API cost decision in 10 seconds

Nemotron 3 Super vs LFM2-24B-A2B

Pick LFM2-24B-A2B for lower cost; pick Nemotron 3 Super only if the larger context window matters more.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick LFM2-24B-A2B for lower cost; pick Nemotron 3 Super only if the larger context window matters more.

On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.32 for Nemotron 3 Super, saving $0.23 (71.4% lower).

Cost-first pickLFM2-24B-A2B
Context-first pickNemotron 3 Super
Sample savings$0.2371.4%
10x traffic gap$2.25

Nemotron 3 Super has more context, but LFM2-24B-A2B saves $0.23 on the standard workload. At 10x that traffic, the same price gap is about $2.25. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

LFM2-24B-A2B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickNemotron 3 SuperLFM2-24B-A2B
Input-heavy / RAG5M input + 500K outputLFM2-24B-A2B$0.68$0.21
Balanced workload1M input + 1M outputLFM2-24B-A2B$0.54$0.15
Output-heavy chatbot1M input + 5M outputLFM2-24B-A2B$2.34$0.63
Cheaper input LFM2-24B-A2B $0.09 vs $0.03 / 1M

LFM2-24B-A2B is $0.06 cheaper per 1M input tokens (66.7% lower; 3x difference).

Cheaper output LFM2-24B-A2B $0.45 vs $0.12 / 1M

LFM2-24B-A2B is $0.33 cheaper per 1M output tokens (73.3% lower; 3.75x difference).

Larger context Nemotron 3 Super 1M vs 128K

Nemotron 3 Super has 872K more context (7.81x larger).

Sample workload LFM2-24B-A2B $0.32 vs $0.09

LFM2-24B-A2B is $0.23 cheaper on the standard workload (71.4% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Nemotron 3 Super Calculating… Estimated API cost
LFM2-24B-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

LFM2-24B-A2B has the lower input price; LFM2-24B-A2B has the lower output price; Nemotron 3 Super offers the larger context window. For the 1M input plus 500K output sample, LFM2-24B-A2B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.32 for Nemotron 3 Super and $0.09 for LFM2-24B-A2B.

Best Fit

Choose Nemotron 3 Super when you care most about larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.32 for Nemotron 3 Super, saving $0.23 (71.4% lower).
  • LFM2-24B-A2B is $0.23 cheaper on the standard workload (71.4% lower).
  • LFM2-24B-A2B is $0.06 cheaper per 1M input tokens (66.7% lower; 3x difference).
  • LFM2-24B-A2B is $0.33 cheaper per 1M output tokens (73.3% lower; 3.75x difference).
  • Nemotron 3 Super has 872K more context (7.81x larger).
Head-to-Head Specs
FeatureNemotron 3 Super
(NVIDIA)
LFM2-24B-A2B
(LiquidAI)
Input Price
prompt tokens per 1M
$0.09$0.03
Completion Price
per 1M tokens
$0.45$0.12
Sample Workload Cost
1M input + 500K output
$0.32$0.09
Context Window1M128K
Release Date

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionLFM2-24B-A2BOn the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $0.32 for Nemotron 3 Super, saving $0.23 (71.4% lower).
High-volume input processingLFM2-24B-A2BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsLFM2-24B-A2BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workNemotron 3 SuperA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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NVIDIA catalog

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LiquidAI catalog

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Nemotron 3 Super

NVIDIA Nemotron 3 Super is a 120B-parameter open hybrid MoE model, activating just 12B parameters for maximum compute efficiency and accuracy in complex multi-agent applications. Built on a hybrid Mamba-Transformer...

LFM2-24B-A2B

LFM2-24B-A2B is the largest model in the LFM2 family of hybrid architectures designed for efficient on-device deployment. Built as a 24B parameter Mixture-of-Experts model with only 2B active parameters per...