Mistral Large 4 vs Nemotron 3 Ultra
Mistral Large 4 leads Nemotron 3 Ultra on coding, 56.4 to 30.0 on the Vibe Coding Index, and Nemotron 3 Ultra costs 1.7x less per output token ($2.40 vs $4.18 per million). Updated October 23, 2026; 51 benchmarks have a result for both.
Mistral Large 4 or Nemotron 3 Ultra: which to pick
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra.
Pick Nemotron 3 Ultra for output tokens 1.7x cheaper ($2.40 vs $4.18 per million) and work measured by LMArena Text: software and IT or Mystery game puzzles, where it leads.
- Shared results
- 51
- Mistral Large 4 only
- 32
- Nemotron 3 Ultra only
- 20
- Like-for-like categories
- 8 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
Mistral Large 4
Mistral Large 4 scores 56.4 against 30.0.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 22.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Nemotron 3 Ultra has a AA Agentic Index result, 20.1.
Directional only
Reasoning
GPQA Diamond
No call
Only Nemotron 3 Ultra has a GPQA Diamond result, 86.1%.
Directional only
Knowledge
MMLU Pro
No call
Only Nemotron 3 Ultra has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1258 against 1145.
Same board, both measured
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Ultra
Mistral Large 4 $0.0034, Nemotron 3 Ultra $0.0018 per turn.
List prices
At a glance
- Coding index
- Mistral Large 4 56.4 from 5 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
- Widest category
- Coding, 25.4 points apart on average over 6 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Mistral Large 4 78.4% against Nemotron 3 Ultra 7.6%, 70.8 points apart on a 0 to 100 scale.
- Output price
- Mistral Large 4 $4.18 against Nemotron 3 Ultra $2.40 per million output tokens, 1.7x apart.
- Context window
- Mistral Large 4 takes 1.05M tokens, Nemotron 3 Ultra 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 4 | Bars | Nemotron 3 Ultra | Ties |
|---|---|---|---|---|
| Coding | 5 | 1 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 3 | 0 | ||
| Reasoning | 2 | 4 | ||
| Math | 4 | 0 | ||
| Knowledge | 2 | 3 | ||
| Web design | 8 | 0 | ||
| General | 6 | 11 | ||
| All shared boards | 32 | 19 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index51
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| LiveBench coding | 60.0% | Not measured | Only Mistral Large 4 measured |
| LMArena WebDev | 1543 | Not measured | Only Mistral Large 4 measured |
| AA Coding Index | Not measured | 49.3 | Only Nemotron 3 Ultra measured |
| LiveCodeBench (Vals AI) | Not measured | 86.0% | Only Nemotron 3 Ultra measured |
| SWE-bench Verified (Vals AI) | Not measured | 69.0% | Only Nemotron 3 Ultra measured |
| Terminal-Bench 4 (Vals AI) | 27.8% | Not measured | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 78.4% | 7.6% | Mistral Large 4 |
| Code migration (Vals AI) | 30.6% | 4.9% | Mistral Large 4 |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Nemotron 3 Ultra measured |
| IOI (Vals AI) | 45.3% | Not measured | Only Mistral Large 4 measured |
| Terminal-Bench 2.1 (Vals AI) | Not measured | 50.9% | Only Nemotron 3 Ultra measured |
| SWE-bench Multimodal (Vals AI) | 33.1% | Not measured | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | 14.3% | Not measured | Only Mistral Large 4 measured |
| SciCode | 54.2% | 40.3% | Mistral Large 4 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 36.4% | Only Nemotron 3 Ultra measured |
| FrontierCode | 39.4% | 13.6% | Mistral Large 4 |
| WeirdML | Not measured | 43.5% | Only Nemotron 3 Ultra measured |
| ALE-Bench | 1213.2 | Not measured | Only Mistral Large 4 measured |
| LMArena Text: coding | 1480 | 1467 | Mistral Large 4 |
| LMArena Text: software and IT | 1468 | 1468 | Nemotron 3 Ultra |
| LMArena WebDev: React | 1558 | Not measured | Only Mistral Large 4 measured |
| LMArena WebDev: HTML | 1495 | Not measured | Only Mistral Large 4 measured |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 38.4 | 22.9 | Mistral Large 4 |
| Epoch Capabilities Index | 150.0 | 146.0 | Mistral Large 4 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 20.1 | Only Nemotron 3 Ultra measured |
| LiveBench research | 28.1% | Not measured | Only Mistral Large 4 measured |
| LiveBench browser | 8.0% | Not measured | Only Mistral Large 4 measured |
| LiveBench long agentic | 11.8% | Not measured | Only Mistral Large 4 measured |
| Finance Agent (Vals AI) | 54.7% | 37.7% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 30.4% | Not measured | Only Mistral Large 4 measured |
| Legal Research Bench (Vals AI) | 31.7% | 15.4% | Mistral Large 4 |
| Harvey's Legal Agent Benchmark (Vals AI) | 17.5% | Not measured | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 56.2% | 31.7% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Mistral Large 4 measured |
| τ²-Bench Telecom | Not measured | 83.3% | Only Nemotron 3 Ultra measured |
| APEX-Agents | Not measured | 22.7% | Only Nemotron 3 Ultra measured |
| MCP Atlas | Not measured | 63.1% | Only Nemotron 3 Ultra measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 86.1% | Only Nemotron 3 Ultra measured |
| LiveBench reasoning | 83.9% | Not measured | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | 12.2% | Not measured | Only Mistral Large 4 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 86.7% | Only Nemotron 3 Ultra measured |
| Humanity's Last Exam (Artificial Analysis run) | 35.0% | 28.4% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 88.1% | 85.4% | Mistral Large 4 |
| Chess puzzles | 33.0% | Not measured | Only Mistral Large 4 measured |
| Mystery game puzzles | 17.0% | 20.0% | Nemotron 3 Ultra |
| LMArena Text: hard prompts | 1446 | 1452 | Nemotron 3 Ultra |
| LMArena Text: expert | 1449 | 1472 | Nemotron 3 Ultra |
| LMArena Text: hard prompts in English | 1443 | 1453 | Nemotron 3 Ultra |
| LMArena Vision: diagrams | 1288 | Not measured | Only Mistral Large 4 measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.3% | 86.7% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 58.6% | Not measured | Only Mistral Large 4 measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Mistral Large 4 measured |
| ProofBench | 10.0% | 2.0% | Mistral Large 4 |
| LMArena Text: math | 1467 | 1457 | Mistral Large 4 |
| LMArena Text: mathematical work | 1467 | 1462 | Mistral Large 4 |
| MathArena | 26.7% | Not measured | Only Mistral Large 4 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 85.8% | Only Nemotron 3 Ultra measured |
| LegalBench (Vals AI) | Not measured | 82.1% | Only Nemotron 3 Ultra measured |
| CorpFin (Vals AI) | Not measured | 65.5% | Only Nemotron 3 Ultra measured |
| TaxEval (Vals AI) | Not measured | 73.1% | Only Nemotron 3 Ultra measured |
| MedCode (Vals AI) | 40.7% | 38.6% | Mistral Large 4 |
| SimpleQA Verified | 20.0% | Not measured | Only Mistral Large 4 measured |
| LMArena Text: science | 1445 | 1465 | Nemotron 3 Ultra |
| LMArena Text: medicine and healthcare | 1432 | 1455 | Nemotron 3 Ultra |
| LMArena Text: legal and government | 1427 | 1453 | Nemotron 3 Ultra |
| LMArena Text: business and finance | 1441 | 1435 | Mistral Large 4 |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Design Arena: websites | 1258 | 1145 | Mistral Large 4 |
| Design Arena: UI components | 1273 | 1135 | Mistral Large 4 |
| Design Arena: game dev | 1226 | 1138 | Mistral Large 4 |
| Design Arena: data viz | 1275 | 1142 | Mistral Large 4 |
| Design Arena: 3D | 1252 | 1132 | Mistral Large 4 |
| Design Arena: all code categories | 1259 | 1146 | Mistral Large 4 |
| Design Arena: SVG | 1232 | 1069 | Mistral Large 4 |
| Design Arena: ASCII art | 1202 | 1100 | Mistral Large 4 |
| LiveBench design | 65.6% | Not measured | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index611
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.5% | Not measured | Only Mistral Large 4 measured |
| MedScribe (Vals AI) | 80.4% | Not measured | Only Mistral Large 4 measured |
| IFBench | Not measured | 81.4% | Only Nemotron 3 Ultra measured |
| Long context reasoning (AA-LCR) | 81.3% | 79.3% | Mistral Large 4 |
| DTBench | 88.2% | 90.1% | Nemotron 3 Ultra |
| LMCA | 35.8% | 36.9% | Nemotron 3 Ultra |
| Surface Evolver Bench | 28.1% | Not measured | Only Mistral Large 4 measured |
| Furniture assembly | 20.8% | Not measured | Only Mistral Large 4 measured |
| LMArena Text | 1432 | 1445 | Nemotron 3 Ultra |
| LMArena Text: instruction following | 1424 | 1418 | Mistral Large 4 |
| LMArena Text: creative writing | 1364 | 1398 | Nemotron 3 Ultra |
| LMArena Vision | 1272 | Not measured | Only Mistral Large 4 measured |
| LMArena Text: English | 1433 | 1454 | Nemotron 3 Ultra |
| LMArena Text: non-English | 1423 | 1427 | Nemotron 3 Ultra |
| LMArena Text: Chinese | 1494 | 1498 | Nemotron 3 Ultra |
| LMArena Text: German | Not measured | 1474 | Only Nemotron 3 Ultra measured |
| LMArena Text: Japanese | 1411 | Not measured | Only Mistral Large 4 measured |
| LMArena Text: Korean | 1366 | 1385 | Nemotron 3 Ultra |
| LMArena Text: French | 1489 | 1473 | Mistral Large 4 |
| LMArena Text: Spanish | 1469 | 1454 | Mistral Large 4 |
| LMArena Text: Russian | 1418 | 1417 | Mistral Large 4 |
| LMArena Text: Polish | Not measured | 1385 | Only Nemotron 3 Ultra measured |
| LMArena Text: multi-turn | 1441 | 1411 | Mistral Large 4 |
| LMArena Text: longer queries | 1429 | 1437 | Nemotron 3 Ultra |
| LMArena Text: writing and language | 1387 | 1405 | Nemotron 3 Ultra |
| LMArena Text: entertainment and media | 1377 | 1397 | Nemotron 3 Ultra |
| LMArena Vision: English | 1283 | Not measured | Only Mistral Large 4 measured |
| LMArena Vision: reading text | 1284 | Not measured | Only Mistral Large 4 measured |
| Neither model has a result on the other 20 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Large 4 | Nemotron 3 Ultra | 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 Ultra costs less
Repository review
50K input + 3K output tokens
Nemotron 3 Ultra costs less
Agent loop
200K input + 10K output tokens
Nemotron 3 Ultra 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 4 | NVIDIA Nemotron 3 Ultra |
|---|---|---|
| Maker | Mistral AI | NVIDIA |
| Weights | No public weights listed | Open weights |
| Released | October 6, 2026 | June 4, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $1.36 | $0.60 |
| Output $/Mtok | $4.18 | $2.40 |
| Coding index | 56.4 | 30.0 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Large 4 better than Nemotron 3 Ultra for coding?
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 30.0 for Nemotron 3 Ultra. Pick Nemotron 3 Ultra for output tokens 1.7x cheaper ($2.40 vs $4.18 per million) and work measured by LMArena Text: software and IT or Mystery game puzzles, where it leads.
Which is cheaper, Mistral Large 4 or Nemotron 3 Ultra?
Mistral Large 4 costs $1.36 per million input tokens and $4.18 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Large 4 or Nemotron 3 Ultra?
Mistral Large 4, with 1.05M tokens against 262K.
How many benchmarks is the Mistral Large 4 vs Nemotron 3 Ultra comparison based on?
51 benchmarks have a result for both models as of October 23, 2026. Mistral Large 4's coding index rests on 5 independent benchmarks and Nemotron 3 Ultra's on 3. Where only one model has a result, the page says so instead of naming a winner.