Nemotron 3.5 Super VL vs o1-pro
Nemotron 3.5 Super VL leads o1-pro on the Artificial Analysis Intelligence Index, 26.5 to 12.4, and Nemotron 3.5 Super VL costs 1200.0x less per output token ($0.50 vs $600.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.
Nemotron 3.5 Super VL or o1-pro: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nemotron 3.5 Super VL for output tokens 1200.0x cheaper ($0.50 vs $600.00 per million) and a larger context window (1.05M against 200K tokens).
- Shared results
- 1
- Nemotron 3.5 Super VL only
- 15
- o1-pro only
- 1
- Like-for-like categories
- 1 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 3.5 Super VL
Nemotron 3.5 Super VL leads, 26.5 against 12.4.
Same board, both measured
Web design
Design Arena: websites
No call
Only Nemotron 3.5 Super VL has a Design Arena: websites result, 1173.
Directional only
Long documents
Listed context window
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL takes 1.05M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL $0.0004, o1-pro $0.450 per turn.
List prices
At a glance
- Coding index
- Nemotron 3.5 Super VL not benchmarked, o1-pro not benchmarked.
- Widest category
- Intelligence, 14.1 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Nemotron 3.5 Super VL 26.5 against o1-pro 12.4, 14.1 points apart on a 0 to 100 scale.
- Output price
- Nemotron 3.5 Super VL $0.50 against o1-pro $600.00 per million output tokens, 1200.0x apart.
- Context window
- Nemotron 3.5 Super VL takes 1.05M tokens, o1-pro 200K.
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 | Nemotron 3.5 Super VL | Bars | o1-pro | Ties |
|---|---|---|---|---|
| Intelligence | 1 | 0 | ||
| All shared boards | 1 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | o1-pro | Leader |
|---|---|---|---|
| LiveBench coding | 65.5% | Not measured | Only Nemotron 3.5 Super VL measured |
| SciCode | 47.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 41 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nemotron 3.5 Super VL | o1-pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.5 | 12.4 | Nemotron 3.5 Super VL |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | o1-pro | Leader |
|---|---|---|---|
| LiveBench research | 70.9% | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench browser | 4.0% | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench long agentic | 15.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 39 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | o1-pro | Leader |
|---|---|---|---|
| LiveBench reasoning | 78.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| Humanity's Last Exam (Artificial Analysis run) | 30.7% | Not measured | Only Nemotron 3.5 Super VL measured |
| ARC-AGI | Not measured | 23.3% | Only o1-pro measured |
| Neither model has a result on the other 20 boards here | |||
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | o1-pro | Leader |
|---|---|---|---|
| Neither model has a result on 14 boards here | |||
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | o1-pro | Leader |
|---|---|---|---|
| Neither model has a result on 20 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | o1-pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1173 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: UI components | 1149 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: game dev | 1110 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: 3D | 1128 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: all code categories | 1154 | Not measured | Only Nemotron 3.5 Super VL measured |
| LiveBench design | 60.7% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | o1-pro | Leader |
|---|---|---|---|
| LiveBench data analysis | 64.6% | Not measured | Only Nemotron 3.5 Super VL measured |
| Long context reasoning (AA-LCR) | 69.0% | Not measured | Only Nemotron 3.5 Super VL measured |
| Neither model has a result on the other 46 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | o1-pro | 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 | NVIDIA Nemotron 3.5 Super VL | OpenAI o1-pro |
|---|---|---|
| Maker | NVIDIA | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | October 15, 2026 | March 19, 2025 |
| Context window | 1.05M | 200K |
| Input $/Mtok | $0.15 | $150.00 |
| Output $/Mtok | $0.50 | $600.00 |
| 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 Nemotron 3.5 Super VL better than o1-pro for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for output tokens 1200.0x cheaper ($0.50 vs $600.00 per million) and a larger context window (1.05M against 200K tokens).
Which is cheaper, Nemotron 3.5 Super VL or o1-pro?
Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; o1-pro costs $150.00 and $600.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Nemotron 3.5 Super VL or o1-pro?
Nemotron 3.5 Super VL, with 1.05M tokens against 200K.
How many benchmarks is the Nemotron 3.5 Super VL vs o1-pro comparison based on?
1 benchmarks have a result for both models as of October 22, 2026. Nemotron 3.5 Super VL's coding index rests on 1 independent benchmark and o1-pro's on 0. Where only one model has a result, the page says so instead of naming a winner.