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Model comparison

Claude Opus 4.6 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.

68.52/100
Margin
27.3pts
← winning
41.25/100
0 category wins1 category wins

Verified leaderboard positions: Claude Opus 4.6 #8; LFM2.5-8B-A1B unranked

BenchAlign evidence: Claude Opus 4.6 supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.6 and LFM2.5-8B-A1B share 12 comparable benchmark results. 1 of 8 categories are comparable. 36 results are unique to Claude Opus 4.6; 6 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
12
Claude Opus 4.6 only
36
LFM2.5-8B-A1B only
6
Comparable categories
1 / 8

Pick Claude Opus 4.6 if you want the stronger benchmark profile. LFM2.5-8B-A1B only becomes the better choice if mathematics is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Claude Opus 4.6 is clearly ahead on the provisional aggregate, 84 to 37. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Claude Opus 4.6 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. That is roughly Infinityx on output cost alone. LFM2.5-8B-A1B is the reasoning model in the pair, while Claude Opus 4.6 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Opus 4.6 gives you the larger context window at 1M, compared with 128K 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 Claude Opus 4.6 and LFM2.5-8B-A1B
CategoryClaude Opus 4.6ΔLFM2.5-8B-A1B
MathClaude Opus 4.636.3Margin 13.7LFM2.5-8B-A1B50.0
AgenticClaude Opus 4.673.0MarginNo overlapLFM2.5-8B-A1BNot measured
CodingClaude Opus 4.668.1MarginNo overlapLFM2.5-8B-A1BNot measured
KnowledgeClaude Opus 4.669.2MarginNo overlapLFM2.5-8B-A1BNot measured
MultimodalClaude Opus 4.677.3MarginNo overlapLFM2.5-8B-A1BNot measured
Inst. FollowingClaude Opus 4.6Not measuredMarginNo overlapLFM2.5-8B-A1B68.8

Operational comparison

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

MetricClaude Opus 4.6LFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensClaude Opus 4.6$5 input / $25 outputLFM2.5-8B-A1B$0 input / $0 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondClaude Opus 4.640 tok/sLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.61.78 sLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.61MLFM2.5-8B-A1B128KClaude Opus 4.6 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.6LFM2.5-8B-A1BResult
Terminal-Bench 2.0Source 65.4%Not comparable
BrowseCompSource 83.7%Not comparable
OSWorld-VerifiedSource 72.7%Not comparable
τ²-bench resultsSource 84.8%16.1%Claude Opus 4.6 leads
Claw-EvalSource 70.4%Not comparable
DeepSearchQASource 73.7%Not comparable
CyberGymSource 66.6%Not comparable
Gert LabsSource 61.85%Not comparable
ResearchClawBenchSource 19.9%Not comparable
JobBenchSource 36.7%Not comparable
BFCL v4Source 49.7%Not comparable
Coding
BenchmarkClaude Opus 4.6LFM2.5-8B-A1BResult
SWE-bench VerifiedSource 80.8%Not comparable
SWE-bench Verified*Source 75.6%Not comparable
LiveCodeBench ProSource 70.7%Not comparable
SWE-bench ProSource 53.4%Not comparable
SWE-RebenchSource 65.3%Not comparable
React Native EvalsSource 84.1%Not comparable
Vibe Code BenchSource 57.57%Not comparable
Terminal-Bench HardSource 48.5%4.5%Claude Opus 4.6 leads
AA-SciCodeSource 45.7%7.8%Claude Opus 4.6 leads
FrontierCodeSource 26.9%Not comparable
Reasoning
BenchmarkClaude Opus 4.6LFM2.5-8B-A1BResult
AA-LCRSource 58.3%0.0%Claude Opus 4.6 leads
CritPtSource 2.8%0.0%Claude Opus 4.6 leads
Knowledge
BenchmarkClaude Opus 4.6LFM2.5-8B-A1BResult
GPQASource 91.3%Not comparable
GPQA-DSource 89.2%Not comparable
SuperGPQASource 95%Not comparable
MMLU-ProSource 82%Not comparable
MMLU-Pro (Arcee)Source 89.1%Not comparable
HLESource 53%Not comparable
HLE w/o toolsSource 40%Not comparable
HealthBench HardSource 14.8%Not comparable
MedXpertQA (Text)Source 52.1%Not comparable
Artificial Analysis Intelligence IndexSource 37.8%8.3%Claude Opus 4.6 leads
AA-GPQA DiamondSource 84.0%51.3%Claude Opus 4.6 leads
AA-HLESource 18.6%6.9%Claude Opus 4.6 leads
AA-Omniscience IndexSource 3.5%-33.3%Claude Opus 4.6 leads
AA-Omniscience AccuracySource 45.2%9.4%Claude Opus 4.6 leads
AA-Omniscience Hallucination RateSource 76.0%47.0%LFM2.5-8B-A1B leads
MathLFM2.5-8B-A1B wins
BenchmarkClaude Opus 4.6LFM2.5-8B-A1BResult
AIME25 (Arcee)Source 99.8%Not comparable
FrontierMath v2 (Tiers 1-3)Source 40.700%Not comparable
FrontierMath v2 (Tier 4)Source 22.900%Not comparable
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Multimodal
BenchmarkClaude Opus 4.6LFM2.5-8B-A1BResult
MMMU-ProSource 77.3%Not comparable
ERQASource 51.6%Not comparable
ScreenSpot ProSource 83.1%Not comparable
MedXpertQA (MM)Source 64.8%Not comparable
GDPval-AASource 1606Not comparable
AA-MMMU-ProSource 72.5%Not comparable
Design Arena WebsiteSource 1330Not comparable
Inst. Following
BenchmarkClaude Opus 4.6LFM2.5-8B-A1BResult
AA-IFBenchSource 44.6%55.6%LFM2.5-8B-A1B leads
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
Frequently Asked Questions (2)

Which is better, Claude Opus 4.6 or LFM2.5-8B-A1B?

Claude Opus 4.6 is ahead on BenchLM's provisional leaderboard, 84 to 37.

Which is better for math, Claude Opus 4.6 or LFM2.5-8B-A1B?

LFM2.5-8B-A1B has the edge for math in this comparison, averaging 50 versus 36.3. Claude Opus 4.6 stays close enough that the answer can still flip depending on your workload.

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Last updated: July 16, 2026

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