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BenchLM

MKQA-11 multilingual retrieval (MKQA-11)

We show this table for reference; we do not rank on it.

Data verified 34 confirmed releases in the last 30 daysFollow model changes

A display-only multilingual QA retrieval benchmark reported by Liquid AI for LFM2.5 retriever models, using Recall@20 across 11 languages.

Benchmark score on MKQA-11 — September 27, 2026

We compile the MKQA-11 rows from provider self-reports. LFM2.5-ColBERT-350M leads the table at 69.4%, followed by LFM2.5-Embedding-350M (69.1%). We do not use these results to rank models overall.

2 modelsMultilingualCurrentDisplay onlyUpdated September 27, 2026

Benchmark score table (2 models)

Score
1
LFM2.5-ColBERT-350MLiquidAI · Open weight
69.4%
2
LFM2.5-Embedding-350MLiquidAI · Open weight
69.1%

About MKQA-11

Year

2026

Tasks

Cross-lingual open-domain QA retrieval

Format

Recall@20 average

Difficulty

Multilingual retrieval

Liquid reports MKQA-11 average Recall@20 across Arabic, German, English, Spanish, French, Italian, Japanese, Korean, Norwegian, Portuguese, and Swedish. BenchLM stores the average as a display-only retrieval signal.

Freshness and provenance

Version

MKQA-11 2026

Refresh cadence

Quarterly

Staleness state

Current

Question availability

Public benchmark set

CurrentDisplay only

BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.

Questions

What does MKQA-11 measure?

A display-only multilingual QA retrieval benchmark reported by Liquid AI for LFM2.5 retriever models, using Recall@20 across 11 languages.

Which model scores highest on MKQA-11?

LFM2.5-ColBERT-350M by LiquidAI currently leads with a score of 69.4% on MKQA-11.

How many models are evaluated on MKQA-11?

2 AI models have been evaluated on MKQA-11 on BenchLM.

Last updated: September 27, 2026 · BenchLM version MKQA-11 2026

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