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Model comparison

LFM2.5-8B-A1B vs Llama 3.1 405B

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.

41.25/100
Margin
10.2pts
winning →
51.44/100
0 category wins0 category wins

BenchAlign evidence: LFM2.5-8B-A1B estimated; Llama 3.1 405B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-8B-A1B and Llama 3.1 405B share 12 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to LFM2.5-8B-A1B; 0 to Llama 3.1 405B.

Updated July 16, 2026
Shared results
12
LFM2.5-8B-A1B only
6
Llama 3.1 405B only
0
Comparable categories
0 / 8

Benchmark data for LFM2.5-8B-A1B and Llama 3.1 405B 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.

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 Llama 3.1 405B
CategoryLFM2.5-8B-A1BΔLlama 3.1 405B
MathLFM2.5-8B-A1B50.0MarginNo overlapLlama 3.1 405BNot measured
Inst. FollowingLFM2.5-8B-A1B68.8MarginNo overlapLlama 3.1 405BNot measured

Operational comparison

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

MetricLFM2.5-8B-A1BLlama 3.1 405BComparison
Input / output priceUSD per 1M tokensLFM2.5-8B-A1B$0 input / $0 outputLlama 3.1 405B$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondLFM2.5-8B-A1BNot availableLlama 3.1 405B29 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-8B-A1BNot availableLlama 3.1 405B2.19 sA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-8B-A1B128KLlama 3.1 405B128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-8B-A1BLlama 3.1 405BResult
BFCL v4Source 49.7%Not comparable
τ²-bench resultsSource 16.1%19%Llama 3.1 405B leads
Coding
BenchmarkLFM2.5-8B-A1BLlama 3.1 405BResult
Terminal-Bench HardSource 4.5%6.8%Llama 3.1 405B leads
AA-SciCodeSource 7.8%29.9%Llama 3.1 405B leads
Reasoning
BenchmarkLFM2.5-8B-A1BLlama 3.1 405BResult
AA-LCRSource 0.0%24.3%Llama 3.1 405B leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkLFM2.5-8B-A1BLlama 3.1 405BResult
AA-GPQA DiamondSource 51.3%51.5%Llama 3.1 405B leads
AA-HLESource 6.9%4.2%LFM2.5-8B-A1B leads
AA-Omniscience IndexSource -33.3%-17.3%Llama 3.1 405B leads
AA-Omniscience AccuracySource 9.4%22.3%Llama 3.1 405B leads
AA-Omniscience Hallucination RateSource 47.0%51.0%LFM2.5-8B-A1B leads
Artificial Analysis Intelligence IndexSource 8.3%8.5%Llama 3.1 405B leads
Math
BenchmarkLFM2.5-8B-A1BLlama 3.1 405BResult
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Inst. Following
BenchmarkLFM2.5-8B-A1BLlama 3.1 405BResult
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
AA-IFBenchSource 55.6%39.0%LFM2.5-8B-A1B leads
Frequently Asked Questions (3)

Can I compare LFM2.5-8B-A1B and Llama 3.1 405B 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 Llama 3.1 405B today?

LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens Llama 3.1 405B: $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 16, 2026

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