Unverified50% confidenceBenchmarkExact time
Ash's LLM Picker project collected 92 public Mac measurement data points, showing that on most models MLX leads LLAMA.cpp by only 1 to 1.2 times, with the large gaps mainly concentrated in the Qwen 3.5 and 3.6 series.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
10/13/2026
First Seen
Valid until: 1/11/2027
Sources
Related Entities
Related Claims
UnverifiedOn the same comprehensive governance leaderboard, MiMo-V2.6 PRO surpassed Kimi K3 and Tongyi Qianwen 3.8 Max, with only 5 overseas closed-source models scoring higher.62% similarUnverifiedOn the MCP Atlas benchmark, Glimmer scored 75.5, Gemma 4 scored 54.2, and Qwen 3.6 scored 62.5.61% similarUnverifiedThe open-source model MiniMax M2.6 Pro scored 46 points, while GLM 5.3 and Qwen 3.8 Max scored approximately 45 points, both close to GPT-6 Sol's score of 48 points.60% similarUnverifiedOn the Artificial Analysis benchmark, Qwen 3.8 approaches or even surpasses larger models such as GLM 5.2 Max, Kimi K3, and GPT 5.6.60% similarUnverifiedMuse Glimmer scores 75.5 on the MCP Atlas tool-calling benchmark, leading Qwen 3.6; scores 74.6 on agentic search tasks; and scores 94.7 on the AIME mathematical reasoning benchmark.59% similar
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