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DeepSeek V4 Flash Vision Exp vs Nemotron 3.5 Super VL

DeepSeek V4 Flash Vision Exp leads Nemotron 3.5 Super VL on the Artificial Analysis Intelligence Index, 34.8 to 26.5, and Nemotron 3.5 Super VL costs 2.6x less per output token ($0.50 vs $1.32 per million). Updated October 22, 2026; 11 benchmarks have a result for both.

DeepSeek V4 Flash Vision ExpDeepSeek
Coding
No data
Overall
56.4
Output $/M
$1.32
9
Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
35.6
Output $/M
$0.50
2
vs boards won of 11 shared

DeepSeek V4 Flash Vision Exp 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 DeepSeek V4 Flash Vision Exp for work measured by LiveBench coding or LiveBench research, where it leads.

Shared results
11
DeepSeek V4 Flash Vision Exp only
3
Nemotron 3.5 Super VL only
5
Like-for-like categories
6 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
DeepSeek V4 Flash Vision Exp not benchmarked, Nemotron 3.5 Super VL not benchmarked.
Widest category
Agentic work, 28.3 points apart on average over 3 shared benchmarks.
Widest single gap
LiveBench browser: DeepSeek V4 Flash Vision Exp 64.0% against Nemotron 3.5 Super VL 4.0%, 60.0 points apart on a 0 to 100 scale.
Output price
DeepSeek V4 Flash Vision Exp $1.32 against Nemotron 3.5 Super VL $0.50 per million output tokens, 2.6x apart.
Context window
Both take 1.05M 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
CategoryDeepSeek V4 Flash Vision ExpBarsNemotron 3.5 Super VLTies
Coding11
Intelligence10
Agentic work21
Reasoning20
Web design10
General20
All shared boards92
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
Coding benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 3.5 Super VLLeader
LiveBench coding37.6%65.5%Nemotron 3.5 Super VL
AA Coding Index65.0Not measuredOnly DeepSeek V4 Flash Vision Exp measured
SciCode49.7%47.8%DeepSeek V4 Flash Vision Exp
Neither model has a result on the other 40 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 3.5 Super VLLeader
AA Intelligence Index34.826.5DeepSeek V4 Flash Vision Exp
Neither model has a result on the other 1 board here
Agentic workLike-for-likePublic boards, shown as published, kept out of the index21
Agentic work benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 3.5 Super VLLeader
AA Agentic Index47.5Not measuredOnly DeepSeek V4 Flash Vision Exp measured
LiveBench research69.2%70.9%Nemotron 3.5 Super VL
LiveBench browser64.0%4.0%DeepSeek V4 Flash Vision Exp
LiveBench long agentic39.0%15.8%DeepSeek V4 Flash Vision Exp
Neither model has a result on the other 38 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index20
Reasoning benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 3.5 Super VLLeader
LiveBench reasoning85.4%78.8%DeepSeek V4 Flash Vision Exp
GPQA Diamond (Artificial Analysis run)91.3%Not measuredOnly DeepSeek V4 Flash Vision Exp measured
Humanity's Last Exam (Artificial Analysis run)34.5%30.7%DeepSeek V4 Flash Vision Exp
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
Math benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 3.5 Super VLLeader
Neither model has a result on 14 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 3.5 Super VLLeader
Neither model has a result on 20 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index10
Web design benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 3.5 Super VLLeader
Design Arena: websitesNot measured1173Only Nemotron 3.5 Super VL measured
Design Arena: UI componentsNot measured1149Only Nemotron 3.5 Super VL measured
Design Arena: game devNot measured1110Only Nemotron 3.5 Super VL measured
Design Arena: 3DNot measured1128Only Nemotron 3.5 Super VL measured
Design Arena: all code categoriesNot measured1154Only Nemotron 3.5 Super VL measured
LiveBench design70.7%60.7%DeepSeek V4 Flash Vision Exp
Neither model has a result on the other 3 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
General benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 3.5 Super VLLeader
LiveBench data analysis79.5%64.6%DeepSeek V4 Flash Vision Exp
Long context reasoning (AA-LCR)81.3%69.0%DeepSeek V4 Flash Vision Exp
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
Image generation benchmarks for DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
BenchmarkDeepSeek V4 Flash Vision ExpNemotron 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

DeepSeek V4 Flash Vision Exp$0.0011Fits 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

DeepSeek V4 Flash Vision Exp$0.026Fits 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

DeepSeek V4 Flash Vision Exp$0.101Fits 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 DeepSeek V4 Flash Vision Exp and Nemotron 3.5 Super VL
SpecificationDeepSeek V4 Flash Vision ExpNVIDIA Nemotron 3.5 Super VL
MakerDeepSeekNVIDIA
WeightsOpen weightsOpen weights
ReleasedAugust 21, 2026October 15, 2026
Context window1.05M1.05M
Input $/Mtok$0.44$0.15
Output $/Mtok$1.32$0.50
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it11
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is DeepSeek V4 Flash Vision Exp 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 DeepSeek V4 Flash Vision Exp for work measured by LiveBench coding or LiveBench research, where it leads.

Which is cheaper, DeepSeek V4 Flash Vision Exp or Nemotron 3.5 Super VL?

DeepSeek V4 Flash Vision Exp costs $0.44 per million input tokens and $1.32 per million output tokens; Nemotron 3.5 Super VL costs $0.15 and $0.50. Cost per solved task is known for neither of them.

Which has the bigger context window, DeepSeek V4 Flash Vision Exp or Nemotron 3.5 Super VL?

Neither: both take 1.05M tokens.

How many benchmarks is the DeepSeek V4 Flash Vision Exp vs Nemotron 3.5 Super VL comparison based on?

11 benchmarks have a result for both models as of October 22, 2026. DeepSeek V4 Flash Vision Exp'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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