MKQA-11 multilingual retrieval (MKQA-11)
We show this table for reference; we do not rank on it.
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 — November 13, 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.
LFM2.5-ColBERT-350M
LiquidAI
Reported by LiquidAILFM2.5-Embedding-350M
LiquidAI
Reported by LiquidAI2 modelsMultilingualCurrentDisplay onlyUpdated November 13, 2026
Benchmark score table (2 models)
All 2 results on this page were reported by the labs that built the models.
| Rank | Model / configuration | Score | Who ran it | Parameters (B) | Open / closed |
|---|---|---|---|---|---|
| 1 | LFM2.5-ColBERT-350MLiquidAIReported by LiquidAI | 69.4% | Reported by LiquidAI | Not reported | Open |
| 2 | LFM2.5-Embedding-350MLiquidAIReported by LiquidAI | 69.1% | Reported by LiquidAI | Not reported | Open |
- Lab-reported
- Benchmark-run
- Independent
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
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 published results on MKQA-11 in the BenchLM catalog.
Compare top models on MKQA-11
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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