LFM2-24B-A2B is $1.97 cheaper per 1M input tokens (98.5% lower; 66.7x difference).
API cost decision in 10 seconds
LFM2-24B-A2B vs Nano Banana Pro (Gemini 3 Pro Image Preview)
Pick LFM2-24B-A2B when budget and context both matter.
Budget verdict
Pick LFM2-24B-A2B when budget and context both matter.
On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $7.91 (98.9% lower).
LFM2-24B-A2B is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $79.1. Use the calculator below to replace the sample workload with your own token volume.
Cost sensitivity
Workload Sensitivity
LFM2-24B-A2B stays cheaper across input-heavy, balanced, and output-heavy sample workloads.
| Workload shape | Token mix | Better pick | LFM2-24B-A2B | Nano Banana Pro (Gemini 3 Pro Image Preview) |
|---|---|---|---|---|
| Input-heavy / RAG | 5M input + 500K output | LFM2-24B-A2B | $0.21 | $16 |
| Balanced workload | 1M input + 1M output | LFM2-24B-A2B | $0.15 | $14 |
| Output-heavy chatbot | 1M input + 5M output | LFM2-24B-A2B | $0.63 | $62 |
LFM2-24B-A2B is $11.88 cheaper per 1M output tokens (99% lower; 100x difference).
LFM2-24B-A2B has 62.46K more context (1.95x larger).
LFM2-24B-A2B is $7.91 cheaper on the standard workload (98.9% lower).
Estimate your workload cost
Your Workload Cost
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
LFM2-24B-A2B has the lower input price; LFM2-24B-A2B has the lower output price; LFM2-24B-A2B 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 $0.09 for LFM2-24B-A2B and $8 for Nano Banana Pro (Gemini 3 Pro Image Preview).
Choose LFM2-24B-A2B when you care most about lower input-token price, lower output-token price, and larger context window.
Choose Nano Banana Pro (Gemini 3 Pro Image Preview) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.
- On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $7.91 (98.9% lower).
- LFM2-24B-A2B is $7.91 cheaper on the standard workload (98.9% lower).
- LFM2-24B-A2B is $1.97 cheaper per 1M input tokens (98.5% lower; 66.7x difference).
- LFM2-24B-A2B is $11.88 cheaper per 1M output tokens (99% lower; 100x difference).
- LFM2-24B-A2B has 62.46K more context (1.95x larger).
| Feature | LFM2-24B-A2B (LiquidAI) | Nano Banana Pro (Gemini 3 Pro Image Preview) (Google) |
|---|---|---|
| Input Price prompt tokens per 1M | $0.03 | $2 |
| Completion Price per 1M tokens | $0.12 | $12 |
| Sample Workload Cost 1M input + 500K output | $0.09 | $8 |
| Context Window | 128K | 65.54K |
| Release Date |
Use-Case Decision Matrix
| Use case | Better pick | Why |
|---|---|---|
| Budget-constrained production | LFM2-24B-A2B | On the standard 1M input plus 500K output workload, LFM2-24B-A2B is estimated at $0.09 vs $8 for Nano Banana Pro (Gemini 3 Pro Image Preview), saving $7.91 (98.9% lower). |
| High-volume input processing | LFM2-24B-A2B | Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill. |
| Long responses and chatbots | LFM2-24B-A2B | Lower output-token price matters most when assistants generate many completion tokens. |
| RAG or long-document work | LFM2-24B-A2B | A larger context window leaves more room for retrieved passages, conversation history, or source files. |
Related Alternatives
- LFM2.5-1.2B-Thinking (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
- LFM2.5-1.2B-Instruct (free) can replace LFM2-24B-A2B when lower sample workload cost matters most: $0.
- Gemma 4 26B A4B (free) can replace Nano Banana Pro (Gemini 3 Pro Image Preview) when lower sample workload cost matters most: $0.
- Gemma 4 31B (free) can replace Nano Banana Pro (Gemini 3 Pro Image Preview) when lower sample workload cost matters most: $0.
- Llama 4 Scout offers 10M context with $0.23 sample workload cost.
- Grok 4.20 Multi-Agent offers 2M context with $5 sample workload cost.
- Grok 4.20 offers 2M context with $2.5 sample workload cost.
- GPT-5.4 offers 1.05M context with $10 sample workload cost.
- No popular competitor is currently available.
Cheaper alternatives
Review low-cost models sorted by a standard 1M input plus 500K output workload.
Open cheapest modelsLarger context alternatives
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Open LiquidAI modelsGoogle catalog
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Open Google modelsLFM2-24B-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...
Nano Banana Pro is Google’s most advanced image-generation and editing model, built on Gemini 3 Pro. It extends the original Nano Banana with significantly improved multimodal reasoning, real-world grounding, and...