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Command A vs Nemotron 3.5 Super VL

Nemotron 3.5 Super VL leads Command A on the Artificial Analysis Intelligence Index, 26.5 to 13.1, and Nemotron 3.5 Super VL costs 20.0x less per output token ($0.50 vs $10.00 per million). Updated October 21, 2026; 4 benchmarks have a result for both.

Command ACohere
Coding
No data
Overall
13.1
Output $/M
$10.00
0
Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
26.5
Output $/M
$0.50
4
vs boards won of 4 shared

Command A or Nemotron 3.5 Super VL: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Command A for work measured by SciCode or AA Intelligence Index, where it leads.

Shared results
4
Command A only
56
Nemotron 3.5 Super VL only
12
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.

At a glance

Coding index
Command A not benchmarked, Nemotron 3.5 Super VL not benchmarked.
Widest category
Reasoning, 18.7 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Command A 12.0% against Nemotron 3.5 Super VL 30.7%, 18.7 points apart on a 0 to 100 scale.
Output price
Command A $10.00 against Nemotron 3.5 Super VL $0.50 per million output tokens, 20.0x apart.
Context window
Command A takes 256K tokens, Nemotron 3.5 Super VL 1.05M.

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
CategoryCommand ABarsNemotron 3.5 Super VLTies
Coding01
Intelligence01
Reasoning01
General01
All shared boards04
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
LiveBench codingNot measured65.5%Only Nemotron 3.5 Super VL measured
AA Coding Index27.8Not measuredOnly Command A measured
LiveCodeBench (Vals AI)35.1%Not measuredOnly Command A measured
SWE-bench Verified (Vals AI)7.8%Not measuredOnly Command A measured
Terminal-Bench 2.1 (Vals AI)17.6%Not measuredOnly Command A measured
LiveCodeBench (Artificial Analysis run)28.7%Not measuredOnly Command A measured
SciCode38.5%47.8%Nemotron 3.5 Super VL
Terminal-Bench Hard (Artificial Analysis run)25.0%Not measuredOnly Command A measured
LMArena Text: coding1330Not measuredOnly Command A measured
LMArena Text: software and IT1336Not measuredOnly Command A measured
Neither model has a result on the other 28 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
AA Intelligence Index13.126.5Nemotron 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 index6 boards, none shared
Agentic work benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
AA Agentic Index1.0Not measuredOnly Command A measured
LiveBench researchNot measured70.9%Only Nemotron 3.5 Super VL measured
LiveBench browserNot measured4.0%Only Nemotron 3.5 Super VL measured
LiveBench long agenticNot measured15.8%Only Nemotron 3.5 Super VL measured
Finance Agent (Vals AI)9.0%Not measuredOnly Command A measured
τ²-Bench Telecom80.7%Not measuredOnly Command A measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
GPQA Diamond48.5%Not measuredOnly Command A measured
LiveBench reasoningNot measured78.8%Only Nemotron 3.5 Super VL measured
GPQA Diamond (Artificial Analysis run)76.1%Not measuredOnly Command A measured
Humanity's Last Exam (Artificial Analysis run)12.0%30.7%Nemotron 3.5 Super VL
LMArena Text: hard prompts1326Not measuredOnly Command A measured
LMArena Text: expert1296Not measuredOnly Command A measured
LMArena Text: hard prompts in English1335Not measuredOnly Command A measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
AIME13.3%Not measuredOnly Command A measured
MATH 500 (Vals AI)76.2%Not measuredOnly Command A measured
MGSM (Vals AI)85.7%Not measuredOnly Command A measured
AA Math Index13.0Not measuredOnly Command A measured
AIME 2025 (Artificial Analysis run)13.0%Not measuredOnly Command A measured
LMArena Text: math1300Not measuredOnly Command A measured
LMArena Text: mathematical work1312Not measuredOnly Command A measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
MMLU Pro69.2%Not measuredOnly Command A measured
LegalBench (Vals AI)79.7%Not measuredOnly Command A measured
CaseLaw (Vals AI)64.5%Not measuredOnly Command A measured
CorpFin (Vals AI)46.0%Not measuredOnly Command A measured
TaxEval (Vals AI)61.4%Not measuredOnly Command A measured
MedQA (Vals AI)80.5%Not measuredOnly Command A measured
MedCode (Vals AI)19.7%Not measuredOnly Command A measured
MMLU Pro (Artificial Analysis run)71.2%Not measuredOnly Command A measured
LMArena Text: science1339Not measuredOnly Command A measured
LMArena Text: medicine and healthcare1334Not measuredOnly Command A measured
LMArena Text: legal and government1348Not measuredOnly Command A measured
LMArena Text: business and finance1315Not measuredOnly Command A measured
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
Design Arena: websitesNot measured1172Only Nemotron 3.5 Super VL measured
Design Arena: UI componentsNot measured1143Only Nemotron 3.5 Super VL measured
Design Arena: game devNot measured1109Only Nemotron 3.5 Super VL measured
Design Arena: 3DNot measured1129Only Nemotron 3.5 Super VL measured
Design Arena: all code categoriesNot measured1156Only Nemotron 3.5 Super VL measured
LiveBench designNot measured60.7%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
General benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
LiveBench data analysisNot measured64.6%Only Nemotron 3.5 Super VL measured
MedScribe (Vals AI)55.7%Not measuredOnly Command A measured
IFBench73.9%Not measuredOnly Command A measured
Long context reasoning (AA-LCR)52.7%69.0%Nemotron 3.5 Super VL
DTBench61.3%Not measuredOnly Command A measured
LMCA10.3%Not measuredOnly Command A measured
LMArena Text1331Not measuredOnly Command A measured
LMArena Text: instruction following1309Not measuredOnly Command A measured
LMArena Text: creative writing1319Not measuredOnly Command A measured
LMArena Text: English1344Not measuredOnly Command A measured
LMArena Text: non-English1313Not measuredOnly Command A measured
LMArena Text: Chinese1327Not measuredOnly Command A measured
LMArena Text: German1342Not measuredOnly Command A measured
LMArena Text: Japanese1285Not measuredOnly Command A measured
LMArena Text: Korean1285Not measuredOnly Command A measured
LMArena Text: French1351Not measuredOnly Command A measured
LMArena Text: Spanish1347Not measuredOnly Command A measured
LMArena Text: Russian1314Not measuredOnly Command A measured
LMArena Text: Polish1324Not measuredOnly Command A measured
LMArena Text: multi-turn1338Not measuredOnly Command A measured
LMArena Text: longer queries1334Not measuredOnly Command A measured
LMArena Text: writing and language1328Not measuredOnly Command A measured
LMArena Text: entertainment and media1306Not measuredOnly Command A measured
Neither model has a result on the other 23 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Command A and Nemotron 3.5 Super VL
BenchmarkCommand ANemotron 3.5 Super VLLeader
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

Command A$0.0075Fits in one request
Nemotron 3.5 Super VL$0.0004Fits in one request

Nemotron 3.5 Super VL costs less

Repository review

50K input + 3K output tokens

Command A$0.155Fits in one request
Nemotron 3.5 Super VL$0.0090Fits in one request

Nemotron 3.5 Super VL costs less

Agent loop

200K input + 10K output tokens

Command A$0.600Fits in one request
Nemotron 3.5 Super VL$0.035Fits in one request

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.

Specifications of Command A and Nemotron 3.5 Super VL
SpecificationCohere Command ANVIDIA Nemotron 3.5 Super VL
MakerCohereNVIDIA
WeightsOpen weightsOpen weights
ReleasedMarch 13, 2025October 15, 2026
Context window256K1.05M
Input $/Mtok$2.50$0.15
Output $/Mtok$10.00$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved task$2.69Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Command A better than Nemotron 3.5 Super VL for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Command A for work measured by SciCode or AA Intelligence Index, where it leads.

Which is cheaper, Command A or Nemotron 3.5 Super VL?

Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Nemotron 3.5 Super VL costs $0.15 and $0.50. Cost per solved task is known for Command A only.

Which has the bigger context window, Command A or Nemotron 3.5 Super VL?

Nemotron 3.5 Super VL, with 1.05M tokens against 256K.

How many benchmarks is the Command A vs Nemotron 3.5 Super VL comparison based on?

4 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark 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.

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