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Model comparison

LFM2.5-ColBERT-350M vs LFM2.5-Embedding-350M

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.

Sibling matchup inside the LFM2.5 Retrievers family.

No comparison
0 category wins0 category wins

Evidence parity. LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M share 2 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to LFM2.5-ColBERT-350M; 0 to LFM2.5-Embedding-350M.

Updated July 23, 2026
Shared results
2
LFM2.5-ColBERT-350M only
0
LFM2.5-Embedding-350M only
0
Comparable categories
0 / 8

Benchmark data for LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M 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.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Operational comparison

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

MetricLFM2.5-ColBERT-350MLFM2.5-Embedding-350MComparison
Input / output priceUSD per 1M tokensLFM2.5-ColBERT-350M$0 input / $0 outputLFM2.5-Embedding-350M$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondLFM2.5-ColBERT-350MNot availableLFM2.5-Embedding-350MNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenLFM2.5-ColBERT-350MNot availableLFM2.5-Embedding-350MNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensLFM2.5-ColBERT-350M32KLFM2.5-Embedding-350M32KListed context windows are equal.

Benchmark Deep Dive

Multilingual
BenchmarkLFM2.5-ColBERT-350MLFM2.5-Embedding-350MResult
NanoBEIR MultilingualSource 60.5%57.7%LFM2.5-ColBERT-350M leads
MKQA-11Source 69.4%69.1%LFM2.5-ColBERT-350M leads
Frequently Asked Questions (3)

Can I compare LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M 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-ColBERT-350M and LFM2.5-Embedding-350M today?

LFM2.5-ColBERT-350M: $0.00 input / $0.00 output per 1M tokens LFM2.5-Embedding-350M: $0.00 input / $0.00 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 23, 2026

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