DeepSeek V4 Pro 0813 released, competes on cost and capability
ByPulseAugur Editorial·[34 sources]·
DeepSeek has released its V4 Pro 0813 model, an enhanced version with improved agentic capabilities and performance, particularly for production environments. This model is now available on platforms like Hugging Face and Together AI. Benchmarks indicate that DeepSeek V4 Pro 0813 offers competitive performance, especially in terms of cost-effectiveness, when compared to leading proprietary models such as GPT-5.6 Sol and Claude Fable 5 on software engineering tasks.
AI
IMPACT
Sets a new benchmark for cost-effective performance in software engineering tasks, potentially influencing pricing strategies for other frontier models.
RANK_REASON
Frontier-lab model release with system card and benchmark comparisons.
DeepSeek V4 Pro 0813 is live on Together AI
DeepSeek’s flagship V4 Pro release brings a 1.6T MoE architecture, 1M context, and three reasoning modes for coding, agents, and complex reasoning. https://t.co/L2HMVGoirV
X — Together (inference / OSS)
TIER_1English(EN)·togethercompute·
We analyzed DeepSeek-V4 Pro 0813 against GPT-5.6 Sol and Fable 5 on software engineering tasks using DeepSWE.
DeepSeek-V4 Pro 0813 reaches 88.5% pass@4 while costing $0.24 per task, 35x less than Sol and 90x less than Fable.
More insights in the thread 👇
We ran 904 DeepSWE rollouts on DeepSeek V4 Pro 0813 and GPT-5.6 Sol. Sol leads pass@1 by 10 points at 35x the cost; Pro wins pass@4, and a Pro-first cascade hits 83.0%.
We ran 904 DeepSWE rollouts on DeepSeek V4 Pro 0813 and Claude Fable 5. Fable leads pass@1 at 90x the cost; Pro wins pass@4, and a Pro-first cascade hits 82.7%.
<p><img alt="" class="attachment-full size-full wp-post-image" height="1152" src="https://the-decoder.com/wp-content/uploads/2026/06/deepseek_red_whale.png" style="height: auto; margin-bottom: 10px;" width="2048" /></p> <p> Deepseek has moved its flagship V4-Pro out of the testin…
Hacker News — AI stories ≥50 points
TIER_1Nederlands(NL)·explosion-s·
📰 DeepSeek marks up two V4 Pro models; Qwen3.6 doubles price. Price moves tracked hourly on olud.ai. https:// olud.ai/news/2026-08-21.html # AI # OpenSource # AINews
RT @deepseek_ai: Heute starten wir DeepSeek-V4-Pro! 🚀 🔷 Wichtige Agent-Verbesserungen mit starken Produktionsgewinnen! 🔷 Flexibler Reasoning-Aufwand für V4-Pro & V4-Flash: niedrig für einfache Aufgaben, hoch für tägliche Agent-Workflows, maximal für komplexe Aufgaben. 🔷 Native Un…
📰 DeepSeek V4 Pro spikes 118% while GLM 5.2 cuts 18% — a sharp split in AI pricing. What's driving the divergence? https:// olud.ai/news/2026-08-20.html # AI # OpenSource # AINews
RT @digitalix: Ich habe DeepSeek-V4-Flash auf einer einzelnen DGX Station GB300 benchmarkt und die Ergebnisse sind ziemlich beeindruckend: 286 Tokens/Sekunde im Single-Stream-Betrieb, 4.553 Tokens/Sekunde bei 32 gleichzeitigen Anfragen, WikiText-2 ppl 5.128. Die größte Überraschu…
📰 DeepSeek V4 Flash and GLM 5.2 lead a broad AI price surge. Our hourly tracking shows the full picture. https:// olud.ai/news/2026-08-19.html # AI # OpenSource # AINews
<p><strong>Disclosure:</strong> TechSifted earns affiliate commissions from some links on this site. This never influences our editorial coverage — we don't have an affiliate relationship with DeepSeek. See our <a href="/about/">full disclosure policy</a>.</p> <p>DeepSeek V4-Pro …
🧬 Just added to the tracker: DeepSeek V4 Pro 0813 (DeepSeek) Context: 1M tokens · $0.66 in / $1.98 out per 1M · open weights All the latest models, tracked hourly: https:// olud.ai/latest.html # AI # LLM # OpenSource
<h4> <em>What DeepSeek V4 Pro's free tier actually is, how request-based (not token-based) billing works, what one request means inside an agent loop, and what 200 covers.</em> </h4> <p>"200 requests a day" sounds small until you realize it's counted by <strong>request, not token…
<p><a class="article-body-image-wrapper" href="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Favatars.githubusercontent.com%2Fu%2F148330874%3Fs%3D400%26v%3D4"><img alt="DeepSeek AI on GitHub" height="400" src="h…
RT @ChrisGPT: DeepSeek V4 Pro 0813 ist heute ebenfalls veröffentlicht! DeepSeek meldet Sprünge von 72,1 % auf 87,9 % im Terminal-Bench 2.1, von 52,7 % auf 83,3 % im CyberGym und von 12,8 % auf 62,7 % im DeepSWE!! Es kostet 0,435 $ pro Million Eingabe-Token und 0,87 $ pro Million …
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vn5jbx/deepseekv4pro0813_released_on_api/"> <img alt="DeepSeek-V4-Pro-0813 released on api" src="https://external-preview.redd.it/3lBEFLQUARzXL2LQvzR4hFBEJoacZj3wSErIs-8t1iM.jpeg?width=140&height=74&a…
RT @ChrisGPT: DeepSeek V4 Pro 0813 ist heute ebenfalls verfügbar! DeepSeek meldet Sprünge von 72,1 % auf 87,9 % bei Terminal-Bench 2.1, von 52,7 % auf 83,3 % bei CyberGym und von 12,8 % auf 62,7 % bei DeepSWE!! Es kostet 0,435 $ pro Million Eingabetokens und 0,87 $ pro Million Au…
DeepSeek V4-Pro launched with new peak/off-peak pricing tiers effective August 16, offering improved agent benchmarks and native OpenAI Responses API support. # news # ai
DeepSeek aktualizuje flagowy model V4-Pro o 1,6 bln parametrów i udostępnia otwartoźródłowy system Harness, jednocześnie drastycznie podnosząc ceny API przed planowanym wejściem na giełdę. # si # ai # sztucznainteligencja # wiadomości # informacje # technologia https:// aisight.p…
RT @deepseek_ai: Heute starten wir DeepSeek-V4-Pro! 🚀 🔷 Wesentliche Agent-Verbesserungen mit starken Produktivitätssteigerungen! 🔷 Flexibler Reasoning-Aufwand für V4-Pro & V4-Flash: niedrig für einfache Aufgaben, hoch für tägliche Agent-Workflows, maximal für komplexe Aufgaben. 🔷…
DeepSeek-V4-Pro-0813 ist ein textgenerierendes Modell mit MIT-Lizenz. Es integriert DSpark für spekulative Dekodierung und zeigt in Benchmarks wie HLE und Terminal Bench starke Agentic-Performance. Die Architektur unterstützt lange Kontexte. https:// huggingface.co/deepseek-ai/De…
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1vrsn4q/scaling_selfverification_with_deepseek_v4_flash/"> <img alt="Scaling self-verification with DeepSeek V4 Flash beats Claude Fable 5 on Terminal-Bench 2.1, while being 11x cheaper" src="https://external…
