Compare / LFM2.5 350M vs Gemma 3 1B
LFM2.5 350M vs Gemma 3 1B
Updated November 2026
Verdict
LFM2.5 350M scores higher on the Small LM Index: 12.6 vs 6.1. On the 2 benchmarks both labs report, LFM2.5 350M wins 2 and Gemma 3 1B wins 0. Both need about 1.2 GB of memory at 4-bit quantization. Neither model has a hosted API on OpenRouter, so you would run both yourself.
Pick LFM2.5 350M if…
- you want the strongest model overall
Pick Gemma 3 1B if…
No clear advantage in the data we have.
Specifications
| LFM2.5 350M | Gemma 3 1B | |
|---|---|---|
| Small LM Index | 12.6 (likely 10–17) | 6.1 (likely 5–8) |
| Lab | Liquid AI · United States | Google · United States |
| Released | 2026-03-31 | 2025-03-12 |
| Parameters | 350M (dense) | 1B (dense) |
| Memory at 4-bit | ~0.8 GB | ~1.2 GB |
| Context window | 32K tokens | 32K tokens |
| Input | text | text |
| Reasoning | No thinking | No thinking |
| License | LFM Open License | Gemma |
| API price / 1M tokens | Self-host only | Self-host only |
| Hugging Face downloads (30 days) | 114K | 212.6K |
Benchmarks
Higher is better. Bold marks the winner where both labs report a score. ≈ marks the index model's estimate for a score that wasn't reported, ✓ an independent measurement and * a score measured by another lab.
| Benchmark | LFM2.5 350M | Gemma 3 1B |
|---|---|---|
| MMLU-Pro Knowledge | 20.0 | 14.7 |
| GPQA Diamond Knowledge | 30.6 | 19.2 |
| LiveCodeBench Coding | ≈ 11 | 1.9 |
| τ²-Bench Agentic | 18.4 | — |
| IFBench Instruction following | 40.7 | — |
| IFEval Instruction following | 77.0 | — |
| BFCL Agentic | 21.9 | — |
Scores are mostly reported by each lab with its own settings, so small gaps are noise. See the methodology. Open in the interactive comparison to add more models.
Questions
Which is better, LFM2.5 350M or Gemma 3 1B?
LFM2.5 350M scores higher on the Small LM Index: 12.6 vs 6.1. On the 2 benchmarks both labs report, LFM2.5 350M wins 2 and Gemma 3 1B wins 0.
Which is cheaper to run?
Neither model has a hosted API on OpenRouter, so you would run both yourself. Both need about 1.2 GB of memory at 4-bit quantization.
Which has the longer context window?
Both have a 32K-token context window.
Can I use LFM2.5 350M and Gemma 3 1B commercially?
LFM2.5 350M is released under LFM Open License and Gemma 3 1B under Gemma. Apache 2.0 and MIT allow commercial use; other licenses can add conditions, so read the license before shipping a product.