LFM2.5-VL-450M
BenchLM is tracking LFM2.5-VL-450M, but this profile is currently excluded from the public leaderboard because it still lacks enough non-generated benchmark coverage to rank safely. Only non-generated public benchmark rows appear below.
LFM2.5-VL-450M is a open weight model with a 128K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 7 of 151 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.
Its strongest category is Instruction Following (#112). This performance profile makes it a well-rounded choice across a range of tasks.
Ranking Distribution
Category rank across 1 benchmark categories — sorted by best rank
Category Performance
Scores across all benchmark categories (0-100 scale)
Category Breakdown
Agentic
Coding
Reasoning
Knowledge
Math
Multilingual
Multimodal
Inst. Following
#112Benchmark Details
Only benchmark rows with an attached exact-source record are shown here. Source-unverified manual rows and generated rows are hidden from model pages.
Compare This Model
See how LFM2.5-VL-450M stacks up against similar models
Frequently Asked Questions
How does LFM2.5-VL-450M perform overall in AI benchmarks?
LFM2.5-VL-450M has 7 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is LFM2.5-VL-450M good for knowledge and understanding?
LFM2.5-VL-450M has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-VL-450M good for agentic tool use and computer tasks?
LFM2.5-VL-450M has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-VL-450M good for multimodal and grounded tasks?
LFM2.5-VL-450M has visible benchmark coverage in multimodal and grounded tasks, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-VL-450M good for instruction following?
LFM2.5-VL-450M ranks #112 out of 106 models in instruction following benchmarks with an average score of 61.2. There are stronger options in this category.
Is LFM2.5-VL-450M open source?
Yes, LFM2.5-VL-450M is an open weight model created by LiquidAI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does LFM2.5-VL-450M have full benchmark coverage on BenchLM?
Not yet. LFM2.5-VL-450M currently has 7 published benchmark scores out of the 151 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.
What is the context window size of LFM2.5-VL-450M?
LFM2.5-VL-450M has a context window of 128K, which determines how much text it can process in a single interaction.
Related Resources
Weekly LLM Updates
New model releases, benchmark scores, and leaderboard changes. Every Friday.
Free. Your signup is stored with a derived country code for compliance routing.