LFM2.5 8B A1B
LFM2.5 8B A1B is a released rag, agents, and long context model with open-weight and 128k context; evaluate it while provider pricing coverage matures.
Use it for
- Teams evaluating rag, agents, and long context
- Workloads that can use a 128k context window
Do not use it for
- Cost-sensitive launches that need sourced token pricing
- Vision or document-understanding workloads
- Teams that need a tracked hosted API route today
- Family
- LFM-2.5
- Released
- 2026-05-28
- Context
- 128k
- Max output
- 8,192
- Parameters
- 8.3B
- Architecture
- Mixture of Experts
- Specialization
- general
- Openness
- Open weights
- License
- LFM Open License v1.0Commercial use: conditional
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
No tracked provider token pricing is available yet.
About
LFM2.5-8B-A1B is Liquid AI's latest on-device mixture-of-experts model, succeeding LFM2-8B-A1B. It has 8.3B total parameters with approximately 1.5B active per token (the A1B label uses a rounded ~1B figure). The architecture combines 18 double-gated LIV convolutional layers with 6 GQA attention layers, trained on 38 trillion tokens. The context window expands to 128K tokens (up from 32K in the predecessor). It is a reasoning model that generates explicit chain-of-thought steps before producing its final answer, making reasoning tokens cheap due to the MoE design. Strong tool-calling, function-calling, and instruction-following capabilities make it well-suited for agentic workflows on edge hardware. Weights are openly available on Hugging Face under the lfm1.0 license.
LFM2.5 8B A1B is an open-weight model in the LFM-2.5 family. The structured metadata tracks a 128k-token context window, reasoning, function calling, tool use, and structured outputs. Headline tracked benchmarks include Instruction-Following Evaluation 91.8, MATH-500 88.8, and AIME 2025 42.5.
Top use-case fit: coding, agents, and build tasks
RAG
Included by capability and metadata signals in the decision map.
Agents
1 relevant benchmark in the decision map.
Long context
Included by capability and metadata signals in the decision map.
Provider price ladder
No tracked provider token pricing is available for this model yet.
Capabilities
Benchmark peer barsfor Agents
Benchmark scores(6)
| Benchmark | Score | Version | Source |
|---|---|---|---|
| Instruction-Following Evaluation | 91.8 | — | https://www.liquid.ai/blog/lfm2-5-8b-a1b |
| MATH-500 | 88.8 | MATH-500 (accuracy) | https://www.marktechpost.com/2026/05/28/liquid-ai-releases-lfm2-5-8b-a1b-an-on-device-moe-model-with-8-3b-total-and-1-5b-active-parameters/ |
| AIME 2025 | 42.5 | — | https://www.liquid.ai/blog/lfm2-5-8b-a1b |
| Google-Proof Q&A | 34.4 | GPQA Diamond (accuracy) | https://benchlm.ai/models/lfm2-5-8b-a1b |
| MMLU PRO | 50.5 | Third-party evaluation (accuracy) | https://benchlm.ai/models/lfm2-5-8b-a1b |
| τ-bench | 88.1 | τ² Telecom benchmark (accuracy) | https://www.marktechpost.com/2026/05/28/liquid-ai-releases-lfm2-5-8b-a1b-an-on-device-moe-model-with-8-3b-total-and-1-5b-active-parameters/ |
Migration checks
No linked migration route is available for this model yet.
Frequently asked questions
What is the context window of LFM2.5 8B A1B?
LFM2.5 8B A1B has a context window of 128k tokens.
What is the max output of LFM2.5 8B A1B?
LFM2.5 8B A1B can generate up to 8,192 output tokens.
When was LFM2.5 8B A1B released?
LFM2.5 8B A1B was released on 2026-05-28.
What benchmarks has LFM2.5 8B A1B been tested on?
LFM2.5 8B A1B has been evaluated on 6 benchmarks, including Instruction-Following Evaluation, MATH-500, AIME 2025, Google-Proof Q&A, MMLU PRO.
No tracked provider token pricing is available yet.