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Model comparison

Command A+ vs LFM2.5-VL-1.6B-Extract

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

47.51/100
No comparison
0 category wins0 category wins

Public leaderboard positions: Command A+ #135 (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. Command A+ and LFM2.5-VL-1.6B-Extract share 12 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to Command A+; 3 to LFM2.5-VL-1.6B-Extract.

Updated July 23, 2026
Shared results
12
Command A+ only
9
LFM2.5-VL-1.6B-Extract only
3
Comparable categories
0 / 8

Benchmark data for Command A+ and LFM2.5-VL-1.6B-Extract is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 Command A+ and LFM2.5-VL-1.6B-Extract
CategoryCommand A+ΔLFM2.5-VL-1.6B-Extract
MultimodalCommand A+59.3MarginNo overlapLFM2.5-VL-1.6B-ExtractNot measured

Operational comparison

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

MetricCommand A+LFM2.5-VL-1.6B-ExtractComparison
Input / output priceUSD per 1M tokensCommand A+$2.5 input / $10 outputLFM2.5-VL-1.6B-ExtractNot availableA complete price comparison is not available.
Generation speedtokens per secondCommand A+272 tok/sLFM2.5-VL-1.6B-ExtractNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenCommand A+0.25 sLFM2.5-VL-1.6B-ExtractNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensCommand A+128KLFM2.5-VL-1.6B-Extract128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkCommand A+LFM2.5-VL-1.6B-ExtractResult
τ²-bench resultsSource 80.7%8.5%Command A+ leads
AA Agentic IndexSource 9.2%Not comparable
GDPval-AASource 10.7%Not comparable
GDPval-AASource 714Not comparable
terminalBenchHardSource 25%Not comparable
Coding
BenchmarkCommand A+LFM2.5-VL-1.6B-ExtractResult
AA Coding IndexSource 27.9%Not comparable
AA-SciCodeSource 37.8%3.0%Command A+ leads
Reasoning
BenchmarkCommand A+LFM2.5-VL-1.6B-ExtractResult
AA-LCRSource 46.0%0.0%Command A+ leads
CritPtSource 0.3%0.0%Command A+ leads
Knowledge
BenchmarkCommand A+LFM2.5-VL-1.6B-ExtractResult
Artificial Analysis Intelligence IndexSource 22.5%1.0%Command A+ leads
AA-GPQA DiamondSource 76.1%28.9%Command A+ leads
AA-HLESource 11.4%5.1%Command A+ leads
AA-Omniscience IndexSource -4.0%-83.9%Command A+ leads
AA-Omniscience AccuracySource 8.9%5.2%Command A+ leads
AA-Omniscience Hallucination RateSource 14.1%94.0%Command A+ leads
AA Openness IndexSource 38.9%Not comparable
Multimodal
BenchmarkCommand A+LFM2.5-VL-1.6B-ExtractResult
MMMUSource 75.1%Not comparable
MMMU-ProSource 63%Not comparable
CharXivSource 52.7%Not comparable
AA-MMMU-ProSource 63.2%26.5%Command A+ leads
Liquid Extract JSON ValiditySource 99.6%Not comparable
Liquid Extract F1Source 99.6%Not comparable
Liquid Extract VLM JudgeSource 90.6%Not comparable
Inst. Following
BenchmarkCommand A+LFM2.5-VL-1.6B-ExtractResult
AA-IFBenchSource 73.9%33.1%Command A+ leads
Frequently Asked Questions (3)

Can I compare Command A+ 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 Command A+ and LFM2.5-VL-1.6B-Extract today?

Command A+: $2.50 input / $10.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 23, 2026

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