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Model comparison

Claude Opus 4.8 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.

77.8/100
Margin
36.5pts
← winning
41.25/100
1 category wins0 category wins

Verified leaderboard positions: Claude Opus 4.8 #1; LFM2.5-8B-A1B unranked

BenchAlign evidence: Claude Opus 4.8 supported; LFM2.5-8B-A1B estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Opus 4.8 and LFM2.5-8B-A1B share 12 comparable benchmark results. 1 of 8 categories are comparable. 41 results are unique to Claude Opus 4.8; 6 to LFM2.5-8B-A1B.

Updated July 16, 2026
Shared results
12
Claude Opus 4.8 only
41
LFM2.5-8B-A1B only
6
Comparable categories
1 / 8

Pick Claude Opus 4.8 if you want the stronger benchmark profile. LFM2.5-8B-A1B only becomes the better choice if 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 4.8 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 4.8's sharpest advantage is in mathematics, where it averages 53.9 against 50.

Claude Opus 4.8 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. Claude Opus 4.8 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 4.8 and LFM2.5-8B-A1B
CategoryClaude Opus 4.8ΔLFM2.5-8B-A1B
MathClaude Opus 4.853.9Margin← 3.9LFM2.5-8B-A1B50.0
AgenticClaude Opus 4.880.3MarginNo overlapLFM2.5-8B-A1BNot measured
CodingClaude Opus 4.881.1MarginNo overlapLFM2.5-8B-A1BNot measured
KnowledgeClaude Opus 4.862.7MarginNo overlapLFM2.5-8B-A1BNot measured
MultimodalClaude Opus 4.877.0MarginNo overlapLFM2.5-8B-A1BNot measured
Inst. FollowingClaude Opus 4.8Not 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 4.8LFM2.5-8B-A1BComparison
Input / output priceUSD per 1M tokensClaude Opus 4.8$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 4.8Not availableLFM2.5-8B-A1BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Opus 4.8Not availableLFM2.5-8B-A1BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Opus 4.81MLFM2.5-8B-A1B128KClaude Opus 4.8 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Opus 4.8LFM2.5-8B-A1BResult
Terminal-Bench 2.0Source 74.6%—Not comparable
BrowseCompSource 84.3%—Not comparable
DeepSearchQASource 93.1%—Not comparable
OSWorld-VerifiedSource 83.4%—Not comparable
Finance Agent v2Source 53.9%—Not comparable
GDPval-AASource 1600—Not comparable
MCP AtlasSource 82.2%—Not comparable
ToolathlonSource 59.9%—Not comparable
Gert LabsSource 72.97%—Not comparable
AA Agentic IndexSource 47.2%—Not comparable
τ²-bench resultsSource 94.4%16.1%Claude Opus 4.8 leads
GDPval-AASource 55.0%—Not comparable
ResearchClawBenchSource 21.1%—Not comparable
OSWorld 2.0Source 20.6%—Not comparable
AA BriefcaseSource 1354—Not comparable
AA AutomationBenchSource 48.5%—Not comparable
AA EnterpriseOps-GymSource 44.0%—Not comparable
AA Harvey LABSource 7.5%—Not comparable
AA Tau3 BankingSource 27.6%—Not comparable
BFCL v4Source —49.7%Not comparable
Coding
BenchmarkClaude Opus 4.8LFM2.5-8B-A1BResult
SWE-bench VerifiedSource 88.6%—Not comparable
SWE-bench ProSource 69.2%—Not comparable
SWE MultilingualSource 84.4%—Not comparable
SWE MultimodalSource 38.4%—Not comparable
Terminal-Bench 2.0Source 74.6%—Not comparable
cursorBench31Source 58.4%—Not comparable
cursorBench32Source 62.3%—Not comparable
AA Coding IndexSource 74.3%—Not comparable
Terminal-Bench HardSource 58.3%4.5%Claude Opus 4.8 leads
AA-SciCodeSource 53.5%7.8%Claude Opus 4.8 leads
FrontierCodeSource 46.5%—Not comparable
AA Terminal-Bench 2.1Source 84.6%—Not comparable
Reasoning
BenchmarkClaude Opus 4.8LFM2.5-8B-A1BResult
AA-LCRSource 67.7%0.0%Claude Opus 4.8 leads
CritPtSource 20.9%0.0%Claude Opus 4.8 leads
Knowledge
BenchmarkClaude Opus 4.8LFM2.5-8B-A1BResult
GPQASource 93.6%—Not comparable
GPQA-DSource 93.6%—Not comparable
HLESource 57.9%—Not comparable
HLE w/o toolsSource 49.8%—Not comparable
Artificial Analysis Intelligence IndexSource 55.7%8.3%Claude Opus 4.8 leads
AA-GPQA DiamondSource 92.0%51.3%Claude Opus 4.8 leads
AA-HLESource 45.7%6.9%Claude Opus 4.8 leads
AA-Omniscience IndexSource 27.4%-33.3%Claude Opus 4.8 leads
AA-Omniscience AccuracySource 46.6%9.4%Claude Opus 4.8 leads
AA-Omniscience Hallucination RateSource 35.9%47.0%Claude Opus 4.8 leads
MathClaude Opus 4.8 wins
BenchmarkClaude Opus 4.8LFM2.5-8B-A1BResult
USAMO 2026Source 96.7%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 47.241%—Not comparable
FrontierMath v2 (Tier 4)Source 31.250%—Not comparable
MATH-500Source —88.8%Not comparable
AIME 2025Source —42.5%Not comparable
AIME26Source —50.0%Not comparable
Multilingual
BenchmarkClaude Opus 4.8LFM2.5-8B-A1BResult
INCLUDESource 87.6%—Not comparable
Multimodal
BenchmarkClaude Opus 4.8LFM2.5-8B-A1BResult
OfficeQA ProSource 66.2%—Not comparable
ScreenSpot ProSource 87.9%—Not comparable
CharXivSource 89.9%—Not comparable
CharXiv w/o toolsSource 80.5%—Not comparable
Design Arena WebsiteSource 1274—Not comparable
Inst. Following
BenchmarkClaude Opus 4.8LFM2.5-8B-A1BResult
AA-IFBenchSource 62.2%55.6%Claude Opus 4.8 leads
IFEvalSource —91.8%Not comparable
IFBenchSource —56.5%Not comparable
Frequently Asked Questions (2)

Which is better, Claude Opus 4.8 or LFM2.5-8B-A1B?

Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 84 to 37.

Which is better for math, Claude Opus 4.8 or LFM2.5-8B-A1B?

Claude Opus 4.8 has the edge for math in this comparison, averaging 53.9 versus 50. LFM2.5-8B-A1B stays close enough that the answer can still flip depending on your workload.

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