Nemotron 3.5 Super VL vs ReMM SLERP 13B

Nemotron 3.5 Super VL costs 1.3x less per output token than ReMM SLERP 13B ($0.50 vs $0.65 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Replace Nemotron 3.5 Super VL Replace ReMM SLERP 13B

Nemotron 3.5 Super VLNVIDIA

Coding: No data
Overall: 35.6
Output $/M: $0.50

U ReMM SLERP 13BUndi95

Coding: No data
Overall: No data
Output $/M: $0.65

vs $0.50 vs $0.65 per 1M output tokens. Nemotron 3.5 Super VL is 1.3x cheaper.

Nemotron 3.5 Super VL or ReMM SLERP 13B: 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 output tokens 1.3x cheaper ($0.50 vs $0.65 per million) and a larger context window (1.05M against 6K tokens).

Model ANemotron 3.5 Super VLNVIDIANot benchmarked1 independent benchmarkNo cost per solved task Model BReMM SLERP 13BUndi95Not benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Nemotron 3.5 Super VL has results on LiveBench coding, SciCode and AA Intelligence Index; ReMM SLERP 13B has none yet. Compare them on price and context instead.

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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Nemotron 3.5 Super VL has a AA Intelligence Index result, 26.5.
Directional only
Web design
Design Arena: websites
No call
Only Nemotron 3.5 Super VL has a Design Arena: websites result, 1172.
Directional only
Long documents
Listed context window
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL takes 1.05M tokens against 6K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nemotron 3.5 Super VL
Nemotron 3.5 Super VL $0.0004, ReMM SLERP 13B $0.0007 per turn.
List prices

At a glance

Coding index: Nemotron 3.5 Super VL not benchmarked, ReMM SLERP 13B not benchmarked.
Widest category: None yet: no category has been tested on both models.
Widest single gap: None yet: no benchmark has tested both models.
Output price: Nemotron 3.5 Super VL $0.50 against ReMM SLERP 13B $0.65 per million output tokens, 1.3x apart.
Context window: Nemotron 3.5 Super VL takes 1.05M tokens, ReMM SLERP 13B 6K.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured

Coding benchmarks for Nemotron 3.5 Super VL and ReMM SLERP 13B
Benchmark	Nemotron 3.5 Super VL	ReMM SLERP 13B	Leader
LiveBench coding	65.5%	Not measured	Only Nemotron 3.5 Super VL measured
SciCode	47.8%	Not measured	Only Nemotron 3.5 Super VL measured
Neither model has a result on the other 41 boards here

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Intelligence benchmarks for Nemotron 3.5 Super VL and ReMM SLERP 13B
Benchmark	Nemotron 3.5 Super VL	ReMM SLERP 13B	Leader
AA Intelligence Index	26.5	Not measured	Only Nemotron 3.5 Super VL measured
Neither model has a result on the other 1 board here

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured

Agentic work benchmarks for Nemotron 3.5 Super VL and ReMM SLERP 13B
Benchmark	Nemotron 3.5 Super VL	ReMM SLERP 13B	Leader
LiveBench research	70.9%	Not measured	Only Nemotron 3.5 Super VL measured
LiveBench browser	4.0%	Not measured	Only Nemotron 3.5 Super VL measured
LiveBench long agentic	15.8%	Not measured	Only Nemotron 3.5 Super VL measured
Neither model has a result on the other 39 boards here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

Reasoning benchmarks for Nemotron 3.5 Super VL and ReMM SLERP 13B
Benchmark	Nemotron 3.5 Super VL	ReMM SLERP 13B	Leader
LiveBench reasoning	78.8%	Not measured	Only Nemotron 3.5 Super VL measured
Humanity's Last Exam (Artificial Analysis run)	30.7%	Not measured	Only Nemotron 3.5 Super VL measured
Neither model has a result on the other 21 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured

Web design benchmarks for Nemotron 3.5 Super VL and ReMM SLERP 13B
Benchmark	Nemotron 3.5 Super VL	ReMM SLERP 13B	Leader
Design Arena: websites	1172	Not measured	Only Nemotron 3.5 Super VL measured
Design Arena: UI components	1148	Not measured	Only Nemotron 3.5 Super VL measured
Design Arena: game dev	1110	Not measured	Only Nemotron 3.5 Super VL measured
Design Arena: 3D	1127	Not measured	Only Nemotron 3.5 Super VL measured
Design Arena: all code categories	1154	Not measured	Only Nemotron 3.5 Super VL measured
LiveBench design	60.7%	Not measured	Only Nemotron 3.5 Super VL measured
Neither model has a result on the other 3 boards here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

General benchmarks for Nemotron 3.5 Super VL and ReMM SLERP 13B
Benchmark	Nemotron 3.5 Super VL	ReMM SLERP 13B	Leader
LiveBench data analysis	64.6%	Not measured	Only Nemotron 3.5 Super VL measured
Long context reasoning (AA-LCR)	69.0%	Not measured	Only Nemotron 3.5 Super VL measured
Neither model has a result on the other 46 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

ReMM SLERP 13B$0.0007Fits in one request

Nemotron 3.5 Super VL costs less

Repository review

50K input + 3K output tokens

Nemotron 3.5 Super VL$0.0090Fits in one request

ReMM SLERP 13B$0.019Exceeds the context window

Nemotron 3.5 Super VL costs less

Agent loop

200K input + 10K output tokens

Nemotron 3.5 Super VL$0.035Fits in one request

ReMM SLERP 13B$0.076Exceeds the context window

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 Nemotron 3.5 Super VL and ReMM SLERP 13B
Specification	NVIDIA Nemotron 3.5 Super VL	ReMM SLERP 13B
Maker	NVIDIA	Undi95
Weights	Open weights	Open weights
Released	October 15, 2026	July 22, 2023
Context window	1.05M	6K
Input $/Mtok	$0.15	$0.35
Output $/Mtok	$0.50	$0.65
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	1	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Nemotron 3.5 Super VL better than ReMM SLERP 13B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nemotron 3.5 Super VL for output tokens 1.3x cheaper ($0.50 vs $0.65 per million) and a larger context window (1.05M against 6K tokens).

Which is cheaper, Nemotron 3.5 Super VL or ReMM SLERP 13B?

Nemotron 3.5 Super VL costs $0.15 per million input tokens and $0.50 per million output tokens; ReMM SLERP 13B costs $0.35 and $0.65. Cost per solved task is known for neither of them.

Which has the bigger context window, Nemotron 3.5 Super VL or ReMM SLERP 13B?

Nemotron 3.5 Super VL, with 1.05M tokens against 6K.

Has any benchmark tested both Nemotron 3.5 Super VL and ReMM SLERP 13B?

No benchmark has tested both yet. Nemotron 3.5 Super VL has results on LiveBench coding, SciCode and AA Intelligence Index; ReMM SLERP 13B has none yet. Compare them on price and context instead. Data as of October 23, 2026.

Nemotron 3.5 Super VL or ReMM SLERP 13B: which to pick

Which one for your work

Coding

Intelligence

Web design

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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