Nemotron 3.5 Super VL vs Qwen3.5-122B-A10B
Nemotron 3.5 Super VL leads Qwen3.5-122B-A10B on the Artificial Analysis Intelligence Index, 26.5 to 17.7, and Nemotron 3.5 Super VL costs 4.2x less per output token ($0.50 vs $2.08 per million). Updated October 23, 2026; 4 benchmarks have a result for both.
Nemotron 3.5 Super VL or Qwen3.5-122B-A10B: 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 4.2x cheaper ($0.50 vs $2.08 per million) and a larger context window (1.05M against 262K tokens).
- Shared results
- 4
- Nemotron 3.5 Super VL only
- 12
- Qwen3.5-122B-A10B only
- 47
- Like-for-like categories
- 4 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 17.7.
Same board, both measured
Web design
Design Arena: websites
No call
Only Nemotron 3.5 Super VL has a Design Arena: websites result, 1172.
Directional only
Long documents
Listed context window
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL $0.0004, Qwen3.5-122B-A10B $0.0013 per turn.
List prices
At a glance
- Coding index
- Nemotron 3.5 Super VL not benchmarked, Qwen3.5-122B-A10B not benchmarked.
- Widest category
- Intelligence, 8.8 points apart on average over 1 shared benchmark.
- Widest single gap
- AA Intelligence Index: Nemotron 3.5 Super VL 26.5 against Qwen3.5-122B-A10B 17.7, 8.8 points apart on a 0 to 100 scale.
- Output price
- Nemotron 3.5 Super VL $0.50 against Qwen3.5-122B-A10B $2.08 per million output tokens, 4.2x apart.
- Context window
- Nemotron 3.5 Super VL takes 1.05M tokens, Qwen3.5-122B-A10B 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 | Nemotron 3.5 Super VL | Bars | Qwen3.5-122B-A10B | Ties |
|---|---|---|---|---|
| Coding | 1 | 0 | ||
| Intelligence | 1 | 0 | ||
| Reasoning | 1 | 0 | ||
| General | 0 | 1 | ||
| All shared boards | 3 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
| Benchmark | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| LiveBench coding | 65.5% | Not measured | Only Nemotron 3.5 Super VL measured |
| LMArena WebDev | Not measured | 1361 | Only Qwen3.5-122B-A10B measured |
| AA Coding Index | Not measured | 43.3 | Only Qwen3.5-122B-A10B measured |
| SciCode | 47.8% | 39.7% | Nemotron 3.5 Super VL |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 31.1% | Only Qwen3.5-122B-A10B measured |
| LMArena Text: coding | Not measured | 1436 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: software and IT | Not measured | 1436 | Only Qwen3.5-122B-A10B measured |
| LMArena WebDev: React | Not measured | 1352 | Only Qwen3.5-122B-A10B measured |
| LMArena WebDev: HTML | Not measured | 1352 | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.5 | 17.7 | 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 index4 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | 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 |
| τ²-Bench Telecom | Not measured | 93.6% | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| LiveBench reasoning | 78.8% | Not measured | Only Nemotron 3.5 Super VL measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 85.7% | Only Qwen3.5-122B-A10B measured |
| Humanity's Last Exam (Artificial Analysis run) | 30.7% | 25.2% | Nemotron 3.5 Super VL |
| Mystery game puzzles | Not measured | 17.0% | Only Qwen3.5-122B-A10B measured |
| LMArena Text: hard prompts | Not measured | 1421 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: expert | Not measured | 1431 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: hard prompts in English | Not measured | 1431 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: diagrams | Not measured | 1249 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: homework | Not measured | 1261 | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 14 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| LMArena Text: math | Not measured | 1431 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: mathematical work | Not measured | 1431 | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| LMArena Text: science | Not measured | 1433 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: medicine and healthcare | Not measured | 1423 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: legal and government | Not measured | 1422 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: business and finance | Not measured | 1414 | Only Qwen3.5-122B-A10B measured |
| Neither model has a result on the other 16 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
| Benchmark | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| Design Arena: websites | 1172 | Not measured | Only Nemotron 3.5 Super VL measured |
| Design Arena: UI components | 1148 | 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 | 1127 | 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 | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | Leader |
|---|---|---|---|
| LiveBench data analysis | 64.6% | Not measured | Only Nemotron 3.5 Super VL measured |
| IFBench | Not measured | 75.7% | Only Qwen3.5-122B-A10B measured |
| Long context reasoning (AA-LCR) | 69.0% | 76.3% | Qwen3.5-122B-A10B |
| DTBench | Not measured | 84.3% | Only Qwen3.5-122B-A10B measured |
| LMCA | Not measured | 32.2% | Only Qwen3.5-122B-A10B measured |
| LMArena Text | Not measured | 1418 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: instruction following | Not measured | 1400 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: creative writing | Not measured | 1368 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision | Not measured | 1244 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: English | Not measured | 1428 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: non-English | Not measured | 1401 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Chinese | Not measured | 1463 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: German | Not measured | 1425 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Japanese | Not measured | 1367 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Korean | Not measured | 1353 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: French | Not measured | 1443 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Spanish | Not measured | 1425 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Russian | Not measured | 1400 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: Polish | Not measured | 1399 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: multi-turn | Not measured | 1417 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: longer queries | Not measured | 1411 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: writing and language | Not measured | 1387 | Only Qwen3.5-122B-A10B measured |
| LMArena Text: entertainment and media | Not measured | 1366 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: English | Not measured | 1249 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: Chinese | Not measured | 1301 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: reading text | Not measured | 1251 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: humor | Not measured | 1243 | Only Qwen3.5-122B-A10B measured |
| LMArena Vision: creative writing | Not measured | 1220 | Only Qwen3.5-122B-A10B 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 | Nemotron 3.5 Super VL | Qwen3.5-122B-A10B | 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 | Qwen3.5-122B-A10B |
|---|---|---|
| Maker | NVIDIA | Qwen |
| Weights | Open weights | Open weights |
| Released | October 15, 2026 | February 25, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.15 | $0.26 |
| Output $/Mtok | $0.50 | $2.08 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nemotron 3.5 Super VL better than Qwen3.5-122B-A10B 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 4.2x cheaper ($0.50 vs $2.08 per million) and a larger context window (1.05M against 262K tokens).
Which is cheaper, Nemotron 3.5 Super VL or Qwen3.5-122B-A10B?
Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; Qwen3.5-122B-A10B costs $0.26 and $2.08. Cost per solved task is known for neither of them.
Which has the bigger context window, Nemotron 3.5 Super VL or Qwen3.5-122B-A10B?
Nemotron 3.5 Super VL, with 1.05M tokens against 262K.
How many benchmarks is the Nemotron 3.5 Super VL vs Qwen3.5-122B-A10B comparison based on?
4 benchmarks have a result for both models as of October 23, 2026. Nemotron 3.5 Super VL's coding index rests on 1 independent benchmark and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.