do Mistral Large and Nemotron 3 Super share?
18 benchmarks have published results for both models. Mistral Large has 51 scored results on Noometry and Nemotron 3 Super has 21.