Is Nemotron 3.5 Super VL better than Qwen3.6 35B A3B?

On accuracy they are statistically tied: Nemotron 3.5 Super VL scored 40.0% and Qwen3.6 35B A3B 37.5% on the same 80 questions from open datasets. Similar accuracy; Nemotron 3.5 Super VL costs less per question.

Which is cheaper, Nemotron 3.5 Super VL or Qwen3.6 35B A3B?

Nemotron 3.5 Super VL is cheaper: $0.0013 per question as billed, against $0.0037. List prices: Nemotron 3.5 Super VL $0.15 in / $0.5 out, Qwen3.6 35B A3B $0.1 in / $0.95 out per million tokens.

Which is faster, Nemotron 3.5 Super VL or Qwen3.6 35B A3B?

Nemotron 3.5 Super VL is faster at 715 output tokens per second, against 135. Time to first token: 0.6 s for Nemotron 3.5 Super VL, 0.4 s for Qwen3.6 35B A3B.

Which has the larger context window, Nemotron 3.5 Super VL or Qwen3.6 35B A3B?

Nemotron 3.5 Super VL, with 1M tokens against 262k.

Head to head · tested 27 Oct 2026

Nemotron 3.5 Super VL vs Qwen3.6 35B A3B: accuracy, speed and price

Similar accuracy; Nemotron 3.5 Super VL costs less per question.

NVIDIANemotron 3.5 Super VL40.0% score · #58$0.0013 per question715 tok/s

QwenQwen3.6 35B A3B37.5% score · #59$0.0037 per question135 tok/s

Verdict

Built from the measurements below

Accuracy is too close to call: Nemotron 3.5 Super VL scored 40.0% and Qwen3.6 35B A3B 37.5% on the same 80 questions, a gap within what chance alone could produce.
Nemotron 3.5 Super VL is 2.9× cheaper per question as billed ($0.0013 vs $0.0037), reasoning tokens included.
Nemotron 3.5 Super VL generates text 5.3× faster: 715 tokens per second against 135.
Qwen3.6 35B A3B starts answering sooner: 0.4 s to the first token, against 0.6 s for Nemotron 3.5 Super VL.
Nemotron 3.5 Super VL accepts more context: 1M tokens against 262k.

Which should you choose?

Choose Nemotron 3.5 Super VL for the lower cost per correct answer ($0.0032 against $0.0099), faster streaming and a 1M-token context window. Choose Qwen3.6 35B A3B for a quicker first token. The widest subject gap is in medicine: Qwen3.6 35B A3B answered 6 of 11 correctly, Nemotron 3.5 Super VL 2 of 11. With so few questions per subject, treat this as a lead to test on your own prompts, not a result.

Accuracy gap +2.5 points (z = 0.32). A winner is called only when z is at least 1.96, the usual 95% threshold. Speed, latency and price need a 10% margin.

Head to head

Same questions, same prompt, same API

Measure	Nemotron 3.5 Super VL	Qwen3.6 35B A3B	Edge
Verification scoreHigher is better	40.0%	37.5%	Too close to call
Cost per questionLower is better	$0.0013	$0.0037	Nemotron 3.5 Super VL
Output speedHigher is better	715	135	Nemotron 3.5 Super VL
Time to first tokenLower is better	0.6 s	0.4 s	Qwen3.6 35B A3B
End-to-end response timeLower is better	1.5 s	5.6 s	Nemotron 3.5 Super VL
Tokens per questionLower is better	2,771	3,563	Nemotron 3.5 Super VL
Context windowHigher is better	1M	262k	Nemotron 3.5 Super VL

Side by side

Bars are scaled to the larger of the two values. The winner on each measure is marked in bold.

Every measure

Nemotron 3.5 Super VL first, Qwen3.6 35B A3B second

Verification scorehigher is better

Nemotron 3.5 Super VL40.0%

Qwen3.6 35B A3B37.5%

Cost per questionlower is better

Nemotron 3.5 Super VL$0.0013

Qwen3.6 35B A3B$0.0037

Output speedhigher is better

Nemotron 3.5 Super VL715

Qwen3.6 35B A3B135

Time to first tokenlower is better

Nemotron 3.5 Super VL0.6 s

Qwen3.6 35B A3B0.4 s

End-to-end response timelower is better

Nemotron 3.5 Super VL1.5 s

Qwen3.6 35B A3B5.6 s

Tokens per questionlower is better

Nemotron 3.5 Super VL2,771

Qwen3.6 35B A3B3,563

Context windowhigher is better

Nemotron 3.5 Super VL1M

Qwen3.6 35B A3B262k

Score vs. cost per question

Both models in color, every other model in grey

Results by subject and dataset

Questions answered correctly. Small samples: a gap of one or two questions is noise.

Subject	Questions	Nemotron 3.5 Super VL	Qwen3.6 35B A3B
Science	30	13/30	9/30
Engineering	15	4/15	2/15
Medicine	11	2/11	6/11
Economics	9	6/9	5/9
Law	6	0/6	1/6
Humanities & social science	9	7/9	7/9
SuperGPQA dataset	50	12/50	9/50
MMLU-Pro dataset	30	20/30	21/30

Specifications and pricing

From OpenRouter's catalogue, plus the leaderboard's test dates

Specification	Nemotron 3.5 Super VL	Qwen3.6 35B A3B
Creator	NVIDIA	Qwen
Released	15 Oct 2026	27 Apr 2026
Weights	Open weights	Open weights
Reasoning	Yes	Yes
Input	text, image, video	text, image, video
Output	text	text
Context window	1M tokens	262k tokens
Knowledge cutoff	—	—
List price in / out per 1M	$0.15 / $0.5	$0.1 / $0.95
Blended price per 1M (3:1)	$0.24	$0.31
Cheapest host	Darkbloom · $0.06 / $0.35	Darkbloom · $0.05 / $0.7
Hosts on OpenRouter	9	10
Last tested	27 Oct 2026	26 Oct 2026

Compare any two models →

Nemotron 3.5 Super VL vs Qwen3.6 35B A3B: frequently asked questions

Is Nemotron 3.5 Super VL better than Qwen3.6 35B A3B?: On accuracy they are statistically tied: Nemotron 3.5 Super VL scored 40.0% and Qwen3.6 35B A3B 37.5% on the same 80 questions from open datasets. Similar accuracy; Nemotron 3.5 Super VL costs less per question.
Which is cheaper, Nemotron 3.5 Super VL or Qwen3.6 35B A3B?: Nemotron 3.5 Super VL is cheaper: $0.0013 per question as billed, against $0.0037. List prices: Nemotron 3.5 Super VL $0.15 in / $0.5 out, Qwen3.6 35B A3B $0.1 in / $0.95 out per million tokens.
Which is faster, Nemotron 3.5 Super VL or Qwen3.6 35B A3B?: Nemotron 3.5 Super VL is faster at 715 output tokens per second, against 135. Time to first token: 0.6 s for Nemotron 3.5 Super VL, 0.4 s for Qwen3.6 35B A3B.
Which has the larger context window, Nemotron 3.5 Super VL or Qwen3.6 35B A3B?: Nemotron 3.5 Super VL, with 1M tokens against 262k.