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Model comparison

LFM2.5-8B-A1B vs o3-pro

Data verified

Head-to-head evidence from 2 shared benchmark results across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

41.25/100
Margin
7.0pts
winning →
OpenAI
48.29/100
0 category wins0 category wins

BenchAlign evidence: LFM2.5-8B-A1B estimated; o3-pro supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-8B-A1B and o3-pro share 2 comparable benchmark results. 0 of 8 categories are comparable. 16 results are unique to LFM2.5-8B-A1B; 0 to o3-pro.

Updated July 16, 2026
Shared results
2
LFM2.5-8B-A1B only
16
o3-pro only
0
Comparable categories
0 / 8

Benchmark data for LFM2.5-8B-A1B and o3-pro is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 2 shared benchmark results across 1 evidence category; 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.

o3-pro is priced at $20.00 input / $80.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for LFM2.5-8B-A1B. o3-pro has the larger context window at 200K, 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 LFM2.5-8B-A1B and o3-pro
CategoryLFM2.5-8B-A1BΔo3-pro
MathLFM2.5-8B-A1B50.0MarginNo overlapo3-proNot measured
Inst. FollowingLFM2.5-8B-A1B68.8MarginNo overlapo3-proNot measured

Operational comparison

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

MetricLFM2.5-8B-A1Bo3-proComparison
Input / output priceUSD per 1M tokensLFM2.5-8B-A1B$0 input / $0 outputo3-pro$20 input / $80 outputLFM2.5-8B-A1B has the lower combined listed price.
Generation speedtokens per secondLFM2.5-8B-A1BNot availableo3-pro27 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-8B-A1BNot availableo3-pro84.93 sA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-8B-A1B128Ko3-pro200Ko3-pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-8B-A1Bo3-proResult
BFCL v4Source 49.7%Not comparable
τ²-bench resultsSource 16.1%Not comparable
Coding
BenchmarkLFM2.5-8B-A1Bo3-proResult
Terminal-Bench HardSource 4.5%Not comparable
AA-SciCodeSource 7.8%Not comparable
Reasoning
BenchmarkLFM2.5-8B-A1Bo3-proResult
AA-LCRSource 0.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkLFM2.5-8B-A1Bo3-proResult
AA-GPQA DiamondSource 51.3%84.5%o3-pro leads
AA-HLESource 6.9%Not comparable
AA-Omniscience IndexSource -33.3%Not comparable
AA-Omniscience AccuracySource 9.4%Not comparable
AA-Omniscience Hallucination RateSource 47.0%Not comparable
Artificial Analysis Intelligence IndexSource 8.3%32.5%o3-pro leads
Math
BenchmarkLFM2.5-8B-A1Bo3-proResult
MATH-500Source 88.8%Not comparable
AIME 2025Source 42.5%Not comparable
AIME26Source 50.0%Not comparable
Inst. Following
BenchmarkLFM2.5-8B-A1Bo3-proResult
IFEvalSource 91.8%Not comparable
IFBenchSource 56.5%Not comparable
AA-IFBenchSource 55.6%Not comparable
Frequently Asked Questions (3)

Can I compare LFM2.5-8B-A1B and o3-pro 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 o3-pro today?

LFM2.5-8B-A1B: $0.00 input / $0.00 output per 1M tokens o3-pro: $20.00 input / $80.00 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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