Model profile
LFM2.5-230M
Evidence coverage
6 of 323 tracked benchmarks are published. 6 are verified and 0 provisional. 3 of 8 categories are measured.
- Published / tracked
- 6 / 323
- Verified
- 6
- Provisional
- 0
- Categories with evidence
- 3 / 8
Evidence by category
- Agentic1 benchmarkVerified
- Coding0 benchmarksNot measured
- Reasoning0 benchmarksNot measured
- Knowledge3 benchmarksVerified
- Math0 benchmarksNot measured
- Multilingual0 benchmarksNot measured
- Multimodal0 benchmarksNot measured
- Inst. Following2 benchmarksVerified
BenchLM is tracking LFM2.5-230M, 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.
LFM2.5-230M is a open weight model with a 32K token context window. It processes queries without explicit chain-of-thought reasoning, offering faster response times and lower token usage.
This profile currently has 6 of 323 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 (#31), while its weakest is Agentic (#77). 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. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.
Range 77.44–83.93
- Claude Mythos 5AnthropicCompare#183.93Claude Mythos 5 is #1 with a score of 83.93.
- Claude Fable 5AnthropicCompare#283.68Claude Fable 5 is #2 with a score of 83.68.
- GPT-5.6 SolOpenAICompare#381.96GPT-5.6 Sol is #3 with a score of 81.96.
- Kimi K3Moonshot AICompare#480.96Kimi K3 is #4 with a score of 80.96.
- Claude Opus 4.8AnthropicCompare#578.34Claude Opus 4.8 is #5 with a score of 78.34.
- Muse Spark 1.1MetaCompare#677.44Muse Spark 1.1 is #6 with a score of 77.44.
- LFM2.5-230MCurrent modelLiquidAIUnrankedNot measuredLFM2.5-230M is Unranked with a score of Not measured.
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. Following0%Eligible cohort rank #31 of 31Category score 1.0
- Agentic36%Eligible cohort rank #77 of 119Category score 44.5
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 #77 of 119Percentile 36thWeight 22%1 benchmarkVerified | 44.5 | #77 of 119 | 36th | 22% | 1 benchmark | Verified |
| CodingWeight 20%0 benchmarksNot measured | Not measured | Not ranked | Not available | 20% | 0 benchmarks | Not measured |
| ReasoningWeight 17%0 benchmarksNot measured | Not measured | Not ranked | Not available | 17% | 0 benchmarks | Not measured |
| KnowledgeRank Not rankedWeight 12%3 benchmarksVerified | 15.7 | Not ranked | Not available | 12% | 3 benchmarks | Verified |
| MathWeight 5%0 benchmarksNot measured | Not measured | Not ranked | Not available | 5% | 0 benchmarks | Not measured |
| 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 #31 of 31Percentile 0thWeight 5%2 benchmarksVerified | 1.0 | #31 of 31 | 0th | 5% | 2 benchmarks | Verified |
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.
Agentic1 benchmark
Berkeley Function Calling Leaderboard v4
Knowledge3 benchmarks
Massive Multitask Language Understanding Professional
Graduate-Level Google-Proof Q&A
GPQA Diamond
Inst. Following2 benchmarks
Instruction Following Benchmark
Instruction-Following Eval
Frequently Asked Questions
How does LFM2.5-230M perform overall in AI benchmarks?
LFM2.5-230M has 6 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.
Is LFM2.5-230M good for knowledge and understanding?
LFM2.5-230M has visible benchmark coverage in knowledge and understanding, but BenchLM does not currently assign it a global category rank there.
Is LFM2.5-230M good for agentic tool use and computer tasks?
LFM2.5-230M ranks #77 out of 119 models in agentic tool use and computer tasks benchmarks with an average score of 44.5. There are stronger options in this category.
Is LFM2.5-230M good for instruction following?
LFM2.5-230M ranks #31 out of 31 models in instruction following benchmarks with an average score of 1. There are stronger options in this category.
Is LFM2.5-230M open source?
Yes, LFM2.5-230M is an open weight model created by LiquidAI, meaning it can be downloaded and run locally or fine-tuned for specific use cases.
Does LFM2.5-230M have full benchmark coverage on BenchLM?
Not yet. LFM2.5-230M currently has 6 published benchmark scores out of the 323 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 LFM2.5-230M?
LFM2.5-230M has a published context window of 32K, which determines how much text it can process in a single interaction.
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