Mistral Large vs Nemotron 3 Super
Nemotron 3 Super leads Mistral Large on the Artificial Analysis Intelligence Index, 12.8 to 5.8, and Nemotron 3 Super costs 13.3x less per output token ($0.45 vs $6.00 per million). Updated October 22, 2026; 29 benchmarks have a result for both.
Mistral Large or Nemotron 3 Super: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Large for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
- Shared results
- 29
- Mistral Large only
- 15
- Nemotron 3 Super only
- 9
- Like-for-like categories
- 6 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Nemotron 3 Super
Nemotron 3 Super leads, 12.8 against 5.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Nemotron 3 Super has a AA Agentic Index result, 1.7.
Directional only
Reasoning
GPQA Diamond
No call
Only Mistral Large has a GPQA Diamond result, 47.7%.
Directional only
Math
AIME
No call
Only Mistral Large has a AIME result, 9.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Mistral Large has a MMLU Pro result, 69.7%.
Directional only
Long documents
Listed context window
Nemotron 3 Super
Nemotron 3 Super takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Super
Mistral Large $0.0050, Nemotron 3 Super $0.0003 per turn.
List prices
At a glance
- Coding index
- Mistral Large not benchmarked, Nemotron 3 Super not benchmarked.
- Widest category
- Reasoning, 27.4 points apart on average over 5 shared benchmarks.
- Widest single gap
- GPQA Diamond (Artificial Analysis run): Mistral Large 35.1% against Nemotron 3 Super 80.0%, 44.9 points apart on a 0 to 100 scale.
- Output price
- Mistral Large $6.00 against Nemotron 3 Super $0.45 per million output tokens, 13.3x apart.
- Context window
- Mistral Large takes 128K tokens, Nemotron 3 Super 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Mistral Large | Bars | Nemotron 3 Super | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 15 | ||
| All shared boards | 0 | 29 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 37.7 | Only Nemotron 3 Super measured |
| LiveCodeBench (Vals AI) | 37.1% | Not measured | Only Mistral Large measured |
| LiveCodeBench (Artificial Analysis run) | 17.8% | Not measured | Only Mistral Large measured |
| SciCode | Not measured | 36.2% | Only Nemotron 3 Super measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 28.8% | Only Nemotron 3 Super measured |
| WeirdML | Not measured | 38.0% | Only Nemotron 3 Super measured |
| ALE-Bench | Not measured | 213.9 | Only Nemotron 3 Super measured |
| LMArena Text: coding | 1275 | 1403 | Nemotron 3 Super |
| LMArena Text: software and IT | 1274 | 1409 | Nemotron 3 Super |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.8 | 12.8 | Nemotron 3 Super |
| Epoch Capabilities Index | 122.1 | Not measured | Only Mistral Large measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 1.7 | Only Nemotron 3 Super measured |
| τ²-Bench Telecom | Not measured | 67.8% | Only Nemotron 3 Super measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| GPQA Diamond | 47.7% | Not measured | Only Mistral Large measured |
| GPQA Diamond (Artificial Analysis run) | 35.1% | 80.0% | Nemotron 3 Super |
| Humanity's Last Exam (Artificial Analysis run) | 3.5% | 20.8% | Nemotron 3 Super |
| LMArena Text: hard prompts | 1257 | 1386 | Nemotron 3 Super |
| LMArena Text: expert | 1208 | 1398 | Nemotron 3 Super |
| LMArena Text: hard prompts in English | 1268 | 1397 | Nemotron 3 Super |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| AIME | 9.2% | Not measured | Only Mistral Large measured |
| MATH 500 (Vals AI) | 74.4% | Not measured | Only Mistral Large measured |
| MGSM (Vals AI) | 87.2% | Not measured | Only Mistral Large measured |
| LMArena Text: math | 1261 | 1380 | Nemotron 3 Super |
| LMArena Text: mathematical work | 1257 | 1405 | Nemotron 3 Super |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| MMLU Pro | 69.7% | Not measured | Only Mistral Large measured |
| TaxEval (Vals AI) | 63.8% | Not measured | Only Mistral Large measured |
| MedQA (Vals AI) | 76.2% | Not measured | Only Mistral Large measured |
| MMLU Pro (Artificial Analysis run) | 51.5% | Not measured | Only Mistral Large measured |
| MMLU | 68.8% | Not measured | Only Mistral Large measured |
| LMArena Text: science | 1260 | 1387 | Nemotron 3 Super |
| LMArena Text: medicine and healthcare | 1255 | 1383 | Nemotron 3 Super |
| LMArena Text: legal and government | 1275 | 1392 | Nemotron 3 Super |
| LMArena Text: business and finance | 1238 | 1364 | Nemotron 3 Super |
| Neither model has a result on the other 9 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| IFBench | Not measured | 71.5% | Only Nemotron 3 Super measured |
| Long context reasoning (AA-LCR) | Not measured | 65.7% | Only Nemotron 3 Super measured |
| DTBench | 60.8% | Not measured | Only Mistral Large measured |
| LMArena Text | 1265 | 1378 | Nemotron 3 Super |
| LMArena Text: instruction following | 1249 | 1347 | Nemotron 3 Super |
| LMArena Text: creative writing | 1242 | 1317 | Nemotron 3 Super |
| LMArena Text: English | 1284 | 1400 | Nemotron 3 Super |
| LMArena Text: non-English | 1235 | 1356 | Nemotron 3 Super |
| LMArena Text: Chinese | 1239 | 1431 | Nemotron 3 Super |
| LMArena Text: German | 1242 | 1341 | Nemotron 3 Super |
| LMArena Text: Japanese | 1170 | Not measured | Only Mistral Large measured |
| LMArena Text: Korean | 1202 | Not measured | Only Mistral Large measured |
| LMArena Text: French | 1325 | 1403 | Nemotron 3 Super |
| LMArena Text: Spanish | 1268 | 1418 | Nemotron 3 Super |
| LMArena Text: Russian | 1252 | 1336 | Nemotron 3 Super |
| LMArena Text: Polish | 1157 | 1346 | Nemotron 3 Super |
| LMArena Text: multi-turn | 1260 | 1369 | Nemotron 3 Super |
| LMArena Text: longer queries | 1261 | 1362 | Nemotron 3 Super |
| LMArena Text: writing and language | 1261 | 1332 | Nemotron 3 Super |
| LMArena Text: entertainment and media | 1230 | 1336 | Nemotron 3 Super |
| Neither model has a result on the other 26 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large | Nemotron 3 Super | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Nemotron 3 Super costs less
Repository review
50K input + 3K output tokens
Nemotron 3 Super costs less
Agent loop
200K input + 10K output tokens
Nemotron 3 Super costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Mistral Large | NVIDIA Nemotron 3 Super |
|---|---|---|
| Maker | Mistral AI | NVIDIA |
| Weights | No public weights listed | Open weights |
| Released | February 26, 2024 | March 11, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $2.00 | $0.085 |
| Output $/Mtok | $6.00 | $0.45 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large better than Nemotron 3 Super for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Large for work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.
Which is cheaper, Mistral Large or Nemotron 3 Super?
Mistral Large costs $2.00 per million input tokens and $6.00 per million output tokens; Nemotron 3 Super costs $0.085 and $0.45. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Large or Nemotron 3 Super?
Nemotron 3 Super, with 262K tokens against 128K.
How many benchmarks is the Mistral Large vs Nemotron 3 Super comparison based on?
29 benchmarks have a result for both models as of October 22, 2026. Mistral Large's coding index rests on 0 independent benchmarks and Nemotron 3 Super's on 0. Where only one model has a result, the page says so instead of naming a winner.