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Model comparison

LFM2.5-VL-1.6B-Extract vs o3-mini

Data verified

Head-to-head evidence from 5 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
OpenAI
47.41/100
0 category wins0 category wins

Public leaderboard positions: LFM2.5-VL-1.6B-Extract unranked (Not scored); o3-mini #136 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-VL-1.6B-Extract and o3-mini share 5 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to LFM2.5-VL-1.6B-Extract; 5 to o3-mini.

Updated July 23, 2026
Shared results
5
LFM2.5-VL-1.6B-Extract only
10
o3-mini only
5
Comparable categories
0 / 8

Benchmark data for LFM2.5-VL-1.6B-Extract and o3-mini is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 3 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.

o3-mini has the larger context window at 200K, compared with 128K for LFM2.5-VL-1.6B-Extract.

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-VL-1.6B-Extract and o3-mini
CategoryLFM2.5-VL-1.6B-ExtractΔo3-mini
CodingLFM2.5-VL-1.6B-ExtractNot measuredMarginNo overlapo3-mini49.3
KnowledgeLFM2.5-VL-1.6B-ExtractNot measuredMarginNo overlapo3-mini77.2
Inst. FollowingLFM2.5-VL-1.6B-ExtractNot measuredMarginNo overlapo3-mini93.9

Operational comparison

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

MetricLFM2.5-VL-1.6B-Extracto3-miniComparison
Input / output priceUSD per 1M tokensLFM2.5-VL-1.6B-ExtractNot availableo3-mini$1.1 input / $4.4 outputA complete price comparison is not available.
Generation speedtokens per secondLFM2.5-VL-1.6B-ExtractNot availableo3-mini160 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-VL-1.6B-ExtractNot availableo3-mini7.12 sA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-VL-1.6B-Extract128Ko3-mini200Ko3-mini lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-VL-1.6B-Extracto3-miniResult
τ²-bench resultsSource 8.5%28.7%o3-mini leads
Coding
BenchmarkLFM2.5-VL-1.6B-Extracto3-miniResult
AA-SciCodeSource 3.0%39.9%o3-mini leads
SWE-bench VerifiedSource 49.3%Not comparable
Reasoning
BenchmarkLFM2.5-VL-1.6B-Extracto3-miniResult
AA-LCRSource 0.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkLFM2.5-VL-1.6B-Extracto3-miniResult
Artificial Analysis Intelligence IndexSource 1.0%19.0%o3-mini leads
AA-GPQA DiamondSource 28.9%74.8%o3-mini leads
AA-HLESource 5.1%8.7%o3-mini leads
AA-Omniscience IndexSource -83.9%Not comparable
AA-Omniscience AccuracySource 5.2%Not comparable
AA-Omniscience Hallucination RateSource 94.0%Not comparable
MMLUSource 86.9%Not comparable
GPQASource 77.2%Not comparable
Math
BenchmarkLFM2.5-VL-1.6B-Extracto3-miniResult
AIME 2024Source 87.3%Not comparable
Multimodal
BenchmarkLFM2.5-VL-1.6B-Extracto3-miniResult
Liquid Extract JSON ValiditySource 99.6%Not comparable
Liquid Extract F1Source 99.6%Not comparable
Liquid Extract VLM JudgeSource 90.6%Not comparable
AA-MMMU-ProSource 26.5%Not comparable
Inst. Following
BenchmarkLFM2.5-VL-1.6B-Extracto3-miniResult
AA-IFBenchSource 33.1%Not comparable
IFEvalSource 93.9%Not comparable
Frequently Asked Questions (3)

Can I compare LFM2.5-VL-1.6B-Extract and o3-mini 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-VL-1.6B-Extract and o3-mini today?

o3-mini: $1.10 input / $4.40 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 23, 2026

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