LFM2.5-VL-3B vs Qwen3.8-27B: Specs & Benchmark Comparison
LFM2.5-VL-3B is developed by Liquid AI, while Qwen3.8-27B comes from Alibaba. Both were released in August 2026. Qwen3.8-27B is the larger model at roughly 28 billion parameters, against 3 billion for LFM2.5-VL-3B.
The two models share 2 published benchmarks. Qwen3.8-27B leads on 2 of them. The widest gaps are on IFBench, where Qwen3.8-27B scores 79.5% against 25.8%; RealWorldQA, where Qwen3.8-27B scores 85.9% against 73.1%. Averaged across everything we track, LFM2.5-VL-3B sits at 63.7% and Qwen3.8-27B at 66.3%.
| Characteristic | LFM2.5-VL-3B | Qwen3.8-27B |
|---|---|---|
| Company | Liquid AI | Alibaba |
| Release Date | August 12, 2026 | August 14, 2026 |
| Parameters | 3B | 28B |
| Multimodal | Yes | Yes |
| Average Score | 63.7% | 66.3% |
| Benchmarks | ||
| IFBench | 25.8% | 79.5% |
| RealWorldQA | 73.1% | 85.9% |
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-VL-3B — 0.6, Qwen3.8-27B — 0.7.
Both models were released around the same time: 8/12/2026 and 8/14/2026.
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Frequently Asked Questions
Which is better for coding — LFM2.5-VL-3B or Qwen3.8-27B?
Which model is cheaper — LFM2.5-VL-3B or Qwen3.8-27B?
Which has a larger context window — LFM2.5-VL-3B or Qwen3.8-27B?
The LFM2.5-VL-3B and Qwen3.8-27B 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-VL-3B or Qwen3.8-27B page. See also the complete list of AI model comparisons.