Liquid AI model product
12B parameters; HF safetensors total 3,123,483,888) for on-device and edge image-text→text.
Updated Aug 17, 2026. Default version: LFM2.5-VL-3B
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for LFM2.5-VL-3B.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMME | Score73.1% | Rank01 | Participants4 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkMM IF-Eval | Score60.6% | Rank01 | Participants2 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkPOPE | Score88.7% | Rank01 | Participants3 | Percentile100.0% | EvidenceC | Evaluated |
| BenchmarkTextVQA | Score84.3% | Rank04 | Participants16 | Percentile80.0% | EvidenceC | Evaluated |
| BenchmarkRefCOCO-avg | Score0.879 points | Rank08 | Participants9 | Percentile12.5% | EvidenceC | Evaluated |
| BenchmarkMMMU (val) | Score48.4% | Rank12 | Participants13 | Percentile8.3% | EvidenceC | Evaluated |
| BenchmarkMuirBench | Score58.3% | Rank12 | Participants12 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkBLINK | Score61.5% | Rank13 | Participants15 | Percentile14.3% | EvidenceC | Evaluated |
| BenchmarkOCRBench-V2 (en) | Score47.5% | Rank13 | Participants14 | Percentile7.7% | EvidenceC | Evaluated |
| BenchmarkBFCL-V4 | Score32.5% | Rank14 | Participants15 | Percentile7.1% | EvidenceC | Evaluated |
| BenchmarkSimpleVQA | Score0.354 points | Rank14 | Participants14 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkMMBench-V1.1 | Score81.0% | Rank16 | Participants20 | Percentile21.1% | EvidenceC | Evaluated |
| BenchmarkOCRBench | Score84.2% | Rank17 | Participants24 | Percentile30.4% | EvidenceC | Evaluated |
| BenchmarkHallusion Bench | Score47.2% | Rank18 | Participants18 | Percentile0.0% | EvidenceC | Evaluated |
| BenchmarkDocVQA | Score91.1% | Rank19 | Participants28 | Percentile33.3% | EvidenceC | Evaluated |
| BenchmarkChartQA | Score81.3% | Rank20 | Participants26 | Percentile24.0% | EvidenceC | Evaluated |
| BenchmarkMathVista-Mini | Score68.5% | Rank20 | Participants24 | Percentile17.4% | EvidenceC | Evaluated |
| BenchmarkMMStar | Score63.3% | Rank20 | Participants24 | Percentile17.4% | EvidenceC | Evaluated |
| BenchmarkMulti-IF | Score59.4% | Rank21 | Participants23 | Percentile9.1% | EvidenceC | Evaluated |
| BenchmarkRealWorldQA | Score73.1% | Rank21 | Participants29 | Percentile28.6% | EvidenceC | Evaluated |
| BenchmarkIFBench | Score25.8% | Rank33 | Participants34 | Percentile3.0% | EvidenceC | Evaluated |
| BenchmarkIFEval | Score82.3% | Rank49 | Participants67 | Percentile27.3% | EvidenceC | Evaluated |
| BenchmarkMMMU-Pro | Score30.5% | Rank68 | Participants68 | Percentile0.0% | 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.
The default version has no current input or output token prices.
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-VL-3B. 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-VL-3B | Released | LLMBoard6.5 | Parameters3.1B | ContextN/A | Max outputN/A | Open weightsNo | LicenseLFM Open License v1.0 |
Open a comparison with the three ranked models immediately above and below this model.
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Key information about LFM2.5 VL 3B and its available data.
12B parameters; HF safetensors total 3,123,483,888) for on-device and edge image-text→text. Non-reasoning: answers directly for low latency. 6B language backbone with a SigLIP2 400M NaFlex vision encoder; improves screen/UI understanding, grounding, function calling, and multi-image input over LFM2-VL-3B.
Pre-trained on ~34T tokens; 128K vocabulary; 32,768-token context. cpp, MLX, vLLM, SGLang, and ONNX. 0). 1, MM-IF-Eval, MathVista-Mini, MMMU-Pro, MMMU (val), ChartQA, DocVQA, OCRBench, OCRBench-V2 (en), TextVQA, RefCOCO-avg, BLINK, MuirBench, HallusionBench, POPE, IFEval, IFBench, Multi-IF, and BFCL-v4.
7 avg), CountBenchQA, SEED-Bench (image), MMMB, Multilingual MMBench, LogicVista, InfographicVQA, or ToolSandbox — recorded here only. 5-VL-3B. 6b:free for the text sibling).
Data as of 2026-08-17.
Common questions about LFM2.5 VL 3B.
LFM2.5 VL 3B's default version was released on Aug 12, 2026.
No official standard PAYG price is currently available for LFM2.5 VL 3B.
LFM2.5 VL 3B 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.
No provider offering is currently linked to the default version.
Nearby ranked alternatives include GPT-4o-mini, Hermes 3 70B, Mistral Small 3 24B.