KIMI

GitHub made Kimi K3 generally available in Copilot on August 6 at $3/$15 per million tokens, hosted on Fireworks AI. It is off by default for Business and Enterprise, the rollout was paused mid-day by a GitHub Actions incident, and it changes the price/quality calculus in the model picker.

Moonshot AI's Kimi Linear paper introduces KDA, a hybrid linear attention that beats full attention at all scales - 75% less KV cache, 6x decoding at 1M context, and open-source checkpoints.

Moonshot AI released the full Kimi K3 weights on HuggingFace today - 2.8T parameters, 1M context, native MXFP4 quantization, ~1.63TB download. The HN community reaction, what the license really says, and why this matters for the open-weights AI market.

Kimi K3 is the first open-source 3T-class model with a 1M-token context window, native vision, and OpenAI-compatible API. Here is what it does, how to call it, what it costs, and how it benchmarks against Fable 5 and GPT-5.6 Sol.

Where to access Kimi K3: Moonshot's API at $3 input and $15 output per million tokens, OpenRouter hosts, inference clouds, and open weights.

Kimi K3 brings 2.8 trillion parameters, native vision, a 1M-token context window, and long-horizon agent workflows. Here is what developers should know before adopting it.

A Kimi-generated macOS 27 concept shows the promise and limits of screenshot-driven website creation. Here is how K3's vision-in-the-loop workflow changes frontend agents.

Kimi K3 adds native vision, a 1M-token window, and longer agent runs, but K2.7 remains cheaper and easier to deploy. Here is the practical upgrade decision.

Moonshot AI releases Kimi K3 with 2.8 trillion parameters, 1M context window, and Delta Attention architecture. Here's what developers need to know about pricing, performance, and where it fits in the frontier model landscape.

A data-rich, source-cited comparison of the open-weights coding models that matter in 2026: GLM-5.2, DeepSeek V4, Qwen3, and the new Kimi K3 frontier entrant. Benchmark table, per-token pricing, context windows, self-host footprint, and a clear pick-X-if decision matrix.

Kimi K2.7-Code is Moonshot's open-source 1T parameter coding model with 30% fewer reasoning tokens than K2.6. Here's how to set it up with Claude Code, pricing breakdown, and honest benchmark analysis.

Moonshot AI's Kimi CLI offers unlimited coding sessions at zero marginal cost. Claude Code offers polish, deep Anthropic integration, and a subscription most serious devs already hold. Here is how to decide.

Two months ago, I built an AI website generator with Claude Sonnet 4. Today, Kimi K2 runs the show.