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Model comparison

LFM2.5-8B-A1B vs LFM2.5-VL-1.6B-Extract

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

41.42/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: LFM2.5-8B-A1B #166 (Estimated); LFM2.5-VL-1.6B-Extract unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-8B-A1B and LFM2.5-VL-1.6B-Extract share 11 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to LFM2.5-8B-A1B; 4 to LFM2.5-VL-1.6B-Extract.

Updated July 23, 2026
Shared results
11
LFM2.5-8B-A1B only
6
LFM2.5-VL-1.6B-Extract only
4
Comparable categories
0 / 8

Benchmark data for LFM2.5-8B-A1B and LFM2.5-VL-1.6B-Extract is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for LFM2.5-8B-A1B and LFM2.5-VL-1.6B-Extract
CategoryLFM2.5-8B-A1BΔLFM2.5-VL-1.6B-Extract
MathLFM2.5-8B-A1B50.0MarginNo overlapLFM2.5-VL-1.6B-ExtractNot measured
Inst. FollowingLFM2.5-8B-A1B68.8MarginNo overlapLFM2.5-VL-1.6B-ExtractNot measured

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricLFM2.5-8B-A1BLFM2.5-VL-1.6B-ExtractComparison
Input / output priceUSD per 1M tokensLFM2.5-8B-A1B$0 input / $0 outputLFM2.5-VL-1.6B-ExtractNot availableA complete price comparison is not available.
Generation speedtokens per secondLFM2.5-8B-A1BNot availableLFM2.5-VL-1.6B-ExtractNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-8B-A1BNot availableLFM2.5-VL-1.6B-ExtractNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-8B-A1B128KLFM2.5-VL-1.6B-Extract128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-8B-A1BLFM2.5-VL-1.6B-ExtractResult
BFCL v4Source 49.7%—Not comparable
τ²-bench resultsSource 16.1%8.5%LFM2.5-8B-A1B leads
Coding
BenchmarkLFM2.5-8B-A1BLFM2.5-VL-1.6B-ExtractResult
AA-SciCodeSource 7.8%3.0%LFM2.5-8B-A1B leads
Reasoning
BenchmarkLFM2.5-8B-A1BLFM2.5-VL-1.6B-ExtractResult
AA-LCRSource 0.0%0.0%Tie
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkLFM2.5-8B-A1BLFM2.5-VL-1.6B-ExtractResult
AA-GPQA DiamondSource 51.3%28.9%LFM2.5-8B-A1B leads
AA-HLESource 6.9%5.1%LFM2.5-8B-A1B leads
AA-Omniscience IndexSource -33.3%-83.9%LFM2.5-8B-A1B leads
AA-Omniscience AccuracySource 9.4%5.2%LFM2.5-8B-A1B leads
AA-Omniscience Hallucination RateSource 47.0%94.0%LFM2.5-8B-A1B leads
Artificial Analysis Intelligence IndexSource 8.3%1.0%LFM2.5-8B-A1B leads
Math
BenchmarkLFM2.5-8B-A1BLFM2.5-VL-1.6B-ExtractResult
MATH-500Source 88.8%—Not comparable
AIME 2025Source 42.5%—Not comparable
AIME26Source 50.0%—Not comparable
Multimodal
BenchmarkLFM2.5-8B-A1BLFM2.5-VL-1.6B-ExtractResult
Liquid Extract JSON ValiditySource —99.6%Not comparable
Liquid Extract F1Source —99.6%Not comparable
Liquid Extract VLM JudgeSource —90.6%Not comparable
AA-MMMU-ProSource —26.5%Not comparable
Inst. Following
BenchmarkLFM2.5-8B-A1BLFM2.5-VL-1.6B-ExtractResult
IFEvalSource 91.8%—Not comparable
IFBenchSource 56.5%—Not comparable
AA-IFBenchSource 55.6%33.1%LFM2.5-8B-A1B leads
Frequently Asked Questions (3)

Can I compare LFM2.5-8B-A1B and LFM2.5-VL-1.6B-Extract on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for LFM2.5-8B-A1B and LFM2.5-VL-1.6B-Extract today?

LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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