Gemma 3N E4B Instruct vs LFM2.5-8B-A1B
On provider list prices, LFM2.5-8B-A1B costs $0.03 per million input tokens against $0.06 for Gemma 3N E4B Instruct: 2.0x apart. Output is $0.12 against $0.12.
Specifications and provider list prices from the Allocate catalog, checked 2026-07-21.
What the numbers say
Take 1,000,000 requests a month at 1,200 input and 350 output tokens each. That workload costs $78 a month on LFM2.5-8B-A1B and $114 on Gemma 3N E4B Instruct at list: a gap of $36, or 1.5x.
LFM2.5-8B-A1B reads 128K tokens per request against 32K for Gemma 3N E4B Instruct, 3.9x the window. That decides which one can take whole documents without splitting them.
Choose LFM2.5-8B-A1B for
- The lower list price ($0.03 in / $0.12 out per M tokens)
- The longer context window (128K vs 32K tokens)
Common questions
Which is cheaper, Gemma 3N E4B Instruct or LFM2.5-8B-A1B?
LFM2.5-8B-A1B, on this workload shape. At list prices it is $0.03/$0.12 per million tokens in and out against $0.06/$0.12 for Gemma 3N E4B Instruct. Billed on Allocate: $0.032/$0.13 against $0.064/$0.13.
Which has the bigger context window?
LFM2.5-8B-A1B: 128,000 tokens (128K) against 32,768 (32K) for Gemma 3N E4B Instruct.
Can I fine-tune Gemma 3N E4B Instruct or LFM2.5-8B-A1B?
Both publish open weights (Gemma 3N E4B Instruct: Gemma terms; LFM2.5-8B-A1B: Custom license), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Run the numbers on your workload
Or don’t choose. On Allocate a route name is the contract: point yours at one model today, swap to the other tomorrow, and compare them on your live traffic with per-token metering.