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All content about Kimi, organized for fast scanning.
Kimi.ai has made significant advancements with the launch of its K3 AI model, featuring 2.8 trillion parameters and a 1 million-token context window, alongside multimodal support. Additionally, the company introduced the K2.7 Code model, which boasts enhanced coding capabilities and a HighSpeed mode promising up to 6× faster performance. Recent benchmarks indicate that Kimi's models are competitive in crash safety and performance, highlighting their cost-effectiveness compared to other leading AI models.
A Kilo benchmark had two AI workflows build a crash-safe Go key-value database. The Kimi K3 planning + Grok 4.5 coding combo scored 93/100 vs. Claude Opus 5 at 98/100, while costing $1.27 instead of $31.71.
Kimi.ai has just rolled out Kimi K3, touting 2.8 trillion parameters, a 1 million-token context window, and native multimodal support. The launch spotlights new attention upgrades and MoE scaling claims, with open weights slated for July 27, 2026.
Kimi.ai has just rolled out Kimi K2.7 Code HighSpeed, bringing a faster mode for its open-source coding model. The company touts up to 6× speedups, but access is limited and beta notes hint at instability and capacity constraints.
Kimi.ai has just rolled out Kimi-K2.7-Code, touting big benchmark gains, improved long-horizon coding, and 30% lower reasoning-token usage. It’s available now via Kimi Code and the Kimi API, with a 6x High-Speed Mode coming soon. Pricing and comparisons are already sparking debate.
A recent benchmark write-up by Darko at Kilo Blog tests DeepSeek V4 Pro and Flash against Claude Opus 4.7 and Kimi K2.6 using a heavier FlowGraph workflow. It digs into where each model shines, stumbles, and how pricing shifts the value equation.
Kimi.ai has just rolled out Kimi Web Bridge, a Chrome extension it says lets agents browse like humans—searching, scrolling, clicking, and filling forms. It also touts support for tools like Claude Code, Cursor, and Codex, though early replies question reliability and security.
Kilo’s free week of Kimi K2.5 drove 3× expected usage and over 50B tokens/day, proving strong gains in architecture and large-scale reasoning. But heavy output and agent tool calls push token costs up, so teams must weigh capability against expense.