[AINews] Moonshot Kimi K2.6: the world's leading Open Model refreshes to catch up to Opus 4.6 (ahead of DeepSeek v4?)
Yay Kimi!!!
Bite-sized AI for curious minds...
Moonshot AI's long-context chatbot
Kimi by Moonshot AI offers a 2M token context window โ one of the longest available. Excels at analyzing lengthy documents, codebases, and research papers in Chinese and English. Free to use with daily limits. Popular among Chinese knowledge workers.
Yay Kimi!!!
Weโve been benchmarking a few models on our API platform and got some interesting performance numbers: - MiniMax M2.5 โ 0.118s time-to-first-token, 103 tokens/sec - GLM 5.1 โ 120 tokens/sec throughput - Kimi K2.5 โ 0.643s TTFT, 69 tokens/sec - All models โ ~99.9% request success rate The latency difference is especially noticeable, ~0.1s TTFT feels almost instant in interactive apps. Let me know how you're evaluating LLM APIs. Are you optimizing more for latency, thro
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