API cost decision in 10 seconds

NewNemotron 3.5 Super VL vs NewLFM2.5-24B-A2B

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated: 2026-10-15T17:07:50Z Data confirmed: 2026-10-15T18:08:37Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0.4 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickNemotron 3.5 Super VL

Sample savings$00%

10x traffic gap$0

Context-window winner: Nemotron 3.5 Super VL. Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors LFM2.5-24B-A2B, balanced workload favors Nemotron 3.5 Super VL, and output-heavy chatbot favors Nemotron 3.5 Super VL.

Workload shape	Token mix	Better pick	Nemotron 3.5 Super VL	LFM2.5-24B-A2B
Input-heavy / RAG	5M input + 500K output	LFM2.5-24B-A2B	$1	$0.6
Balanced workload	1M input + 1M output	Nemotron 3.5 Super VL	$0.65	$0.75
Output-heavy chatbot	1M input + 5M output	Nemotron 3.5 Super VL	$2.65	$3.55

Cheaper input LFM2.5-24B-A2B $0.15 vs $0.05 / 1M

LFM2.5-24B-A2B is $0.1 cheaper per 1M input tokens (66.7% lower; 3x difference).

Cheaper output Nemotron 3.5 Super VL $0.5 vs $0.7 / 1M

Nemotron 3.5 Super VL is $0.2 cheaper per 1M output tokens (28.6% lower; 1.4x difference).

Larger context Nemotron 3.5 Super VL 1.05M vs 128K

Nemotron 3.5 Super VL has 920.58K more context (8.19x larger).

Sample workload LFM2.5-24B-A2B $0.4 vs $0.4

LFM2.5-24B-A2B is $0 cheaper on the standard workload (0% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

Nemotron 3.5 Super VL Calculating… Estimated API cost

LFM2.5-24B-A2B Calculating… Estimated API cost

Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

LFM2.5-24B-A2B has the lower input price; Nemotron 3.5 Super VL has the lower output price; Nemotron 3.5 Super VL offers the larger context window. For the 1M input plus 500K output sample, LFM2.5-24B-A2B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.4 for Nemotron 3.5 Super VL and $0.4 for LFM2.5-24B-A2B.

Best Fit

Choose Nemotron 3.5 Super VL when you care most about lower output-token price, and larger context window.

Choose LFM2.5-24B-A2B when you care most about lower input-token price.

Decision Notes

Both models are estimated at $0.4 for the standard 1M input plus 500K output workload.
LFM2.5-24B-A2B is $0 cheaper on the standard workload (0% lower).
LFM2.5-24B-A2B is $0.1 cheaper per 1M input tokens (66.7% lower; 3x difference).
Nemotron 3.5 Super VL is $0.2 cheaper per 1M output tokens (28.6% lower; 1.4x difference).
Nemotron 3.5 Super VL has 920.58K more context (8.19x larger).

Head-to-Head Specs

Feature	NewNemotron 3.5 Super VL (NVIDIA)	NewLFM2.5-24B-A2B (LiquidAI)
Input Price prompt tokens per 1M	$0.15	$0.05
Completion Price per 1M tokens	$0.5	$0.7
Sample Workload Cost 1M input + 500K output	$0.4	$0.4
Context Window	1.05M	128K
Release Date	2026-10-15	2026-10-13

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $0.4 for the standard 1M input plus 500K output workload.
High-volume input processing	LFM2.5-24B-A2B	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Nemotron 3.5 Super VL	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	Nemotron 3.5 Super VL	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

Nemotron 3 Ultra (free) can replace Nemotron 3.5 Super VL when lower sample workload cost matters most: $0.
Nemotron 3.5 Super VL (free) can replace Nemotron 3.5 Super VL when lower sample workload cost matters most: $0.
Nemotron 3.5 Lightning (free) can replace Nemotron 3.5 Super VL when lower sample workload cost matters most: $0.
Nemotron 3.5 Content Safety (free) can replace Nemotron 3.5 Super VL when lower sample workload cost matters most: $0.

Larger context near this budget

Llama 4 Scout offers 1.31M context with $0.47 sample workload cost.
MiMo-V2.6-Flash offers 1.05M context with $0.28 sample workload cost.
GPT-6 Luna offers 1.05M context with $0.35 sample workload cost.
GPT-6 Luna Pro offers 1.05M context with $0.35 sample workload cost.

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Cheaper alternatives

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Larger context alternatives

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

NVIDIA catalog

Review all tracked NVIDIA models before deciding whether this matchup is the right shortlist.

Open NVIDIA models

LiquidAI catalog

Check other LiquidAI models with comparable pricing, context, or release timing.

Open LiquidAI models

Nemotron 3.5 Super VL

NVIDIA Nemotron 3.5 Super VL is an open multimodal mixture-of-experts model from NVIDIA, with 12B active parameters out of 120B total. It takes text, images, documents, GUI screenshots, and video...

LFM2.5-24B-A2B

LFM2.5-24B-A2B is a mixture-of-experts reasoning model from Liquid AI with 24B total and 2.45B active parameters. It always reasons before answering and is built for agents that call tools. Liquid...