LFM2.5-2.6B vs LFM2.5-VL-3B: Specs & Benchmark Comparison
LFM2.5-2.6B and LFM2.5-VL-3B both come from Liquid AI, and both were released in August 2026. The two are similar in size, at about 3 billion and 3 billion parameters respectively.
The two models share 3 published benchmarks. LFM2.5-2.6B leads on 3 of them. The widest gaps are on IFBench, where LFM2.5-2.6B scores 59.2% against 25.8%; BFCL-V4, where LFM2.5-2.6B scores 56.9% against 32.5%. Averaged across everything we track, LFM2.5-2.6B sits at 55.5% and LFM2.5-VL-3B at 63.7%.
| Characteristic | LFM2.5-2.6B | LFM2.5-VL-3B |
|---|---|---|
| Company | Liquid AI | Liquid AI |
| Release Date | August 4, 2026 | August 12, 2026 |
| Parameters | 3B | 3B |
| Multimodal | No | Yes |
| Average Score | 55.5% | 63.7% |
| Benchmarks | ||
| IFBench | 59.2% | 25.8% |
| BFCL-V4 | 56.9% | 32.5% |
| Multi-IF | 80.1% | 59.4% |
Visual Benchmark Comparison
Verdict
Both models show equal results — the choice depends on your specific use case.
Both models show comparable average scores: LFM2.5-2.6B — 0.6, LFM2.5-VL-3B — 0.6.
Both models were released around the same time: 8/4/2026 and 8/12/2026.
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Frequently Asked Questions
Which is better for coding — LFM2.5-2.6B or LFM2.5-VL-3B?
Which model is cheaper — LFM2.5-2.6B or LFM2.5-VL-3B?
Which has a larger context window — LFM2.5-2.6B or LFM2.5-VL-3B?
The LFM2.5-2.6B and LFM2.5-VL-3B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the LFM2.5-2.6B or LFM2.5-VL-3B page. See also the complete list of AI model comparisons.