MODEL PROFILE

LFM2.5-2.6B

liquid · lfm-2.5-2.6b

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...

Text generationreasoningstructured_outputstools
Context window128,000 Token
Input → OutputText → Text
Model weightsOpen weights
Profile updated2026/11/7 13:35:25
OVERVIEW

Model overview

LFM2.5-2.6B is a compact reasoning model from Liquid AI. It is suited for agent workflows, data extraction, RAG, and long-context processing. Liquid advises against using it for agentic coding or...

The summary below is compiled from sources by an AI model, not our own testing. Verify selection decisions against original sources and your workload.

Key features

  • Compact reasoning model optimized for agent workflows, data extraction, RAG, and long-context processing (up to 128K context)
  • Supports structured outputs and tool integration
  • Designed for text-to-text tasks with text-only input/output

Limitations & considerations

  • Not recommended for agentic coding tasks
  • Limited to text inputs and outputs—no multimodal support indicated
PRICING & COST

Source prices & cost analysis

Prices vary by channel, region and configuration. Channel quotes are listed independently and are not treated as a single official provider price.

Source / channelInputOutputBilling unitCollected at
OpenRouter · liquid/lfm-2.5-2.6b ↗USD 0.35USD 0.5Per million tokens2026/11/2 06:25:22

Some channels offer cache discounts. Check the source for cache read, write and additional fees.

Estimate monthly base token costs

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Estimates exclude cache discounts, tiered pricing, multimodal surcharges, web search, taxes and additional reasoning output.

INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

What is the maximum context length of LFM2.5-2.6B?

The model supports up to 128,000 tokens of context.

Can LFM2.5-2.6B be used for coding tasks?

No—Liquid AI explicitly advises against using it for agentic coding.

What types of applications is LFM2.5-2.6B designed for?

It is designed for agent workflows, data extraction, RAG, and long-context processing.

Do open weights permit free commercial use?

Not necessarily. Check the version license, commercial conditions and usage policies. Self-hosting incurs compute and maintenance costs.

Are these real-time billing prices?

These are timestamped source snapshots, not live billing prices. Check the channel for current versions, regions, discounts and billing methods.

Sources & traceability

许可证:来源未披露,须进一步核验。模型介绍与第三方评测均以原来源的具体版本和方法为准。