Unverified50% confidenceBenchmarkExact time
Data released by Liquid AI shows that LFM2.5-24B-A2B beats Qwen3.6-35B-A3B on tool-use benchmarks
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/15/2026
First Seen
Valid until: 1/13/2027
Sources
Related Entities
Related Claims
UnverifiedLFM2.5-24B-A2B outperforms Qwen3.6-35B-A3B, Gemma-4-26B-A4B-it, and Nemotron-3.5-Lightning (30B-A3B) on multiple instruction-following and agentic benchmarks, but lags on knowledge-intensive benchmarks such as SWE-Bench Verified and GPQA Diamond.68% similarUnverified瑞芯微RK3588和联发科天玑系列已将AI推理能力下沉至百元级模组67% similarUnverifiedAccording to NVIDIA's official tests, the optimal decoding combination for Qwen3 27B on Jetson is NVFP4 quantization combined with speculative decoding.65% similarUnverifiedThe Agent's default self-hosted configuration uses the Qwen3.6-35B-A3B model with 4-bit quantization deployed via sglang.64% similarUnverifiedThe v4.1.24 update refreshed the model catalog, adding Claude Haiku 5.5, as well as providers such as AI/ML API, LowRouter, and Prime Inference.64% similar
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