# LFM2.5-Embedding-350M vs Mercury 2.5

> Side-by-side benchmark comparison for LFM2.5-Embedding-350M and Mercury 2.5 across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/lfm2-5-embedding-350m-vs-mercury-2-5
- Last updated: September 8, 2026

- Shared sourced benchmarks: 0
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

No benchmark verdict yet: there is no shared sourced benchmark row for LFM2.5-Embedding-350M and Mercury 2.5.

## Summary

- LFM2.5-Embedding-350M and Mercury 2.5 do not currently share a sourced benchmark row. The mirror therefore compares metadata, pricing, context windows, and each model's separately reported coverage without naming a benchmark winner.

## Model Snapshot

| Property | LFM2.5-Embedding-350M | Mercury 2.5 |
|----------|----------|----------|
| Creator | LiquidAI | Inception |
| Type | Open Weight | Proprietary |
| Reasoning | Non-Reasoning | Reasoning |
| Context | 32K | 260K |
| Independent public score (not head-to-head) | null | null |
| Benchmarks Covered | 2 | 5 |
| Pricing (input/output) | $0.00 / $0.00 | $0.04 / $0.15 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- LFM2.5-Embedding-350M public-lane score: Coming soon
- Mercury 2.5 public-lane score: 44.5 (Estimated · #91/152)

| Benchmark | LFM2.5-Embedding-350M | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| τ³-bench results | Coming soon | 96.0% | Coming soon |
| DeepSearchQA | Coming soon | 34.0% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- LFM2.5-Embedding-350M public-lane score: Coming soon
- Mercury 2.5 public-lane score: 47.8 (Estimated · #73/151)

| Benchmark | LFM2.5-Embedding-350M | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| SciCode | Coming soon | 38% | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- LFM2.5-Embedding-350M public-lane score: Coming soon
- Mercury 2.5 public-lane score: 67.7 (Unranked · 1 rankable row)

### Knowledge

- Winner: Insufficient shared evidence
- LFM2.5-Embedding-350M public-lane score: Coming soon
- Mercury 2.5 public-lane score: 48.3 (Estimated · #94/182)

| Benchmark | LFM2.5-Embedding-350M | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| GPQA-D | Coming soon | 79.0% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- LFM2.5-Embedding-350M public-lane score: Coming soon
- Mercury 2.5 public-lane score: 80.1 (#53/121)

| Benchmark | LFM2.5-Embedding-350M | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| IFBench | Coming soon | 77% | Coming soon |

### Multilingual

- Winner: Insufficient shared evidence
- LFM2.5-Embedding-350M public-lane score: Coming soon
- Mercury 2.5 public-lane score: Coming soon

| Benchmark | LFM2.5-Embedding-350M | Mercury 2.5 | Winner |
|-----------|-----------|-----------|--------|
| NanoBEIR Multilingual | 57.7% | Coming soon | Coming soon |
| MKQA-11 | 69.1% | Coming soon | Coming soon |

## FAQ

### Can I compare LFM2.5-Embedding-350M and Mercury 2.5 on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but sourced benchmark coverage is still incomplete for a fair score-level comparison.

### Why does this page show "coming soon" values?

BenchLM only calls winners when public benchmark coverage is available on both sides of the comparison.

## Related Comparisons

- [LFM2.5-Embedding-350M vs LFM2.5-ColBERT-350M](/compare/lfm2-5-colbert-350m-vs-lfm2-5-embedding-350m)
- [Mercury 2.5 vs LFM2.5-ColBERT-350M](/compare/lfm2-5-colbert-350m-vs-mercury-2-5)
- [LFM2.5-Embedding-350M vs Mercury 2.5 Preview](/compare/lfm2-5-embedding-350m-vs-mercury-2-5-preview)
- [Mercury 2.5 vs Mercury 2.5 Preview](/compare/mercury-2-5-vs-mercury-2-5-preview)

## Explore More

- [LFM2.5-Embedding-350M profile](/models/lfm2-5-embedding-350m)
- [Mercury 2.5 profile](/models/mercury-2-5)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)
