API cost decision in 10 seconds

Gemma 3 4B vs LFM2-24B-A2B

Pick Gemma 3 4B when budget and context both matter.

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

Budget verdict

Pick Gemma 3 4B when budget and context both matter.

On the standard 1M input plus 500K output workload, Gemma 3 4B is estimated at $0.08 vs $0.09 for LFM2-24B-A2B, saving $0.01 (11.1% lower).

Cost-first pickGemma 3 4B
Context-first pickGemma 3 4B
Sample savings$0.0111.1%
10x traffic gap$0.1

Gemma 3 4B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.1. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors LFM2-24B-A2B, balanced workload favors Gemma 3 4B, and output-heavy chatbot favors Gemma 3 4B.

Workload shapeToken mixBetter pickGemma 3 4BLFM2-24B-A2B
Input-heavy / RAG5M input + 500K outputLFM2-24B-A2B$0.24$0.21
Balanced workload1M input + 1M outputGemma 3 4B$0.12$0.15
Output-heavy chatbot1M input + 5M outputGemma 3 4B$0.44$0.63
Cheaper input LFM2-24B-A2B $0.04 vs $0.03 / 1M

LFM2-24B-A2B is $0.01 cheaper per 1M input tokens (25% lower; 1.33x difference).

Cheaper output Gemma 3 4B $0.08 vs $0.12 / 1M

Gemma 3 4B is $0.04 cheaper per 1M output tokens (33.3% lower; 1.5x difference).

Larger context Gemma 3 4B 131.07K vs 128K

Gemma 3 4B has 3.07K more context (1.02x larger).

Sample workload Gemma 3 4B $0.08 vs $0.09

Gemma 3 4B is $0.01 cheaper on the standard workload (11.1% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Gemma 3 4B 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; Gemma 3 4B has the lower output price; Gemma 3 4B offers the larger context window. For the 1M input plus 500K output sample, Gemma 3 4B is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.08 for Gemma 3 4B and $0.09 for LFM2-24B-A2B.

Best Fit

Choose Gemma 3 4B when you care most about lower output-token price, and larger context window.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, Gemma 3 4B is estimated at $0.08 vs $0.09 for LFM2-24B-A2B, saving $0.01 (11.1% lower).
  • Gemma 3 4B is $0.01 cheaper on the standard workload (11.1% lower).
  • LFM2-24B-A2B is $0.01 cheaper per 1M input tokens (25% lower; 1.33x difference).
  • Gemma 3 4B is $0.04 cheaper per 1M output tokens (33.3% lower; 1.5x difference).
  • Gemma 3 4B has 3.07K more context (1.02x larger).
Head-to-Head Specs
FeatureGemma 3 4B
(Google)
LFM2-24B-A2B
(LiquidAI)
Input Price
prompt tokens per 1M
$0.04$0.03
Completion Price
per 1M tokens
$0.08$0.12
Sample Workload Cost
1M input + 500K output
$0.08$0.09
Context Window131.07K128K
Release Date
Popularity#93#118

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productionGemma 3 4BOn the standard 1M input plus 500K output workload, Gemma 3 4B is estimated at $0.08 vs $0.09 for LFM2-24B-A2B, saving $0.01 (11.1% lower).
High-volume input processingLFM2-24B-A2BLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGemma 3 4BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workGemma 3 4BA larger context window leaves more room for retrieved passages, conversation history, or source files.

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Provider catalogs

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Google catalog

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LiquidAI catalog

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Gemma 3 4B

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

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...