Vast-10M: The First Frontier LLM with 10M Tokens of Context
A new form of attention, VSA, gives Vast-10M ten times the native context of OpenAI or Anthropic’s flagship models. Vast-10M-Flash beats Fable 5.1 head-to-head inside Fable’s advertised context window and matches GPT-6 Astra. Today, Voltropy is unveiling its first model family: Vast-10M, which combines frontier intelligence with a ten-million-token native context window.
- ▪A new form of attention, VSA, gives Vast-10M ten times the native context of OpenAI or Anthropic’s flagship models.
- ▪Vast-10M-Flash beats Fable 5.1 head-to-head inside Fable’s advertised context window and matches GPT-6 Astra.
- ▪Today, Voltropy is unveiling its first model family: Vast-10M, which combines frontier intelligence with a ten-million-token native context window.
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| Original publisher | Voltropy |
| Canonical URL | https://www.voltropy.com/blog/vast-10m/ |
| Publication time | Tue, 29 Sep 2026 10:00:08 +0000 |
| Retrieval time | 2026-09-29T10:10:11.430Z |
| Last seen | 2026-09-29T10:10:11.430Z |
| 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 | _UcWnFt1IlKF · 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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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| 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 |
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Opening excerpt (first ~120 words) tap to expand
A new form of attention, VSA, gives Vast-10M ten times the native context of OpenAI or Anthropic’s flagship models. Vast-10M-Flash beats Fable 5.1 head-to-head inside Fable’s advertised context window and matches GPT-6 Astra. Get early access to Vast-10M starting today. Today, Voltropy is unveiling its first model family: Vast-10M, which combines frontier intelligence with a ten-million-token native context window. Breaking the million-token barrier Context windows drawn to scale by area: Vast-10M 10 million tokens; GPT-6 Astra about 1.05 million; Claude Fable 5.1 1 million 10,000,000 Vast-10M native context ≈1,050,000 GPT-6 Astra 1,000,000 Claude Fable 5.1 Despite amazing breakthroughs in LLMs over the last three years, the context windows for frontier models have been stuck at one…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Voltropy.
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