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Nemotron 3.5 Super VL vs Reka Flash 3

Nemotron 3.5 Super VL leads Reka Flash 3 on the Artificial Analysis Intelligence Index, 26.5 to 6.4, and Reka Flash 3 costs 2.5x less per output token ($0.20 vs $0.50 per million). Updated October 23, 2026; 3 benchmarks have a result for both.

Nemotron 3.5 Super VLNVIDIA
Coding
No data
Overall
35.6
Output $/M
$0.50
3
Reka Flash 3Reka
Coding
No data
Overall
No data
Output $/M
$0.20
0
vs boards won of 3 shared

Nemotron 3.5 Super VL or Reka Flash 3: 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 a larger context window (1.05M against 66K tokens).

Shared results
3
Nemotron 3.5 Super VL only
13
Reka Flash 3 only
9
Like-for-like categories
3 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 3.5 Super VL not benchmarked, Reka Flash 3 not benchmarked.
Widest category
General, 69.0 points apart on average over 1 shared benchmark.
Widest single gap
Long context reasoning (AA-LCR): Nemotron 3.5 Super VL 69.0% against Reka Flash 3 0.0%, 69.0 points apart on a 0 to 100 scale.
Output price
Nemotron 3.5 Super VL $0.50 against Reka Flash 3 $0.20 per million output tokens, 2.5x apart.
Context window
Nemotron 3.5 Super VL takes 1.05M tokens, Reka Flash 3 66K.

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 3.5 Super VLBarsReka Flash 3Ties
Intelligence10
Reasoning10
General10
All shared boards30
CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared
Coding benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
LiveBench coding65.5%Not measuredOnly Nemotron 3.5 Super VL measured
LiveCodeBench (Artificial Analysis run)Not measured43.5%Only Reka Flash 3 measured
SciCode47.8%Not measuredOnly Nemotron 3.5 Super VL measured
Terminal-Bench Hard (Artificial Analysis run)Not measured0.0%Only Reka Flash 3 measured
Neither model has a result on the other 39 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
AA Intelligence Index26.56.4Nemotron 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 index5 boards, none shared
Agentic work benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
LiveBench research70.9%Not measuredOnly Nemotron 3.5 Super VL measured
LiveBench browser4.0%Not measuredOnly Nemotron 3.5 Super VL measured
LiveBench long agentic15.8%Not measuredOnly Nemotron 3.5 Super VL measured
τ²-Bench TelecomNot measured0.0%Only Reka Flash 3 measured
BALROGNot measured29.2%Only Reka Flash 3 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index10
Reasoning benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
LiveBench reasoning78.8%Not measuredOnly Nemotron 3.5 Super VL measured
GPQA Diamond (Artificial Analysis run)Not measured52.9%Only Reka Flash 3 measured
Humanity's Last Exam (Artificial Analysis run)30.7%4.4%Nemotron 3.5 Super VL
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Math benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
AA Math IndexNot measured33.7Only Reka Flash 3 measured
AIME 2025 (Artificial Analysis run)Not measured33.7%Only Reka Flash 3 measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
MMLU Pro (Artificial Analysis run)Not measured66.9%Only Reka Flash 3 measured
Neither model has a result on the other 19 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Web design benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
Design Arena: websites1172Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: UI components1148Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: game dev1110Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: 3D1127Not measuredOnly Nemotron 3.5 Super VL measured
Design Arena: all code categories1154Not measuredOnly Nemotron 3.5 Super VL measured
LiveBench design60.7%Not measuredOnly 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 index10
General benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
LiveBench data analysis64.6%Not measuredOnly Nemotron 3.5 Super VL measured
IFBenchNot measured30.4%Only Reka Flash 3 measured
Long context reasoning (AA-LCR)69.0%0.0%Nemotron 3.5 Super VL
Neither model has a result on the other 45 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Nemotron 3.5 Super VL and Reka Flash 3
BenchmarkNemotron 3.5 Super VLReka Flash 3Leader
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$0.0004Fits in one request
Reka Flash 3$0.0002Fits in one request

Reka Flash 3 costs less

Repository review

50K input + 3K output tokens

Nemotron 3.5 Super VL$0.0090Fits in one request
Reka Flash 3$0.0056Fits in one request

Reka Flash 3 costs less

Agent loop

200K input + 10K output tokens

Nemotron 3.5 Super VL$0.035Fits in one request
Reka Flash 3$0.022Exceeds the context window

Reka Flash 3 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 3.5 Super VL and Reka Flash 3
SpecificationNVIDIA Nemotron 3.5 Super VLReka Flash 3
MakerNVIDIAReka
WeightsOpen weightsOpen weights
ReleasedOctober 15, 2026March 12, 2025
Context window1.05M66K
Input $/Mtok$0.15$0.10
Output $/Mtok$0.50$0.20
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nemotron 3.5 Super VL better than Reka Flash 3 for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for a larger context window (1.05M against 66K tokens).

Which is cheaper, Nemotron 3.5 Super VL or Reka Flash 3?

Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; Reka Flash 3 costs $0.10 and $0.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Nemotron 3.5 Super VL or Reka Flash 3?

Nemotron 3.5 Super VL, with 1.05M tokens against 66K.

How many benchmarks is the Nemotron 3.5 Super VL vs Reka Flash 3 comparison based on?

3 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 Reka Flash 3's on 0. Where only one model has a result, the page says so instead of naming a winner.

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