AllocateDeepseek V3.1 NVFP4 vs LFM2.5 8B A1B
LFM2.5 8B A1B is not currently in the Allocate serving catalog, so this page lists no prices for it: every price on this site comes from the live catalog.
Deepseek V3.1 NVFP4L LFM2.5 8B A1BLabDeepSeekLiquid AI
AccessOpen weightsNot served on Allocate
Context window128K tokensn/a
List price, input$0.6 / M tokensNot served
List price, output$1.7 / M tokensNot served
Cached inputn/an/a
LicenseMITNot listed
Fine-tunableYesYes
Specifications and provider list prices from the Allocate catalog, checked 2026-09-12.
Choose Deepseek V3.1 NVFP4 for
- Fine-tuning under a permissive license (MIT)
Choose LFM2.5 8B A1B for
- High-volume extraction
- Latency-sensitive routes
- Edge deployments
Common questions
Which has the bigger context window?
Deepseek V3.1 NVFP4: 131,072 tokens (128K) against an unlisted window for LFM2.5 8B A1B.
Can I fine-tune Deepseek V3.1 NVFP4 or LFM2.5 8B A1B?
Both publish open weights (Deepseek V3.1 NVFP4: MIT; LFM2.5 8B A1B: Not listed), so both can be fine-tuned. On Allocate the trained weights stay inside your boundary and belong to you.
Related comparisons
Deepseek V3.1 NVFP4 vs DeepSeek V4 ProLFM2.5 8B A1B vs DeepSeek V4 ProDeepseek V3.1 NVFP4 vs MiniMax M3LFM2.5 8B A1B vs MiniMax M3Deepseek V3.1 NVFP4 vs Llama 4 Scout Instruct (17Bx16E)LFM2.5 8B A1B vs Llama 4 Scout Instruct (17Bx16E)
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.