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Model comparison

LFM2.5-1.2B-Instruct vs LFM2.5-VL-1.6B-Extract

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
N/A
No comparison
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0 category wins0 category wins

Public leaderboard positions: LFM2.5-1.2B-Instruct #200 (Supported); 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. LFM2.5-1.2B-Instruct and LFM2.5-VL-1.6B-Extract share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to LFM2.5-1.2B-Instruct; 15 to LFM2.5-VL-1.6B-Extract.

Updated July 23, 2026
Shared results
0
LFM2.5-1.2B-Instruct only
0
LFM2.5-VL-1.6B-Extract only
15
Comparable categories
0 / 8

Benchmark data for LFM2.5-1.2B-Instruct and LFM2.5-VL-1.6B-Extract is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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 does not have sourced benchmark coverage for LFM2.5-1.2B-Instruct yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

LFM2.5-VL-1.6B-Extract has the larger context window at 128K, compared with 32K for LFM2.5-1.2B-Instruct.

Operational comparison

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

MetricLFM2.5-1.2B-InstructLFM2.5-VL-1.6B-ExtractComparison
Input / output priceUSD per 1M tokensLFM2.5-1.2B-Instruct$0 input / $0 outputLFM2.5-VL-1.6B-ExtractNot availableA complete price comparison is not available.
Generation speedtokens per secondLFM2.5-1.2B-InstructNot availableLFM2.5-VL-1.6B-ExtractNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-1.2B-InstructNot availableLFM2.5-VL-1.6B-ExtractNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-1.2B-Instruct32KLFM2.5-VL-1.6B-Extract128KLFM2.5-VL-1.6B-Extract lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-1.2B-InstructLFM2.5-VL-1.6B-ExtractResult
τ²-bench resultsSource —8.5%Not comparable
Coding
BenchmarkLFM2.5-1.2B-InstructLFM2.5-VL-1.6B-ExtractResult
AA-SciCodeSource —3.0%Not comparable
Reasoning
BenchmarkLFM2.5-1.2B-InstructLFM2.5-VL-1.6B-ExtractResult
AA-LCRSource —0.0%Not comparable
CritPtSource —0.0%Not comparable
Knowledge
BenchmarkLFM2.5-1.2B-InstructLFM2.5-VL-1.6B-ExtractResult
Artificial Analysis Intelligence IndexSource —1.0%Not comparable
AA-GPQA DiamondSource —28.9%Not comparable
AA-HLESource —5.1%Not comparable
AA-Omniscience IndexSource —-83.9%Not comparable
AA-Omniscience AccuracySource —5.2%Not comparable
AA-Omniscience Hallucination RateSource —94.0%Not comparable
Multimodal
BenchmarkLFM2.5-1.2B-InstructLFM2.5-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
BenchmarkLFM2.5-1.2B-InstructLFM2.5-VL-1.6B-ExtractResult
AA-IFBenchSource —33.1%Not comparable
Frequently Asked Questions (3)

Can I compare LFM2.5-1.2B-Instruct 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 LFM2.5-1.2B-Instruct and LFM2.5-VL-1.6B-Extract today?

LFM2.5-1.2B-Instruct: $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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Last updated: July 23, 2026

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