Model profile
LFM2.5-8B-A1B
Evidence coverage
18 of 313 tracked benchmarks are published. 9 are verified and 9 provisional. 6 of 8 categories are measured.
- Published / tracked
- 18 / 313
- Verified
- 9
- Provisional
- 9
- Categories measured
- 6 / 8
Evidence by category
- Agentic2 benchmarksVerified
- Coding2 benchmarksReported
- Reasoning2 benchmarksReported
- Knowledge6 benchmarksMixed evidence
- Math3 benchmarksVerified
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following3 benchmarksMixed evidence
BenchLM is tracking LFM2.5-8B-A1B, 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.
LFM2.5-8B-A1B is a open weight model with a 128K token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.
This profile currently has 18 of 313 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 (#110). This performance profile makes it a well-rounded choice across a range of tasks.
Peer position
Exact provisional scores and ranks for the closest listed peers.
Range 36.0–38.0
- DeepSeek V3DeepSeekCompare#7038.0DeepSeek V3 is #70 with a score of 38.0.
- Gemini 2.5 FlashGoogleCompare#7137.0Gemini 2.5 Flash is #71 with a score of 37.0.
- 1-bit Bonsai 4BPrism MLCompareUnranked38.01-bit Bonsai 4B is Unranked with a score of 38.0.
- LFM2.5-8B-A1BCurrent modelLiquidAIUnranked37.0LFM2.5-8B-A1B is Unranked with a score of 37.0.
- Ling 2.6 FlashInclusionAICompareUnranked36.0Ling 2.6 Flash is Unranked with a score of 36.0.
- MiniCPM5-1BOpenBMBCompareUnranked36.0MiniCPM5-1B is Unranked with a score of 36.0.
- Qwen2.5-VL-32BAlibabaCompareUnranked36.0Qwen2.5-VL-32B is Unranked with a score of 36.0.
Category percentile
More
Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.
- Inst. Following19%Eligible cohort rank #110 of 135Category score 40.4
Category evidence
Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.
| Category | Score | Rank | Percentile | Weight | Benchmarks | Evidence |
|---|---|---|---|---|---|---|
| AgenticRank Not rankedWeight 22%2 benchmarksVerified | 0.0 | Not ranked | Not available | 22% | 2 benchmarks | Verified |
| CodingRank Not rankedWeight 20%2 benchmarksReported | 0.0 | Not ranked | Not available | 20% | 2 benchmarks | Reported |
| ReasoningRank Not rankedWeight 17%2 benchmarksReported | 0.0 | Not ranked | Not available | 17% | 2 benchmarks | Reported |
| KnowledgeRank Not rankedWeight 12%6 benchmarksMixed sources | 0.0 | Not ranked | Not available | 12% | 6 benchmarks | Mixed sources |
| MathRank Not rankedWeight 5%3 benchmarksVerified | 28.8 | Not ranked | Not available | 5% | 3 benchmarks | Verified |
| MultilingualWeight 7%0 benchmarksNot measured | Not measured | Not ranked | Not available | 7% | 0 benchmarks | Not measured |
| MultimodalWeight 12%0 benchmarksNot measured | Not measured | Not ranked | Not available | 12% | 0 benchmarks | Not measured |
| Inst. FollowingRank #110 of 135Percentile 19thWeight 5%3 benchmarksMixed sources | 40.4 | #110 of 135 | 19th | 5% | 3 benchmarks | Mixed sources |
Benchmark Details
Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.
Agentic2 benchmarks
Berkeley Function Calling Leaderboard v4
τ²-Bench Tool-Agent-User Evaluation
Coding2 benchmarks
Artificial Analysis SciCode
Reasoning2 benchmarks
Artificial Analysis Long Context Reasoning
Critical Physics Tasks
Knowledge6 benchmarks
Artificial Analysis GPQA Diamond
Artificial Analysis Humanity's Last Exam
Artificial Analysis Omniscience Index
Artificial Analysis Omniscience Accuracy
Artificial Analysis Omniscience Hallucination Rate
Math3 benchmarks
AIME 2026
MATH-500 Problem Set
American Invitational Mathematics Examination 2025
Inst. Following3 benchmarks
Instruction Following Benchmark
Instruction-Following Eval
Artificial Analysis IFBench
Frequently Asked Questions
How does LFM2.5-8B-A1B perform overall in AI benchmarks?
LFM2.5-8B-A1B has 18 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is LFM2.5-8B-A1B good for knowledge and understanding?
LFM2.5-8B-A1B has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-8B-A1B good for coding and programming?
LFM2.5-8B-A1B has visible benchmark coverage in coding and programming, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-8B-A1B good for mathematics?
LFM2.5-8B-A1B has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-8B-A1B good for reasoning and logic?
LFM2.5-8B-A1B has visible benchmark coverage in reasoning and logic, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-8B-A1B good for agentic tool use and computer tasks?
LFM2.5-8B-A1B has visible benchmark coverage in agentic tool use and computer tasks, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-8B-A1B good for instruction following?
LFM2.5-8B-A1B ranks #110 out of 78 models in instruction following benchmarks with an average score of 40.4. There are stronger options in this category.
Is LFM2.5-8B-A1B open source?
Yes, LFM2.5-8B-A1B is an open weight model created by LiquidAI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does LFM2.5-8B-A1B have full benchmark coverage on BenchLM?
Not yet. LFM2.5-8B-A1B currently has 18 published benchmark scores out of the 313 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 LFM2.5-8B-A1B?
LFM2.5-8B-A1B has a context window of 128K, which determines how much text it can process in a single interaction.
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