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Model comparison

LFM2.5-24B-A2B vs Nemotron 3.5 Lightning

Liquid AILFM2.5-24B-A2B
Input
$0.10
Output
$1.00
Context
128K
Released
2026-10-13
Full model page →NVIDIANemotron 3.5 Lightning
Input
$0.08
Output
$0.20
Context
1M (256K on a single H100)
Released
2026-08-11
Full model page →
Short answer

Nemotron 3.5 Lightning scores higher on 3 of the 5 benchmarks both models report (the other leads on 2); Nemotron 3.5 Lightning is cheaper on input tokens ($0.1 vs $0.1 per 1M, 1.3×); Nemotron 3.5 Lightning has the larger context window (1M vs 128K).

Specs and pricing side by side

SpecLFM2.5-24B-A2BNemotron 3.5 Lightning
MakerLiquid AINVIDIA
Released2026-10-132026-08-11
Context window128K1M (256K on a single H100)
Input price$0.10$0.08
Output price$1.00$0.20
Parameters24.0B total · 2.45B active30B total · 3B active (Mixture-of-Experts)
LicenseLFM Open License v1.0OpenMDW-1.1
WeightsOpen weightsOpen weightssame
ModalitiesTextTextsame
Knowledge cutoffnot publishedSeptember 2025 (pre-training); May 2026…

Not published by either maker: max output.

Benchmarks both models report

BenchmarkLFM2.5-24B-A2BNemotron 3.5 Lightning
PinchBench83.18%85.37%
IFBench74.69%71.88%
GPQA Diamond74.42%75.44%
SWE-Bench Verified51%51.56%
SciCode32.71%32.6%

Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.

Which one should you pick?

Pick LFM2.5-24B-A2B if…

  • You care about IFBench, SciCode (it scores higher on 2 shared benchmarks).
  • Your use case is: running a private coding or personal agent locally on a Mac or AMD laptop through an OpenAI-compatible server and a harness such as Hermes, OpenClaw or Pi.

Pick Nemotron 3.5 Lightning if…

  • You care about PinchBench, GPQA Diamond, SWE-Bench Verified (it scores higher on 3 shared benchmarks).
  • Cost matters: input tokens cost 1.3× less ($0.1 vs $0.1 per 1M).
  • You need the longer context (1M vs 128K).
  • Your use case is: the execution tier of an agent stack, handling routine tool calls and sub-steps while a larger model makes the hard decisions.

FAQ

Which is better, LFM2.5-24B-A2B or Nemotron 3.5 Lightning?

Nemotron 3.5 Lightning scores higher on 3 of the 5 benchmarks both models report (the other leads on 2); Nemotron 3.5 Lightning is cheaper on input tokens ($0.1 vs $0.1 per 1M, 1.3×); Nemotron 3.5 Lightning has the larger context window (1M vs 128K). The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.

How much cheaper is Nemotron 3.5 Lightning?

LFM2.5-24B-A2B: $0.10 input, $1.00 output. Nemotron 3.5 Lightning: $0.08 input, $0.20 output (list API prices as published by each maker).

What are the context windows of LFM2.5-24B-A2B and Nemotron 3.5 Lightning?

LFM2.5-24B-A2B offers 128K; Nemotron 3.5 Lightning offers 1M (256K on a single H100).

Is LFM2.5-24B-A2B newer than Nemotron 3.5 Lightning?

LFM2.5-24B-A2B was released 2026-10-13; Nemotron 3.5 Lightning was released 2026-08-11.

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