Enter opens the highlighted result. Esc closes.

Nemotron 3 Super vs Qwen3.5-122B-A10B

Qwen3.5-122B-A10B leads Nemotron 3 Super on the Artificial Analysis Intelligence Index, 17.7 to 12.8, and Nemotron 3 Super costs 4.6x less per output token ($0.45 vs $2.08 per million). Updated October 23, 2026; 35 benchmarks have a result for both.

Nemotron 3 SuperNVIDIA
Coding
No data
Overall
No data
Output $/M
$0.45
0
Qwen3.5-122B-A10BQwen
Coding
No data
Overall
No data
Output $/M
$2.08
35
vs boards won of 35 shared

Nemotron 3 Super 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 Super for output tokens 4.6x cheaper ($0.45 vs $2.08 per million) and work measured by AA Coding Index or SciCode, where it leads.

Shared results
35
Nemotron 3 Super only
4
Qwen3.5-122B-A10B only
16
Like-for-like categories
7 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.

At a glance

Coding index
Nemotron 3 Super not benchmarked, Qwen3.5-122B-A10B not benchmarked.
Widest category
Agentic work, 25.7 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Nemotron 3 Super 67.8% against Qwen3.5-122B-A10B 93.6%, 25.7 points apart on a 0 to 100 scale.
Output price
Nemotron 3 Super $0.45 against Qwen3.5-122B-A10B $2.08 per million output tokens, 4.6x 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.

Boards won, where both have a result
CategoryNemotron 3 SuperBarsQwen3.5-122B-A10BTies
Coding05
Intelligence01
Agentic work01
Reasoning05
Math02
Knowledge04
General017
All shared boards035
CodingLike-for-likeSix of these boards feed the Vibe Coding Index05
Coding benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
LMArena WebDevNot measured1361Only Qwen3.5-122B-A10B measured
AA Coding Index37.743.3Qwen3.5-122B-A10B
SciCode36.2%39.7%Qwen3.5-122B-A10B
Terminal-Bench Hard (Artificial Analysis run)28.8%31.1%Qwen3.5-122B-A10B
WeirdML38.0%Not measuredOnly Nemotron 3 Super measured
ALE-Bench213.9Not measuredOnly Nemotron 3 Super measured
LMArena Text: coding14041436Qwen3.5-122B-A10B
LMArena Text: software and IT14091436Qwen3.5-122B-A10B
LMArena WebDev: ReactNot measured1352Only Qwen3.5-122B-A10B measured
LMArena WebDev: HTMLNot measured1352Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
AA Intelligence Index12.817.7Qwen3.5-122B-A10B
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
AA Agentic Index1.7Not measuredOnly Nemotron 3 Super measured
τ²-Bench Telecom67.8%93.6%Qwen3.5-122B-A10B
Neither model has a result on the other 40 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
Reasoning benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
GPQA Diamond (Artificial Analysis run)80.0%85.7%Qwen3.5-122B-A10B
Humanity's Last Exam (Artificial Analysis run)20.8%25.2%Qwen3.5-122B-A10B
Mystery game puzzlesNot measured17.0%Only Qwen3.5-122B-A10B measured
LMArena Text: hard prompts13861421Qwen3.5-122B-A10B
LMArena Text: expert13981431Qwen3.5-122B-A10B
LMArena Text: hard prompts in English13971431Qwen3.5-122B-A10B
LMArena Vision: diagramsNot measured1249Only Qwen3.5-122B-A10B measured
LMArena Vision: homeworkNot measured1261Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index02
Math benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
LMArena Text: math13801431Qwen3.5-122B-A10B
LMArena Text: mathematical work14051431Qwen3.5-122B-A10B
MathArena16.6%Not measuredOnly Nemotron 3 Super measured
Neither model has a result on the other 11 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
Knowledge benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
LMArena Text: science13881433Qwen3.5-122B-A10B
LMArena Text: medicine and healthcare13831423Qwen3.5-122B-A10B
LMArena Text: legal and government13921422Qwen3.5-122B-A10B
LMArena Text: business and finance13641414Qwen3.5-122B-A10B
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
Web design benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
Neither model has a result on 9 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index017
General benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
IFBench71.5%75.7%Qwen3.5-122B-A10B
Long context reasoning (AA-LCR)65.7%76.3%Qwen3.5-122B-A10B
DTBenchNot measured84.3%Only Qwen3.5-122B-A10B measured
LMCANot measured32.2%Only Qwen3.5-122B-A10B measured
LMArena Text13781418Qwen3.5-122B-A10B
LMArena Text: instruction following13471400Qwen3.5-122B-A10B
LMArena Text: creative writing13171368Qwen3.5-122B-A10B
LMArena VisionNot measured1244Only Qwen3.5-122B-A10B measured
LMArena Text: English14001428Qwen3.5-122B-A10B
LMArena Text: non-English13561401Qwen3.5-122B-A10B
LMArena Text: Chinese14321463Qwen3.5-122B-A10B
LMArena Text: German13411425Qwen3.5-122B-A10B
LMArena Text: JapaneseNot measured1367Only Qwen3.5-122B-A10B measured
LMArena Text: KoreanNot measured1353Only Qwen3.5-122B-A10B measured
LMArena Text: French14031443Qwen3.5-122B-A10B
LMArena Text: Spanish14181425Qwen3.5-122B-A10B
LMArena Text: Russian13361400Qwen3.5-122B-A10B
LMArena Text: Polish13461399Qwen3.5-122B-A10B
LMArena Text: multi-turn13691417Qwen3.5-122B-A10B
LMArena Text: longer queries13621411Qwen3.5-122B-A10B
LMArena Text: writing and language13311387Qwen3.5-122B-A10B
LMArena Text: entertainment and media13361366Qwen3.5-122B-A10B
LMArena Vision: EnglishNot measured1249Only Qwen3.5-122B-A10B measured
LMArena Vision: ChineseNot measured1301Only Qwen3.5-122B-A10B measured
LMArena Vision: reading textNot measured1251Only Qwen3.5-122B-A10B measured
LMArena Vision: humorNot measured1243Only Qwen3.5-122B-A10B measured
LMArena Vision: creative writingNot measured1220Only Qwen3.5-122B-A10B measured
Neither model has a result on the other 21 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nemotron 3 Super and Qwen3.5-122B-A10B
BenchmarkNemotron 3 SuperQwen3.5-122B-A10BLeader
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$0.0003Fits in one request
Qwen3.5-122B-A10B$0.0013Fits in one request

Nemotron 3 Super costs less

Repository review

50K input + 3K output tokens

Nemotron 3 Super$0.0056Fits in one request
Qwen3.5-122B-A10B$0.019Fits in one request

Nemotron 3 Super costs less

Agent loop

200K input + 10K output tokens

Nemotron 3 Super$0.021Fits in one request
Qwen3.5-122B-A10B$0.073Fits in one request

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.

Specifications of Nemotron 3 Super and Qwen3.5-122B-A10B
SpecificationNVIDIA Nemotron 3 SuperQwen3.5-122B-A10B
MakerNVIDIAQwen
WeightsOpen weightsOpen weights
ReleasedMarch 11, 2026February 25, 2026
Context window262K262K
Input $/Mtok$0.085$0.26
Output $/Mtok$0.45$2.08
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nemotron 3 Super 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 Super for output tokens 4.6x cheaper ($0.45 vs $2.08 per million) and work measured by AA Coding Index or SciCode, where it leads.

Which is cheaper, Nemotron 3 Super or Qwen3.5-122B-A10B?

Nemotron 3 Super costs $0.085 per million input tokens and $0.45 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 Super or Qwen3.5-122B-A10B?

Neither: both take 262K tokens.

How many benchmarks is the Nemotron 3 Super vs Qwen3.5-122B-A10B comparison based on?

35 benchmarks have a result for both models as of October 23, 2026. Nemotron 3 Super's coding index rests on 0 independent benchmarks and Qwen3.5-122B-A10B's on 1. Where only one model has a result, the page says so instead of naming a winner.

Compare next