Mistral Small 4 vs Nemotron 3 Super
Nemotron 3 Super leads Mistral Small 4 on the Artificial Analysis Intelligence Index, 12.8 to 11.3, and Nemotron 3 Super costs 1.3x less per output token ($0.45 vs $0.60 per million). Updated October 23, 2026; 11 benchmarks have a result for both.
Mistral Small 4 or Nemotron 3 Super: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Small 4 for work measured by AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 11
- Mistral Small 4 only
- 4
- Nemotron 3 Super only
- 28
- Like-for-like categories
- 5 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 11.3.
Same board, both measured
Agentic work
AA Agentic Index
Nemotron 3 Super
Nemotron 3 Super leads, 1.7 against 0.8.
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 Super
Mistral Small 4 $0.0004, Nemotron 3 Super $0.0003 per turn.
List prices
At a glance
- Coding index
- Mistral Small 4 not benchmarked, Nemotron 3 Super not benchmarked.
- Widest category
- General, 19.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Mistral Small 4 41.2% against Nemotron 3 Super 67.8%, 26.6 points apart on a 0 to 100 scale.
- Output price
- Mistral Small 4 $0.60 against Nemotron 3 Super $0.45 per million output tokens, 1.3x 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 Small 4 | Bars | Nemotron 3 Super | Ties |
|---|---|---|---|---|
| Coding | 2 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 2 | ||
| General | 0 | 2 | ||
| All shared boards | 2 | 9 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index22
| Benchmark | Mistral Small 4 | Nemotron 3 Super | Leader |
|---|---|---|---|
| AA Coding Index | 26.6 | 37.7 | Nemotron 3 Super |
| Vibe Code Bench (Vals AI) | 0.0% | Not measured | Only Mistral Small 4 measured |
| SciCode | 38.8% | 36.2% | Mistral Small 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 17.4% | 28.8% | Nemotron 3 Super |
| WeirdML | Not measured | 38.0% | Only Nemotron 3 Super measured |
| ALE-Bench | 497.6 | 213.9 | Mistral Small 4 |
| LMArena Text: coding | Not measured | 1404 | Only Nemotron 3 Super measured |
| LMArena Text: software and IT | Not measured | 1409 | Only Nemotron 3 Super measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Mistral Small 4 | Nemotron 3 Super | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.3 | 12.8 | Nemotron 3 Super |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Small 4 | Nemotron 3 Super | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | 1.7 | Nemotron 3 Super |
| τ²-Bench Telecom | 41.2% | 67.8% | Nemotron 3 Super |
| Neither model has a result on the other 40 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Small 4 | Nemotron 3 Super | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 76.9% | 80.0% | Nemotron 3 Super |
| Humanity's Last Exam (Artificial Analysis run) | 9.9% | 20.8% | Nemotron 3 Super |
| LMArena Text: hard prompts | Not measured | 1386 | Only Nemotron 3 Super measured |
| LMArena Text: expert | Not measured | 1398 | Only Nemotron 3 Super measured |
| LMArena Text: hard prompts in English | Not measured | 1397 | Only Nemotron 3 Super measured |
| Kagi LLM Benchmark | 40.5% | Not measured | Only Mistral Small 4 measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Mistral Small 4 | Nemotron 3 Super | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1380 | Only Nemotron 3 Super measured |
| LMArena Text: mathematical work | Not measured | 1405 | Only Nemotron 3 Super measured |
| MathArena | Not measured | 16.6% | Only Nemotron 3 Super measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Mistral Small 4 | Nemotron 3 Super | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1388 | Only Nemotron 3 Super measured |
| LMArena Text: medicine and healthcare | Not measured | 1383 | Only Nemotron 3 Super measured |
| LMArena Text: legal and government | Not measured | 1392 | Only Nemotron 3 Super measured |
| LMArena Text: business and finance | Not measured | 1364 | Only Nemotron 3 Super measured |
| Neither model has a result on the other 16 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 4 | Nemotron 3 Super | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Mistral Small 4 | Nemotron 3 Super | Leader |
|---|---|---|---|
| IFBench | 48.2% | 71.5% | Nemotron 3 Super |
| Long context reasoning (AA-LCR) | 49.7% | 65.7% | Nemotron 3 Super |
| DTBench | 70.9% | Not measured | Only Mistral Small 4 measured |
| LMCA | 20.6% | Not measured | Only Mistral Small 4 measured |
| LMArena Text | Not measured | 1378 | Only Nemotron 3 Super measured |
| LMArena Text: instruction following | Not measured | 1347 | Only Nemotron 3 Super measured |
| LMArena Text: creative writing | Not measured | 1317 | Only Nemotron 3 Super measured |
| LMArena Text: English | Not measured | 1400 | Only Nemotron 3 Super measured |
| LMArena Text: non-English | Not measured | 1356 | Only Nemotron 3 Super measured |
| LMArena Text: Chinese | Not measured | 1432 | Only Nemotron 3 Super measured |
| LMArena Text: German | Not measured | 1341 | Only Nemotron 3 Super measured |
| LMArena Text: French | Not measured | 1403 | Only Nemotron 3 Super measured |
| LMArena Text: Spanish | Not measured | 1418 | Only Nemotron 3 Super measured |
| LMArena Text: Russian | Not measured | 1336 | Only Nemotron 3 Super measured |
| LMArena Text: Polish | Not measured | 1346 | Only Nemotron 3 Super measured |
| LMArena Text: multi-turn | Not measured | 1369 | Only Nemotron 3 Super measured |
| LMArena Text: longer queries | Not measured | 1362 | Only Nemotron 3 Super measured |
| LMArena Text: writing and language | Not measured | 1331 | Only Nemotron 3 Super measured |
| LMArena Text: entertainment and media | Not measured | 1336 | Only Nemotron 3 Super measured |
| Neither model has a result on the other 29 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 4 | 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 Small 4 | NVIDIA Nemotron 3 Super |
|---|---|---|
| Maker | Mistral AI | NVIDIA |
| Weights | Open weights | Open weights |
| Released | March 16, 2026 | March 11, 2026 |
| Context window | 262K | 262K |
| Input $/Mtok | $0.15 | $0.085 |
| Output $/Mtok | $0.60 | $0.45 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Small 4 better than Nemotron 3 Super for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 4 for work measured by AA Coding Index or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, Mistral Small 4 or Nemotron 3 Super?
Mistral Small 4 costs $0.15 per million input tokens and $0.60 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 Small 4 or Nemotron 3 Super?
Neither: both take 262K tokens.
How many benchmarks is the Mistral Small 4 vs Nemotron 3 Super comparison based on?
11 benchmarks have a result for both models as of October 23, 2026. Mistral Small 4's coding index rests on 1 independent benchmark and Nemotron 3 Super's on 0. Where only one model has a result, the page says so instead of naming a winner.