Liquid AI model product
6B dense hybrid text→text model (LFM2 architecture) post-trained for on-device agentic workloads: planning, native tool calling, and multi-step tasks.
Updated Aug 17, 2026. Default version: LFM2.5-2.6B
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for LFM2.5-2.6B.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkAA-Omniscience Index | Score-29.5 points | Rank02 | Participants2 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkMulti-IF | Score80.1% | Rank02 | Participants23 | Percentile95.5% | EvidenceC | Evaluated |
| BenchmarkPinchBench | Score68.2% | Rank06 | Participants6 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkTau3 Banking | Score5.7% | Rank07 | Participants7 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkClaw-Eval | Score62.8% | Rank08 | Participants14 | Percentile46.1% | EvidenceC | Evaluated |
| BenchmarkBFCL-V4 | Score56.9% | Rank11 | Participants15 | Percentile28.6% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score59.2% | Rank29 | Participants34 | Percentile15.2% | EvidenceC | Evaluated |
| BenchmarkLiveCodeBench v6 | Score59.4% | Rank40 | Participants56 | Percentile29.1% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score51.9% | Rank100 | Participants115 | Percentile13.2% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
The default version does not have a matching Arena result yet.
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNanoGPT | Provider model IDliquid/lfm-2.5-2.6b | Regionglobal | Input / 1M$0.10 | Output / 1M$0.20 | Context128K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for LFM2.5-2.6B. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionLFM2.5-2.6B | Released | LLMBoard32.6 | Parameters2.7B | ContextN/A | Max outputN/A | Open weightsNo | LicenseLFM Open License v1.0 |
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Key information about LFM2.5 2.6B and its available data.
6B dense hybrid text→text model (LFM2 architecture) post-trained for on-device agentic workloads: planning, native tool calling, and multi-step tasks. 69B parameters, trained on ~34T tokens, 128K context (131,072 tokens), 128K vocabulary. Always thinks before answering. cpp, MLX, and ONNX. 6B (+ Base). 0). 50 (signed).
49 — recorded here only. 6B. 6b:free exists externally but was not added.
Data as of 2026-08-17.
Common questions about LFM2.5 2.6B.
LFM2.5 2.6B's default version was released on Aug 4, 2026.
No official standard PAYG price is currently available for LFM2.5 2.6B. The lowest tracked third-party offer starts at $0.10 input and $0.20 output via NanoGPT.
LFM2.5 2.6B was created by Liquid AI.
A context window is not available for the default version.
No. The default version is not marked as having publicly available weights.
1 provider offerings are linked to the default version.
Nearby ranked alternatives include o1 pro, DiffusionGemma 26B A4B, Sarvam 30B.