AllocateLFM2.5 8B A1B vs Qwen 3.5
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.
L LFM2.5 8B A1B
Qwen 3.5
Qwen 3.5LabLiquid AIQwen
AccessNot served on AllocateOpen weights
Context windown/a256K tokens
List price, inputNot served$0.6 / M tokens
List price, outputNot served$3.6 / M tokens
Cached inputn/a$0.35 / M tokens
LicenseNot listedApache 2.0
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 Qwen 3.5 for
- Multilingual support agents
- Translation-adjacent workflows
- Fine-tuning under Apache 2.0
Common questions
Which has the bigger context window?
Qwen 3.5: 262,144 tokens (256K) against an unlisted window for LFM2.5 8B A1B.
Can I fine-tune LFM2.5 8B A1B or Qwen 3.5?
Both publish open weights (LFM2.5 8B A1B: Not listed; Qwen 3.5: Apache 2.0), 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 Qwen3.7 MaxQwen 3.5 vs Qwen3.7 MaxLFM2.5 8B A1B vs Meta Llama 3.3 70B Instruct TurboQwen 3.5 vs Meta Llama 3.3 70B Instruct TurboLFM2.5 8B A1B vs Deepseek V3.1 NVFP4Qwen 3.5 vs Deepseek V3.1 NVFP4
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.