deepseek-ai/DeepSeek-V4-Flash-0731
deepseek-ai/DeepSeek-V4-Flash-0731 (via) The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters - 167GB on Hugging Face - but it appears to punch well above its weight. Artificial Analysis rank it ahead of MiniMax M3 - a 428B model.
- ▪deepseek-ai/DeepSeek-V4-Flash-0731 (via) The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities".
- ▪It's 304 billion parameters - 167GB on Hugging Face - but it appears to punch well above its weight.
- ▪Artificial Analysis rank it ahead of MiniMax M3 - a 428B model.
2 outlets in our directory ran this story, first to last over 12 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
- ▪ DeepSeek-AI/DeepSeek-V4-Flash-0731 — Huggingface
Simon Willison files mainly under blogs. We currently carry 53 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Simon Willison's Weblog |
| Canonical URL | https://simonwillison.net/2026/Jul/31/deepseek-v4-flash-0731/#atom-everything |
| Publication time | 2026-07-31T23:59:44+00:00 |
| Retrieval time | 2026-08-01T01:07:00.166Z |
| Last seen | 2026-08-01T01:07:00.166Z |
| 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 | fyGNMGkuFLBM · 2 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 |
Rights status (four layers)
WeSearch handling by dimension
| 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 |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
deepseek-ai/DeepSeek-V4-Flash-0731 (via) The latest release in DeepSeek's V4 family, "with substantially enhanced agentic capabilities". It's 304 billion parameters - 167GB on Hugging Face - but it appears to punch well above its weight. Artificial Analysis rank it ahead of MiniMax M3 - a 428B model. It's $0.14/million input and $0.27/million output pricing means this may currently be the best value-per-intelligence model out there. It's looking very good on the Intelligence Index vs. Cost per Intelligence Index Task chart: I got a disappointing pelican from it using the default reasoning level via OpenRouter: But when I bumped reasoning level up to high I got something much better: llm -m openrouter/deepseek/deepseek-v4-flash-0731 -t pelican -o reasoning_effort high
Excerpt limited to ~120 words for fair-use compliance. The full article is at Simon Willison's Weblog.