Skip to main content

Model comparison

Command A+ vs LFM2.5-8B-A1B

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

47.37/100
Margin
6.1pts
← winning
41.25/100
0 category wins0 category wins

BenchAlign evidence: Command A+ estimated; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Command A+ and LFM2.5-8B-A1B share 12 comparable benchmark results. 0 of 8 categories are comparable. 8 results are unique to Command A+; 6 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
12
Command A+ only
8
LFM2.5-8B-A1B only
6
Comparable categories
0 / 8

Benchmark data for Command A+ and LFM2.5-8B-A1B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 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.

Command A+ is priced at $2.50 input / $10.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B.

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 LFM2.5-8B-A1B
CategoryCommand A+ΔLFM2.5-8B-A1B
MathCommand A+Not measuredMarginNo overlapLFM2.5-8B-A1B50.0
MultimodalCommand A+59.3MarginNo overlapLFM2.5-8B-A1BNot measured
Inst. FollowingCommand A+Not measuredMarginNo overlapLFM2.5-8B-A1B68.8

Operational comparison

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

MetricCommand A+LFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensCommand A+$2.5 input / $10 outputLFM2.5-8B-A1B$0 input / $0 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondCommand A+272 tok/sLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenCommand A+0.25 sLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensCommand A+128KLFM2.5-8B-A1B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkCommand A+LFM2.5-8B-A1BResult
τ²-bench resultsSource 80.7%16.1%Command A+ leads
AA Agentic IndexSource 9.2%Not comparable
GDPval-AASource 10.7%Not comparable
GDPval-AASource 714Not comparable
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkCommand A+LFM2.5-8B-A1BResult
Terminal-Bench HardSource 25.0%4.5%Command A+ leads
AA Coding IndexSource 27.9%Not comparable
AA-SciCodeSource 37.8%7.8%Command A+ leads
Reasoning
BenchmarkCommand A+LFM2.5-8B-A1BResult
AA-LCRSource 46.0%0.0%Command A+ leads
CritPtSource 0.3%0.0%Command A+ leads
Knowledge
BenchmarkCommand A+LFM2.5-8B-A1BResult
Artificial Analysis Intelligence IndexSource 22.5%8.3%Command A+ leads
AA-GPQA DiamondSource 76.1%51.3%Command A+ leads
AA-HLESource 11.4%6.9%Command A+ leads
AA-Omniscience IndexSource -4.0%-33.3%Command A+ leads
AA-Omniscience AccuracySource 8.9%9.4%LFM2.5-8B-A1B leads
AA-Omniscience Hallucination RateSource 14.1%47.0%Command A+ leads
Math
BenchmarkCommand A+LFM2.5-8B-A1BResult
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Multimodal
BenchmarkCommand A+LFM2.5-8B-A1BResult
MMMUSource 75.1%Not comparable
MMMU-ProSource 63%Not comparable
CharXivSource 52.7%Not comparable
AA-MMMU-ProSource 63.2%Not comparable
Inst. Following
BenchmarkCommand A+LFM2.5-8B-A1BResult
AA-IFBenchSource 73.9%55.6%Command A+ leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (3)

Can I compare Command A+ and LFM2.5-8B-A1B 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 LFM2.5-8B-A1B today?

Command A+: $2.50 input / $10.00 output per 1M tokens 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.

Related Comparisons

Last updated: July 16, 2026

The AI models change fast. We track them for you.

A weekly brief for engineers and researchers covering new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.