Spark-X2.6

Headlines · 2

1. 7d
   CamThink AI benchmarks small models on agent tasks

   CamThink AI evaluated six language models with 4 billion parameters or fewer on its own AI agent task set, according to a Reddit post from /u/KienShen. The models were Qwen3.5-4B, Spark-X2.6, LFM3-1.7B, LFM2.5-2.6B, Gemma 4 E2B and MiniCPM5-2B, but the submitted text provides no individual scores, methodology or full results. CamThink AI argues that the intelligence density of small models is improving rapidly, though that trend is a vendor claim.

   r/LocalLLaMA · 🔥 0
2. Nov 3
   iFlytek launches Spark-X2.6 with a 1M-token context window

   iFlytek announced Spark-X2.6 at the 1024 Developer Festival, according to a Juejin report. The MoE model has 293B total parameters, activates 30B per token and supports a 1M-token context window, with emphasis on long-horizon tasks, coding and agent execution. The author demonstrated it building an ESP32 piano laboratory, diagnosing a Three.js physics bug, creating a CSS 3D Rubik’s cube and producing a flight simulator, but provided no independent comparison.

   掘金 · 人工智能 · 🔥 0

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