AllocateLFM2.5 8B A1B vs Llama 4 70B
LFM2.5 8B A1B and Llama 4 70B are not currently in the Allocate serving catalog, so this page lists no prices for them: every price on this site comes from the live catalog.
L LFM2.5 8B A1B
Llama 4 70B
Llama 4 70BLabLiquid AIMeta
AccessNot served on AllocateNot served on Allocate
Context windown/an/a
List price, inputNot servedNot served
List price, outputNot servedNot served
Cached inputn/an/a
LicenseNot listedNot listed
Fine-tunableYesYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose LFM2.5 8B A1B for
- High-volume extraction
- Latency-sensitive routes
- Edge deployments
Choose Llama 4 70B for
- First private fine-tunes
- Classification and extraction
- On-boundary deployments
Common questions
Can I fine-tune LFM2.5 8B A1B or Llama 4 70B?
Both publish open weights (LFM2.5 8B A1B: Not listed; Llama 4 70B: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
LFM2.5 8B A1B vs Llama 4 Scout Instruct (17Bx16E)Llama 4 70B vs Llama 4 Scout Instruct (17Bx16E)LFM2.5 8B A1B vs Meta Llama 3.3 70B Instruct TurboLlama 4 70B vs Meta Llama 3.3 70B Instruct TurboLFM2.5 8B A1B vs Meta Llama 3.1 405B InstructLlama 4 70B vs Meta Llama 3.1 405B Instruct
Run the numbers on your workload
Or do not 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.