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Model comparison

LFM2.5-VL-1.6B-Extract vs MiMo-V2-Pro

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No comparison
67.78/100
0 category wins0 category wins

Public leaderboard positions: LFM2.5-VL-1.6B-Extract unranked (Not scored); MiMo-V2-Pro #17 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. LFM2.5-VL-1.6B-Extract and MiMo-V2-Pro share 11 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to LFM2.5-VL-1.6B-Extract; 4 to MiMo-V2-Pro.

Updated July 23, 2026
Shared results
11
LFM2.5-VL-1.6B-Extract only
4
MiMo-V2-Pro only
4
Comparable categories
0 / 8

Benchmark data for LFM2.5-VL-1.6B-Extract and MiMo-V2-Pro is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 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.

MiMo-V2-Pro has the larger context window at 1M, 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 MiMo-V2-Pro
CategoryLFM2.5-VL-1.6B-ExtractΔMiMo-V2-Pro
CodingLFM2.5-VL-1.6B-ExtractNot measuredMarginNo overlapMiMo-V2-Pro78.0

Operational comparison

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

MetricLFM2.5-VL-1.6B-ExtractMiMo-V2-ProComparison
Input / output priceUSD per 1M tokensLFM2.5-VL-1.6B-ExtractNot availableMiMo-V2-ProNot availableA complete price comparison is not available.
Generation speedtokens per secondLFM2.5-VL-1.6B-ExtractNot availableMiMo-V2-ProNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-VL-1.6B-ExtractNot availableMiMo-V2-ProNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-VL-1.6B-Extract128KMiMo-V2-Pro1MMiMo-V2-Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLFM2.5-VL-1.6B-ExtractMiMo-V2-ProResult
τ²-bench resultsSource 8.5%95%MiMo-V2-Pro leads
Claw-EvalSource 57.8%Not comparable
Gert LabsSource 36.68%Not comparable
ResearchClawBenchSource 15.3%Not comparable
Coding
BenchmarkLFM2.5-VL-1.6B-ExtractMiMo-V2-ProResult
AA-SciCodeSource 3.0%42.5%MiMo-V2-Pro leads
SWE-bench VerifiedSource 78%Not comparable
Reasoning
BenchmarkLFM2.5-VL-1.6B-ExtractMiMo-V2-ProResult
AA-LCRSource 0.0%60.7%MiMo-V2-Pro leads
CritPtSource 0.0%0.3%MiMo-V2-Pro leads
Knowledge
BenchmarkLFM2.5-VL-1.6B-ExtractMiMo-V2-ProResult
Artificial Analysis Intelligence IndexSource 1.0%40.3%MiMo-V2-Pro leads
AA-GPQA DiamondSource 28.9%87.0%MiMo-V2-Pro leads
AA-HLESource 5.1%28.3%MiMo-V2-Pro leads
AA-Omniscience IndexSource -83.9%4.9%MiMo-V2-Pro leads
AA-Omniscience AccuracySource 5.2%26.8%MiMo-V2-Pro leads
AA-Omniscience Hallucination RateSource 94.0%29.9%MiMo-V2-Pro leads
Multimodal
BenchmarkLFM2.5-VL-1.6B-ExtractMiMo-V2-ProResult
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-ExtractMiMo-V2-ProResult
AA-IFBenchSource 33.1%68.8%MiMo-V2-Pro leads
Frequently Asked Questions (2)

Can I compare LFM2.5-VL-1.6B-Extract and MiMo-V2-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.

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Last updated: July 23, 2026

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