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

> Side-by-side benchmark comparison for LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/lfm2-5-colbert-350m-vs-lfm2-5-embedding-350m
- Last updated: September 15, 2026

- Shared sourced benchmarks: 2
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M share only 2 sourced benchmark rows.

## Summary

- Only 2 shared sourced benchmark rows are available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.

## Model Snapshot

| Property | LFM2.5-ColBERT-350M | LFM2.5-Embedding-350M |
|----------|----------|----------|
| Creator | LiquidAI | LiquidAI |
| Type | Open Weight | Open Weight |
| Reasoning | Non-Reasoning | Non-Reasoning |
| Context | 32K | 32K |
| Independent public score (not head-to-head) | null | null |
| Benchmarks Covered | 2 | 2 |
| Pricing (input/output) | $0.00 / $0.00 | $0.00 / $0.00 |

## Category Breakdown

### Multilingual

- Winner: Insufficient shared evidence
- LFM2.5-ColBERT-350M public-lane score: Coming soon
- LFM2.5-Embedding-350M public-lane score: Coming soon

| Benchmark | LFM2.5-ColBERT-350M | LFM2.5-Embedding-350M | Winner |
|-----------|-----------|-----------|--------|
| NanoBEIR Multilingual | 60.5% | 57.7% | LFM2.5-ColBERT-350M |
| MKQA-11 | 69.4% | 69.1% | LFM2.5-ColBERT-350M |

## FAQ

### Is there enough evidence to pick between LFM2.5-ColBERT-350M and LFM2.5-Embedding-350M?

Not yet. The models share only 2 sourced benchmark rows, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [LFM2.5-ColBERT-350M vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-lfm2-5-colbert-350m)
- [LFM2.5-Embedding-350M vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-lfm2-5-embedding-350m)
- [LFM2.5-ColBERT-350M vs GPT-6 Astra](/compare/gpt-6-astra-vs-lfm2-5-colbert-350m)
- [LFM2.5-Embedding-350M vs GPT-6 Astra](/compare/gpt-6-astra-vs-lfm2-5-embedding-350m)

## Explore More

- [LFM2.5-ColBERT-350M profile](/models/lfm2-5-colbert-350m)
- [LFM2.5-Embedding-350M profile](/models/lfm2-5-embedding-350m)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
