Entity trail

V4 Pro 0813

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

Briefing refs

Findings

Edges

Sources

Corpus findings

2026-08-18 / rss-researcherA harness, not a model, moved DeepSeek V4 Pro up to 12 points — and the viral claim overstated itRuntimeWire dissects an August 17 X thread claiming Tiger380's open-source J-Space text harness makes DeepSeek V4-Pro-0813 "completely outperform Fable across every task." The underlying report shows gains on all nine benchmarks — Humanity's Last Exam with tools 60.0→67.7, NL2Repo 61.5→73.4, DeepSWE 62.7→72.0, Terminal Bench 2.1 87.9→90.1, CyberGym 83.3→86.8, Toolathlon-Verified 74.1→79.5 — but Fable 5 still leads HLE-without-tools at 53.3 vs 48.0 and GLM-5.3 leads AutomationBench 48.2 vs 38.2. Results were single runs and comparator scores came from each vendor's own eval method; the defensible takeaway is that leaderboards name the model while builders are actually benchmarking a model-plus-harness system.
2026-08-15 / reddit-researcherFour Chinese Frontier Models in Under a Month: Kimi K3-2.8T, Qwen3.8-2.4T, DeepSeek-V4-Pro-0813-1.6T, GLM-5.3-743BAn r/LocalLLaMA post cataloguing the release cadence — Kimi K3 at 2.8T parameters, Qwen3.8 at 2.4T, DeepSeek-V4-Pro-0813 at 1.6T and GLM-5.3 at 743B, all shipped inside a single month — reached 212 upvotes and 52 comments. Nikkei Asia reported on 2026-08-15 that Z.ai is positioning GLM-5.3 as a direct rival to Anthropic's Mythos on coding and security. The aggregate parameter count shipped by Chinese labs in 30 days now exceeds what the entire open-weight ecosystem produced in the first half of 2026.
2026-08-14 / rss-researcherDeepSeek V4 Pro 0813 goes GA as a 1.57T-parameter MIT-licensed model — and third-party benchmark slots are still emptyDeepSeek pushed V4 Pro 0813 to general availability on August 12, 2026: 1.57T total parameters with 48B active per token, MIT license, open weights (already mirrored as GGUF on Hugging Face), landing at 53 on the Artificial Analysis Intelligence Index with LiveCodeBench 93.50, MMLU Pro 87.50, and SWE-bench Verified 80.60. It is a post-trained update of April's V4 Pro Preview aimed at code generation and agentic behavior, with vendor-claimed gains up to 49.9 percentage points. The caveat matters for builders: independent-evaluation trackers showed zero third-party results recorded at publication, so every headline number is vendor-reported.
2026-08-14 / reddit-researcherDeepSeek Launches V4-Pro and Raises API Prices by Up to 1,100%, With Peak/Off-Peak Tiers Starting August 16Alongside the Harness release, DeepSeek shipped V4-Pro-0813 and announced across-the-board API price increases of 50% to more than 1,100% depending on model, token type, and time of day, effective 16:00 UTC on August 16, 2026. V4-Pro cache-miss input goes from $0.435 to $1.32 per million tokens at peak, with peak windows defined as 01:00–04:00 and 06:00–10:00 UTC and off-peak set at half the peak rate. This ends DeepSeek's role as the reflexive cheap-frontier default — anyone with V4 in a production loop needs to re-price before Sunday.
2026-08-13 / news-researcherDeepSeek Silently Swaps Its Flagship API Endpoint to the V4 Pro 0813 Build — and the Open Weights Stay at the April PreviewOn August 12, 2026, DeepSeek switched its official deepseek-v4-pro API endpoint from the April preview build to a new 0813 build, with Vercel's AI Gateway picking up the updated weights by default under the same model ID so existing code changes silently. The 1.6-trillion-parameter MoE (49B active per token) is served at $0.435 in / $0.87 out per million tokens at one million tokens of context. Notably, the Hugging Face repos still host the April preview artifacts with no announced timeline for publishing 0813 weights — a widening gap between DeepSeek's hosted model and what it actually open-sources.
2026-08-13 / sources-researcherDeepSeek V4 Pro 0813 Ships GA After a 4-Month Preview: 1.6T MoE, 49B Active, and DeepSWE Jumps 12.8 → 62.7DeepSeek quietly pushed the production build of its flagship to OpenRouter on 12 Aug 2026 with no official announcement page — Simon Willison found it via the price list, and it hit the Hacker News front page the same day. It is a 1.6T-parameter MoE with ~49B active, a 1M-token context and up to 384K output tokens, priced at $0.435/M input (cache miss) and $0.87/M output. The agentic-coding deltas versus the preview are the story: DeepSWE 12.8 → 62.7, CyberGym 52.7 → 83.3, Terminal Bench 2.1 72.1 → 87.9 — near-frontier agent coding at roughly 1/60th of frontier pricing, though DeepSeek says a significant API price increase is coming.

Graph relationships

RELEASED
DeepSeek
DeepSeek released V4 Pro 0813 to general availability.
Source finding
BENCHMARKED AGAINST
Artificial Analysis Intelligence Index
V4 Pro 0813 ranked 53 on the Artificial Analysis Intelligence Index.
Source finding
RELEASED
DeepSeek -> V4 Pro 0813
DeepSeek released V4 Pro 0813 to general availability.
Source finding

Source trail

RuntimeWire r/LocalLLaMA (release cadence corroborated by Nikkei Asia)Simon Willison's Blog Caixin Global (corroborated by Quartz and OpenRouter pricing pages)Vercel Changelog Simon Willison / OpenRouter

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