Mistral Medium 3.5 vs Nemotron 3 Ultra
Nemotron 3 Ultra leads Mistral Medium 3.5 on coding, 30.0 to 25.5 on the Vibe Coding Index, and Nemotron 3 Ultra costs 3.1x less per output token ($2.40 vs $7.50 per million). Updated October 23, 2026; 61 benchmarks have a result for both.
Mistral Medium 3.5 or Nemotron 3 Ultra: which to pick
Pick Nemotron 3 Ultra for coding: it scores 30.0 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.
Pick Mistral Medium 3.5 for work measured by Code migration (Vals AI) or τ²-Bench Telecom, where it leads.
- Shared results
- 61
- Mistral Medium 3.5 only
- 21
- Nemotron 3 Ultra only
- 10
- 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
Nemotron 3 Ultra
Nemotron 3 Ultra scores 30.0 against 25.5.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 22.9 against 14.2.
Same board, both measured
Agentic work
AA Agentic Index
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 20.1 against 7.0.
Same board, both measured
Reasoning
GPQA Diamond
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 86.1% against 34.9%.
Same board, both measured
Knowledge
MMLU Pro
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 85.8% against 75.3%.
Same board, both measured
Web design
Design Arena: websites
Nemotron 3 Ultra
Nemotron 3 Ultra leads, 1145 against 1142.
Same board, both measured
Long documents
Listed context window
No call
Both take 262K tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3 Ultra
Mistral Medium 3.5 $0.0053, Nemotron 3 Ultra $0.0018 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Mistral Medium 3.5 has the number, $6.02.
Directional only
At a glance
- Coding index
- Mistral Medium 3.5 25.5 from 3 benchmarks, Nemotron 3 Ultra 30.0 from 3 benchmarks.
- Widest category
- Reasoning, 14.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- GPQA Diamond: Mistral Medium 3.5 34.9% against Nemotron 3 Ultra 86.1%, 51.3 points apart on a 0 to 100 scale.
- Output price
- Mistral Medium 3.5 $7.50 against Nemotron 3 Ultra $2.40 per million output tokens, 3.1x apart.
- Context window
- Both take 262K tokens.
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 Medium 3.5 | Bars | Nemotron 3 Ultra | Ties |
|---|---|---|---|---|
| Coding | 1 | 8 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 1 | 4 | ||
| Reasoning | 0 | 6 | ||
| Math | 1 | 2 | ||
| Knowledge | 0 | 8 | ||
| Web design | 0 | 8 | ||
| General | 2 | 18 | ||
| All shared boards | 5 | 56 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index18
| Benchmark | Mistral Medium 3.5 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| LMArena WebDev | 1264 | Not measured | Only Mistral Medium 3.5 measured |
| AA Coding Index | 46.9 | 49.3 | Nemotron 3 Ultra |
| LiveCodeBench (Vals AI) | Not measured | 86.0% | Only Nemotron 3 Ultra measured |
| SWE-bench Verified (Vals AI) | 66.4% | 69.0% | Nemotron 3 Ultra |
| Vibe Code Bench (Vals AI) | 2.9% | 7.6% | Nemotron 3 Ultra |
| Code migration (Vals AI) | 5.1% | 4.9% | Mistral Medium 3.5 |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Nemotron 3 Ultra measured |
| Terminal-Bench 2.1 (Vals AI) | 39.0% | 50.9% | Nemotron 3 Ultra |
| SciCode | 40.2% | 40.3% | Nemotron 3 Ultra |
| Terminal-Bench Hard (Artificial Analysis run) | 33.3% | 36.4% | Nemotron 3 Ultra |
| FrontierCode | Not measured | 13.6% | Only Nemotron 3 Ultra measured |
| WeirdML | Not measured | 43.5% | Only Nemotron 3 Ultra measured |
| ALE-Bench | 764.0 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Text: coding | 1461 | 1467 | Nemotron 3 Ultra |
| LMArena Text: software and IT | 1458 | 1468 | Nemotron 3 Ultra |
| LMArena WebDev: React | 1254 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena WebDev: HTML | 1309 | Not measured | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Medium 3.5 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.2 | 22.9 | Nemotron 3 Ultra |
| Epoch Capabilities Index | 141.4 | 146.0 | Nemotron 3 Ultra |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Mistral Medium 3.5 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| AA Agentic Index | 7.0 | 20.1 | Nemotron 3 Ultra |
| Finance Agent (Vals AI) | 32.1% | 37.7% | Nemotron 3 Ultra |
| Tax Agent Bench (Vals AI) | 4.5% | Not measured | Only Mistral Medium 3.5 measured |
| Legal Research Bench (Vals AI) | 9.1% | 15.4% | Nemotron 3 Ultra |
| Excel Modeling Benchmark (Vals AI) | 11.2% | 31.7% | Nemotron 3 Ultra |
| τ²-Bench Telecom | 94.2% | 83.3% | Mistral Medium 3.5 |
| 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 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Mistral Medium 3.5 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| GPQA Diamond | 34.9% | 86.1% | Nemotron 3 Ultra |
| GPQA Diamond (Artificial Analysis run) | 74.8% | 86.7% | Nemotron 3 Ultra |
| Humanity's Last Exam (Artificial Analysis run) | 13.8% | 28.4% | Nemotron 3 Ultra |
| GPQA Diamond (Epoch AI run) | Not measured | 85.4% | Only Nemotron 3 Ultra measured |
| Mystery game puzzles | Not measured | 20.0% | Only Nemotron 3 Ultra measured |
| LMArena Text: hard prompts | 1436 | 1452 | Nemotron 3 Ultra |
| LMArena Text: expert | 1432 | 1472 | Nemotron 3 Ultra |
| LMArena Text: hard prompts in English | 1445 | 1453 | Nemotron 3 Ultra |
| LMArena Vision: diagrams | 1254 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: homework | 1230 | Not measured | Only Mistral Medium 3.5 measured |
| Kagi LLM Benchmark | 41.4% | Not measured | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Mistral Medium 3.5 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 86.7% | Only Nemotron 3 Ultra measured |
| ProofBench | 9.0% | 2.0% | Mistral Medium 3.5 |
| LMArena Text: math | 1432 | 1457 | Nemotron 3 Ultra |
| LMArena Text: mathematical work | 1441 | 1462 | Nemotron 3 Ultra |
| Neither model has a result on the other 10 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Mistral Medium 3.5 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| MMLU Pro | 75.3% | 85.8% | Nemotron 3 Ultra |
| LegalBench (Vals AI) | Not measured | 82.1% | Only Nemotron 3 Ultra measured |
| CaseLaw (Vals AI) | 44.2% | Not measured | Only Mistral Medium 3.5 measured |
| CorpFin (Vals AI) | 58.8% | 65.5% | Nemotron 3 Ultra |
| TaxEval (Vals AI) | 68.0% | 73.1% | Nemotron 3 Ultra |
| MortgageTax (Vals AI) | 28.9% | Not measured | Only Mistral Medium 3.5 measured |
| MedCode (Vals AI) | 33.8% | 38.6% | Nemotron 3 Ultra |
| LMArena Text: science | 1428 | 1465 | Nemotron 3 Ultra |
| LMArena Text: medicine and healthcare | 1409 | 1455 | Nemotron 3 Ultra |
| LMArena Text: legal and government | 1437 | 1453 | Nemotron 3 Ultra |
| LMArena Text: business and finance | 1426 | 1435 | Nemotron 3 Ultra |
| Neither model has a result on the other 9 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Mistral Medium 3.5 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| Design Arena: websites | 1142 | 1145 | Nemotron 3 Ultra |
| Design Arena: UI components | 1076 | 1135 | Nemotron 3 Ultra |
| Design Arena: game dev | 1079 | 1138 | Nemotron 3 Ultra |
| Design Arena: data viz | 1121 | 1142 | Nemotron 3 Ultra |
| Design Arena: 3D | 1061 | 1132 | Nemotron 3 Ultra |
| Design Arena: all code categories | 1121 | 1146 | Nemotron 3 Ultra |
| Design Arena: SVG | 949 | 1069 | Nemotron 3 Ultra |
| Design Arena: ASCII art | 1062 | 1100 | Nemotron 3 Ultra |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index218
| Benchmark | Mistral Medium 3.5 | Nemotron 3 Ultra | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 37.6% | Not measured | Only Mistral Medium 3.5 measured |
| MedScribe (Vals AI) | 67.7% | Not measured | Only Mistral Medium 3.5 measured |
| Vals Multimodal Index | 34.8% | Not measured | Only Mistral Medium 3.5 measured |
| IFBench | 68.8% | 81.4% | Nemotron 3 Ultra |
| Long context reasoning (AA-LCR) | 69.3% | 79.3% | Nemotron 3 Ultra |
| DTBench | 75.5% | 90.1% | Nemotron 3 Ultra |
| LMCA | 26.1% | 36.9% | Nemotron 3 Ultra |
| Surface Evolver Bench | 26.9% | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Text | 1421 | 1445 | Nemotron 3 Ultra |
| LMArena Text: instruction following | 1415 | 1418 | Nemotron 3 Ultra |
| LMArena Text: creative writing | 1374 | 1398 | Nemotron 3 Ultra |
| LMArena Vision | 1222 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Text: English | 1433 | 1454 | Nemotron 3 Ultra |
| LMArena Text: non-English | 1405 | 1427 | Nemotron 3 Ultra |
| LMArena Text: Chinese | 1444 | 1498 | Nemotron 3 Ultra |
| LMArena Text: German | 1455 | 1474 | Nemotron 3 Ultra |
| LMArena Text: Korean | 1384 | 1385 | Nemotron 3 Ultra |
| LMArena Text: French | 1448 | 1473 | Nemotron 3 Ultra |
| LMArena Text: Spanish | 1411 | 1454 | Nemotron 3 Ultra |
| LMArena Text: Russian | 1396 | 1417 | Nemotron 3 Ultra |
| LMArena Text: Polish | 1430 | 1385 | Mistral Medium 3.5 |
| LMArena Text: multi-turn | 1423 | 1411 | Mistral Medium 3.5 |
| LMArena Text: longer queries | 1415 | 1437 | Nemotron 3 Ultra |
| LMArena Text: writing and language | 1384 | 1405 | Nemotron 3 Ultra |
| LMArena Text: entertainment and media | 1382 | 1397 | Nemotron 3 Ultra |
| LMArena Vision: English | 1240 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: Chinese | 1244 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: reading text | 1233 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: humor | 1216 | Not measured | Only Mistral Medium 3.5 measured |
| LMArena Vision: creative writing | 1198 | Not measured | Only Mistral Medium 3.5 measured |
| EQ-Bench 4 | 993 | Not measured | Only Mistral Medium 3.5 measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Medium 3.5 | 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 Medium 3.5 | NVIDIA Nemotron 3 Ultra |
|---|---|---|
| Maker | Mistral AI | NVIDIA |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | June 4, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $1.50 | $0.60 |
| Output $/Mtok | $7.50 | $2.40 |
| Coding index | 25.5 | 30.0 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | $6.02 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Medium 3.5 better than Nemotron 3 Ultra for coding?
Pick Nemotron 3 Ultra for coding: it scores 30.0 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for work measured by Code migration (Vals AI) or τ²-Bench Telecom, where it leads.
Which is cheaper, Mistral Medium 3.5 or Nemotron 3 Ultra?
Mistral Medium 3.5 costs $1.50 per million input tokens and $7.50 per million output tokens; Nemotron 3 Ultra costs $0.60 and $2.40. Cost per solved task is known for Mistral Medium 3.5 only.
Which has the bigger context window, Mistral Medium 3.5 or Nemotron 3 Ultra?
Neither: both take 262K tokens.
How many benchmarks is the Mistral Medium 3.5 vs Nemotron 3 Ultra comparison based on?
61 benchmarks have a result for both models as of October 23, 2026. Mistral Medium 3.5's coding index rests on 3 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.