The most powerful open-source model of the year just dropped, and you still can't run it at home
Moonshot released Kimi K3, an open‑weight model with 2.8 trillion parameters that rivals leading closed‑source AI systems in benchmark tests. The model demonstrates competitive performance on coding and agentic tasks while offering lower API pricing than comparable offerings. However, its hardware requirements remain prohibitive for home deployment, limiting it to data‑center‑scale environments.
- ▪Kimi K3 is the first open‑weight model to reach 2.8 trillion parameters, placing it near the performance of top closed models such as GPT‑5.6 Sol and Claude.
- ▪In benchmark evaluations, Kimi K3 scored 88.3 on Terminal‑Bench 2.1, closely matching GPT‑5.6 Sol’s 88.8 and surpassing Claude’s 88.0.
- ▪The API pricing for Kimi K3 is $3 per million uncached input tokens and $15 per million output tokens, making it cheaper than comparable models.
- ▪Despite its capabilities, Kimi K3 cannot be self‑hosted on typical home hardware and requires substantial compute resources akin to a mini data center.
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| Original publisher | XDA Developers |
| Canonical URL | https://www.xda-developers.com/powerful-open-source-model-year-dropped-cant-run-home/ |
| Publication time | Sat, 01 Aug 2026 14:30:10 GMT |
| Retrieval time | 2026-08-01T14:33:34.050Z |
| Last seen | 2026-08-01T14:33:34.050Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | UbgcLoaOmQRa · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
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| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
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{ "@context": "https://schema.org", "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": "1", "name": "Home", "item": "https://www.xda-developers.com/" }, { "@type": "ListItem", "position":"2", "name": "AI tools", "item": "https://www.xda-developers.com/ai-tools/" }, { "@type": "ListItem", "position":"3", "name": "The most powerful open-source model of the year just dropped, and you still can't run it at home", "item": "https://www.xda-developers.com/powerful-open-source-model-year-dropped-cant-run-home/" } ] } The most powerful open-source model of the year just dropped, and you still can't run it at home By Anurag Singh Published Aug 1, 2026, 10:30 AM EDT Anurag is an experienced journalist and author who’s been covering tech for the past 5 years, with a…
Excerpt limited to ~120 words for fair-use compliance. The full article is at XDA Developers.
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