Inference
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LiquidAI

LFM2.5-VL-3B

LFM2.5-VL-3B is a standard model from LiquidAI. It has 9 scored results in 3 categories. It has no index.

  • Open weights
  • Standard
  • Input: text
  • Released 2026-08
UnrankedEnough results for an index.
IndexAll categories, out of 100.UnrankedMedian 51.0
CoverageIndex weight that has results.35%
SpeedOutput tokens per second.—Median 67/s
First tokenSeconds to the first output token.—Median 1.3 s
Input / 1MUS dollars per 1M input tokens.—Median $0.60
Output / 1MUS dollars per 1M output tokens.—Median $2.55
ContextMaximum tokens in one request.32KMedian 262K
EloLMArena rating and rank.—Median 1422

Capabilities

Index per category, out of 100.
Out of 100
AgenticMulti-step tasks with tools.1 counted15.3—
CodingCode writing and repair.None counted——
ReasoningLogic problems and puzzles.None counted——
MultimodalTasks with images and text.6 counted27.0—
KnowledgeFacts and expert knowledge.None counted——
MultilingualTasks in many languages.None counted——
InstructionTasks with strict prompt rules.2 counted21.0—
MathMath problems.None counted——

Results

9 counted
BenchmarkThe benchmark name.ResultThe score from the source.PlacePlace among results on this benchmark.
RefCOCO averageMultimodal87.9%6 / 10
Instruction-Following EvalInstruction82.3%50 / 70
RealWorldQAMultimodal73.1%15 / 18
Berkeley Function Calling Leaderboard v4Agentic32.5%23 / 26
CountBenchMultimodal87.3%9 / 10
Massive Multi-discipline Multimodal UnderstandingMultimodal48.4%26 / 28
Instruction Following BenchmarkInstruction25.8%56 / 57
SimpleVQAMultimodal35.4%18 / 18
Massive Multi-discipline Multimodal Understanding ProMultimodal30.5%53 / 53
OCRBench V2Multimodal47.5%—

Sources

BenchLMCC BY-NC 4.0

Questions

What is the context window of LFM2.5-VL-3B?
32K tokens.
Is LFM2.5-VL-3B open source?
Yes. Its weights are published.
When was LFM2.5-VL-3B released?
August 2026.

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