MiniMax M3 vs Nemotron 3.5 Super VL
Updated October 21, 2026. 16 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Nemotron 3.5 Super VL for coding: it scores 65.5 on the Vibe Coding Index against 57.8 for MiniMax M3, though on 1 benchmark against 2.
Pick MiniMax M3 when what matters is LiveBench coding or AA Intelligence Index, where it leads.
- Shared results
- 16
- MiniMax M3 only
- 100
- Nemotron 3.5 Super VL only
- 0
- Like-for-like categories
- 6 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL scores 65.5 against 57.8.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
MiniMax M3
MiniMax M3 leads, 29.2 against 26.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only MiniMax M3 has a AA Agentic Index result, 29.5.
Directional only
Reasoning
GPQA Diamond
No call
Only MiniMax M3 has a GPQA Diamond result, 92.7%.
Directional only
Knowledge
MMLU Pro
No call
Only MiniMax M3 has a MMLU Pro result, 84.2%.
Directional only
Web design
Design Arena: websites
MiniMax M3
MiniMax M3 leads, 1257 against 1171.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Super VL
MiniMax M3 $0.0009, Nemotron 3.5 Super VL $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only MiniMax M3 has the number, $0.56.
Directional only
At a glance
- Coding index
- MiniMax M3 57.8 from 2 benchmarks, Nemotron 3.5 Super VL 65.5 from 1 benchmark.
- Widest category
- General, 12.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): MiniMax M3 83.0% against Nemotron 3.5 Super VL 69.0%, 14.0 points apart on a 0 to 100 scale.
- Output price
- MiniMax M3 $1.20 against Nemotron 3.5 Super VL $0.50 per million output tokens, 2.4x apart.
- Context window
- Both take 1.05M 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 | MiniMax M3 | Bars | Nemotron 3.5 Super VL | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 2 | ||
| Reasoning | 1 | 1 | ||
| Web design | 6 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 12 | 4 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index11
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench coding | 70.9% | 65.5% | MiniMax M3 |
| LMArena WebDev | 1482 | Not measured | Only MiniMax M3 measured |
| AA Coding Index | 58.6 | Not measured | Only MiniMax M3 measured |
| LiveCodeBench (Vals AI) | 82.2% | Not measured | Only MiniMax M3 measured |
| SWE-bench Verified (Vals AI) | 75.0% | Not measured | Only MiniMax M3 measured |
| Terminal-Bench 4 (Vals AI) | 1.0% | Not measured | Only MiniMax M3 measured |
| Vibe Code Bench (Vals AI) | 47.6% | Not measured | Only MiniMax M3 measured |
| Code migration (Vals AI) | 19.9% | Not measured | Only MiniMax M3 measured |
| Terminal-Bench 2.1 (Vals AI) | 53.6% | Not measured | Only MiniMax M3 measured |
| SWE-bench Multimodal (Vals AI) | 33.3% | Not measured | Only MiniMax M3 measured |
| Vibe Code Bench 1-100 (Vals AI) | 9.2% | Not measured | Only MiniMax M3 measured |
| SkillsBench (Vals AI) | 51.5% | Not measured | Only MiniMax M3 measured |
| CyberBench (Vals AI) | 65.0% | Not measured | Only MiniMax M3 measured |
| SciCode | 47.1% | 47.8% | Nemotron 3.5 Super VL |
| Terminal-Bench Hard (Artificial Analysis run) | 42.4% | Not measured | Only MiniMax M3 measured |
| FrontierCode | 14.7% | Not measured | Only MiniMax M3 measured |
| ALE-Bench | 640.0 | Not measured | Only MiniMax M3 measured |
| LMArena Text: coding | 1470 | Not measured | Only MiniMax M3 measured |
| LMArena Text: software and IT | 1466 | Not measured | Only MiniMax M3 measured |
| LMArena WebDev: React | 1478 | Not measured | Only MiniMax M3 measured |
| LMArena WebDev: HTML | 1455 | Not measured | Only MiniMax M3 measured |
| LMArena WebDev: from an image | 1470 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.2 | 26.5 | MiniMax M3 |
| Epoch Capabilities Index | 146.9 | Not measured | Only MiniMax M3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| AA Agentic Index | 29.5 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building web apps | 1200 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building full-stack apps | 1197 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building mobile apps | 1169 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building Android apps | 1164 | Not measured | Only MiniMax M3 measured |
| Design Arena: agents building games | 1158 | Not measured | Only MiniMax M3 measured |
| Design Arena: HTML slides | 1180 | Not measured | Only MiniMax M3 measured |
| Design Arena: PowerPoint slides | 1205 | Not measured | Only MiniMax M3 measured |
| Design Arena: spreadsheets | 1021 | Not measured | Only MiniMax M3 measured |
| LiveBench research | 68.0% | 70.9% | Nemotron 3.5 Super VL |
| LiveBench browser | 8.0% | 4.0% | MiniMax M3 |
| LiveBench long agentic | 12.4% | 15.8% | Nemotron 3.5 Super VL |
| Finance Agent (Vals AI) | 48.3% | Not measured | Only MiniMax M3 measured |
| Tax Agent Bench (Vals AI) | 20.6% | Not measured | Only MiniMax M3 measured |
| Legal Research Bench (Vals AI) | 29.8% | Not measured | Only MiniMax M3 measured |
| Excel Modeling Benchmark (Vals AI) | 47.8% | Not measured | Only MiniMax M3 measured |
| τ²-Bench Telecom | 88.9% | Not measured | Only MiniMax M3 measured |
| APEX-Agents | 37.7% | Not measured | Only MiniMax M3 measured |
| OSWorld 2.0 | 4.6% | Not measured | Only MiniMax M3 measured |
| Vending-Bench 2 | $2,158 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 19 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| GPQA Diamond | 92.7% | Not measured | Only MiniMax M3 measured |
| LiveBench reasoning | 74.5% | 78.8% | Nemotron 3.5 Super VL |
| MMMU Pro (Vals AI) | 81.2% | Not measured | Only MiniMax M3 measured |
| GPQA Diamond (Artificial Analysis run) | 92.9% | Not measured | Only MiniMax M3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 39.0% | 30.7% | MiniMax M3 |
| GPQA Diamond (Epoch AI run) | 90.9% | Not measured | Only MiniMax M3 measured |
| SimpleBench | 45.8% | Not measured | Only MiniMax M3 measured |
| Chess puzzles | 13.0% | Not measured | Only MiniMax M3 measured |
| Mystery game puzzles | 8.0% | Not measured | Only MiniMax M3 measured |
| LMArena Text: hard prompts | 1447 | Not measured | Only MiniMax M3 measured |
| LMArena Text: expert | 1461 | Not measured | Only MiniMax M3 measured |
| LMArena Text: hard prompts in English | 1455 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: diagrams | 1266 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: homework | 1268 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 7 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | Not measured | Only MiniMax M3 measured |
| ProofBench | 18.0% | Not measured | Only MiniMax M3 measured |
| LMArena Text: math | 1429 | Not measured | Only MiniMax M3 measured |
| LMArena Text: mathematical work | 1448 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| MMLU Pro | 84.2% | Not measured | Only MiniMax M3 measured |
| LegalBench (Vals AI) | 85.4% | Not measured | Only MiniMax M3 measured |
| CorpFin (Vals AI) | 68.1% | Not measured | Only MiniMax M3 measured |
| TaxEval (Vals AI) | 72.7% | Not measured | Only MiniMax M3 measured |
| MortgageTax (Vals AI) | 68.4% | Not measured | Only MiniMax M3 measured |
| MedCode (Vals AI) | 46.3% | Not measured | Only MiniMax M3 measured |
| LMArena Text: science | 1452 | Not measured | Only MiniMax M3 measured |
| LMArena Text: medicine and healthcare | 1441 | Not measured | Only MiniMax M3 measured |
| LMArena Text: legal and government | 1437 | Not measured | Only MiniMax M3 measured |
| LMArena Text: business and finance | 1434 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 7 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| Design Arena: websites | 1257 | 1171 | MiniMax M3 |
| Design Arena: UI components | 1246 | 1148 | MiniMax M3 |
| Design Arena: game dev | 1210 | 1108 | MiniMax M3 |
| Design Arena: data viz | 1235 | Not measured | Only MiniMax M3 measured |
| Design Arena: 3D | 1209 | 1132 | MiniMax M3 |
| Design Arena: all code categories | 1247 | 1155 | MiniMax M3 |
| Design Arena: SVG | 1161 | Not measured | Only MiniMax M3 measured |
| Design Arena: ASCII art | 1161 | Not measured | Only MiniMax M3 measured |
| LiveBench design | 66.2% | 60.7% | MiniMax M3 |
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | Leader |
|---|---|---|---|
| LiveBench data analysis | 76.2% | 64.6% | MiniMax M3 |
| Public Benefits Bench (Vals AI) | 64.1% | Not measured | Only MiniMax M3 measured |
| SAGE (Vals AI) | 50.6% | Not measured | Only MiniMax M3 measured |
| MedScribe (Vals AI) | 87.3% | Not measured | Only MiniMax M3 measured |
| Vals Multimodal Index | 60.0% | Not measured | Only MiniMax M3 measured |
| IFBench | 82.9% | Not measured | Only MiniMax M3 measured |
| Long context reasoning (AA-LCR) | 83.0% | 69.0% | MiniMax M3 |
| DTBench | 78.9% | Not measured | Only MiniMax M3 measured |
| LMCA | 33.7% | Not measured | Only MiniMax M3 measured |
| Surface Evolver Bench | 55.0% | Not measured | Only MiniMax M3 measured |
| LMArena Text | 1433 | Not measured | Only MiniMax M3 measured |
| LMArena Text: instruction following | 1433 | Not measured | Only MiniMax M3 measured |
| LMArena Text: creative writing | 1404 | Not measured | Only MiniMax M3 measured |
| LMArena Vision | 1251 | Not measured | Only MiniMax M3 measured |
| LMArena Text: English | 1443 | Not measured | Only MiniMax M3 measured |
| LMArena Text: non-English | 1420 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Chinese | 1466 | Not measured | Only MiniMax M3 measured |
| LMArena Text: German | 1428 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Japanese | 1380 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Korean | 1373 | Not measured | Only MiniMax M3 measured |
| LMArena Text: French | 1444 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Spanish | 1433 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Russian | 1426 | Not measured | Only MiniMax M3 measured |
| LMArena Text: Polish | 1423 | Not measured | Only MiniMax M3 measured |
| LMArena Text: multi-turn | 1443 | Not measured | Only MiniMax M3 measured |
| LMArena Text: longer queries | 1446 | Not measured | Only MiniMax M3 measured |
| LMArena Text: writing and language | 1419 | Not measured | Only MiniMax M3 measured |
| LMArena Text: entertainment and media | 1403 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: English | 1263 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: Chinese | 1311 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: reading text | 1259 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: humor | 1235 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: recognizing things | 1197 | Not measured | Only MiniMax M3 measured |
| LMArena Vision: creative writing | 1234 | Not measured | Only MiniMax M3 measured |
| LMArena Document | 1435 | Not measured | Only MiniMax M3 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | MiniMax M3 | Nemotron 3.5 Super VL | 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 3.5 Super VL costs less
Repository review
50K input + 3K output tokens
Nemotron 3.5 Super VL costs less
Agent loop
200K input + 10K output tokens
Nemotron 3.5 Super VL 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 | MiniMax M3 | NVIDIA Nemotron 3.5 Super VL |
|---|---|---|
| Maker | MiniMax | NVIDIA |
| Weights | Open weights | Open weights |
| Released | May 31, 2026 | October 15, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $0.15 |
| Output $/Mtok | $1.20 | $0.50 |
| Coding index | 57.8 | 65.5 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | $0.56 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is MiniMax M3 better than Nemotron 3.5 Super VL for coding?
Pick Nemotron 3.5 Super VL for coding: it scores 65.5 on the Vibe Coding Index against 57.8 for MiniMax M3, though on 1 benchmark against 2. Pick MiniMax M3 when what matters is LiveBench coding or AA Intelligence Index, where it leads.
Which is cheaper, MiniMax M3 or Nemotron 3.5 Super VL?
MiniMax M3 costs $0.30 per million input tokens and $1.20 per million output tokens; Nemotron 3.5 Super VL costs $0.15 and $0.50. Cost per solved task is known for MiniMax M3 only.
Which has the bigger context window, MiniMax M3 or Nemotron 3.5 Super VL?
Neither: both take 1.05M tokens.
How many benchmarks is the MiniMax M3 vs Nemotron 3.5 Super VL comparison based on?
16 benchmarks have a result for both models as of October 21, 2026. MiniMax M3's coding index rests on 2 independent benchmarks and Nemotron 3.5 Super VL's on 1. Where only one model has a result, the page says so instead of naming a winner.