[AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricing
Latent Space ● Covered by 10 sources
Moonshot AI released Kimi K3, an open-weights model with 2.8 trillion parameters and 1 million token context, claiming frontier-class performance comparable to closed models like Opus 4.8. Independent evaluations from Artificial Analysis placed it at index score 57 (between Opus 4.8 and GPT-5.5), while Arena ranked it #1 in frontend code tasks with a 76% pairwise win rate, and pricing was set at $3 per million input tokens and $15 per million output tokens, similar to Claude Sonnet 5. The release intensifies competition in open-source large language models and raises questions about deployment economics for the industry, though some evaluators noted persistent gaps in user experience versus the very top closed models and concerns about inference speed.
Why it matters
a great week for open models continues.
Also covered by
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- Interconnects — Kimi K3: The open-weights escalation
- Zvi (Don't Worry About the Vase) — On Kimi K3: Its Capabilities And Related Discontents
- Exponential View — 📈 Data to start your week
- Import AI — Import AI 465: Open vs closed gaps; Kimi K3; Demis' big policy plan
- The Neuron — Kimi K3 Pushed Open Models Toward the Frontier
- TheSequence — The Sequence Radar #897: Last Week in AI: China, Compression and the Open-Model Race
- Latent Space — [AINews] not much happened today
- The New Stack — Kimi K3 tops Arena’s coding leaderboard — and it’s open-weight
