DeepSeek发布了其V4 Flash模型，其性能可与OpenAI的GPT-5.6 Luna和Anthropic的Claude Opus 4.8等顶级模型相媲美，但成本却显著降低。这款新模型，特别是0731更新，由于重新进行了后训练，在智能体和编码基准测试中取得了 substantial 提升，使其成为寻求成本效益AI解决方案的开发人员和企业的极具吸引力的选择。V4 Flash的经济实惠性和强大性能正在重塑开发者的默认选择，并被视为中国AI发展的一个关键时刻，有可能使先进AI功能的访问民主化。
AI
<p>Hey everyone! For folks who missed the news - Kimi K3 & DeepSeek v4 Flash can now run locally with Unsloth Dynamic GGUFs! We now added more efficient and faster downloading for Colab, low memory systems and also high memory and CPU systems - we auto fallback to HTTP as wel…
<p>Hey everyone! For folks who missed the news - Kimi K3 & DeepSeek v4 Flash can now run locally with Unsloth Dynamic GGUFs! We now added more efficient and faster downloading for Colab, low memory systems and also high memory and CPU systems - we auto fallback to HTTP as wel…
<p>Hey everyone! For folks who missed the news - Kimi K3 & DeepSeek v4 Flash can now run locally with Unsloth Dynamic GGUFs! We now added more efficient and faster downloading for Colab, low memory systems and also high memory and CPU systems - we auto fallback to HTTP as wel…
DeepSeek V4 Flash 0731 is now available to fine-tune on Together AI.
Specialize it for coding, tool use, and your own domain with SFT or DPO, then deploy the fine-tuned model on Together AI for production inference.
https://t.co/MFkqLlOKAj https://t.co/TpTihq8vic
X — Together (inference / OSS)
TIER_1English(EN)·togethercompute·
Frontier performance you can actually own. Proud to help power DeepSeek-V4-Flash on Ollama's cloud, with the fastest hosted performance available. Open weights, zero data retention, U.S. & EU hosting.
Congrats to @deepseek_ai on their release of DeepSeekv4 Flash 0731 🔥 It massively beats Nemotron3 Ultra on agentic tasks while having 4.2x fewer active parameters and close to 2x fewer total parameters!
Committee-based model frontier development does not work. A focused team is …
X — Together (inference / OSS)
TIER_1English(EN)·togethercompute·
We analyzed DeepSeek-V4 Flash-0731 vs. GPT-5.6 Luna on software engineering tasks using DeepSWE.
DeepSeek-V4 Flash-0731 delivers 80% of Luna’s performance at roughly 1/6 the cost.
More insights in the thread! 👇
X — Together (inference / OSS)
TIER_1English(EN)·togethercompute·
🤯 DeepSeek reports V4 Flash at 82.7 on Terminal-Bench 2.1, ahead of V4 Pro Preview at 72.1, despite using roughly one-fifth the total parameters. https://t.co/SGRiiKCcu3
X — Together (inference / OSS)
TIER_1English(EN)·togethercompute·
DeepSeek V4-Flash leads OpenRouter weekly rankings with 7.1 trillion tokens, Chinese models claim nine of the global top 10 slots, and global weekly AI token usage crosses 56.8 trillion.
<p>DeepSeek published DeepSeek-V4-Flash-0731 on Hugging Face and moved the official V4-Flash API into public beta on July 31, 2026. The model card is explicit that this is the official release superseding the preview, and that the architecture and size are unchanged. The gains co…
Towards AI
TIER_1English(EN)·Caspar Bannink - AI Engineer·
A 304B parameter open-source model just matched Claude Opus-4.8. Beijing-based DeepSeek’s official release of V4-Flash marks a massive leap in Chinese AI efficiency, outperforming its own V4-Pro preview. This "third DeepSeek moment" gives global developers a formidable, highly ef…
RT @u1tra_instinct: 🚨🚨🚨🚨🚨: am meisten angefragt seit der DeepSeekV4-Flash-GA-Veröffentlichung vom 31.07. Gestern. Jetzt abliteriert 32/32, zu 100 % kompatibel mit DSpark. Wenn euch meine Arbeit gefällt und ihr beitragen möchtet, könnt ihr mir gerne über X-Money oder GoFundMe (Lin…
DeepSeek V4 Flash 0731 is interesting not because it became larger, but because it became much more capable through post-training. The same architecture now delivers stronger coding-agent and tool-use performance while remaining remarkably inexpensive through the API. https:// op…
https://www. europesays.com/3166986/ DeepSeek Upgrades DeepSeek-V4-Flash-0731 with Major Agentic and Coding Gains # AgenticAI # AgenticArtificialIntelligence # AI # ArtificialIntelligence
<p>Choose DeepSeek V4 Flash for high-volume, latency-sensitive, and cost-controlled workloads; choose DeepSeek V4 Pro for difficult reasoning, coding, research, and long-horizon agents. Both offer a 1M-token context window, 384K maximum output, thinking and non-thinking modes, JS…
RT @jun_song: SuperDeepseek-V4-Flash läuft auf 2xDGX Spark mit einer Spitzenleistung von 122 Token pro Sekunde. Die Implementierung erfolgte basierend auf dem Rezept von @MiaAIlab, um DFlash MTP zu nutzen. 4-Bit-Quantisierung mit weniger als ~1 % Qualitätsverlust. Das Modell wurd…
RT @pupposandro: Lucebox Engine betreibt nun DeepSeek V4 Flash 0731 von einem einzelnen 98,29 GB großen GGUF auf einem 128 GB AMD Strix Halo System. Das Modell erreicht 82/92 Punkte auf ds4-eval-92 und erzielt 32,7 Token pro Sekunde mit DSpark. Über unsere festen Evaluierungen Hu…
<!-- SC_OFF --><div class="md"><p>Been benchmarking DSv4 Flash 0731 on a Flow Z13 (Ryzen AI MAX+ 395, Radeon 8060S / gfx1151, 128GB LPDDR5X) for the past week. Figured I'd share what actually works and what doesn't — there are a lot of gotchas on this hardware.</p> <h2>Results</h…
<!-- SC_OFF --><div class="md"><p>Having a ‘Killer Application’ that everyone wants to use helps sell hardware, plain and simple. DeepSeek V4 Flash 0731 isn’t an app of course, but I think it’s going to be the major catalyst for getting a lot of people to buy a couple of NVIDIA G…
<!-- SC_OFF --><div class="md"><p>Disclosure: I’m the author of Ante.</p> <p>DeepSeek recently reported an 82.7% score on Terminal-Bench 2.1 for DeepSeek V4 Flash 0731. Its evaluation used “DeepSeek Harness minimal mode,” which hasn’t been released yet.</p> <p>We wanted to see wh…
<!-- SC_OFF --><div class="md"><p>Howdy - I posted a benchmark here - <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vbtiy7/deepseek_v4_flash_on_slopcodebench/">https://www.reddit.com/r/LocalLLaMA/comments/1vbtiy7/deepseek_v4_flash_on_slopcodebench/</a></p> <p>This was us…
<!-- SC_OFF --><div class="md"><p>I have various quants of this model and am curious how they perform. can anyone recommend which benchmark would be a good test case for quantization effects? Maybe that can be completed with about 1 million tokens?</p> </div><!-- SC_ON -->   …
DeepSeek V4 Flash just jumped 56% in price as SGLang adds Kimi K3 support, two signals from the same hour that can change your deployment math. https:// olud.ai/news/2026-08-08.html # AI # OpenSource # AINews
DeepSeek V4 Flash closes in on frontier benchmarks at bargain prices, OpenAI pauses its Astra model over autonomous hacking fears, and memory chip shortages now extend through 2027. https:// ai0.news/posts/2026-08-08-dail y-digest/ # AI # Cybersecurity # OpenAI # AiPolicy
<!-- SC_OFF --><div class="md"><p>I’m running DSV4F 0731 on dual spark, and honestly… wow. It’s an absolute workhorse, and the benchmarks are real.</p> <p>Everyday tasks with Hermes agent? Effortless.</p> <p>Coding tasks with OpenCode? I’m genuinely amazed at what it can handle. …
<!-- SC_OFF --><div class="md"><p><em>(I am not a native speaker, written by myself, so please bear with me)</em></p> <p>I really want to like DeepSeek-V4-Flash-0731. But it has serious flaws that don't align with the high score on intelligence benchmarks. And those flaws render …
DeepSeek-V4-Flash-0731, an MIT-licensed open-weight model, pulled 617.9k downloads in 30 days. That's real traction for a model that's not locked behind any API. Click to see why it's climbing. https:// olud.ai/#leaderboard # OpenSource # AI # HuggingFace
RT @UnslothAI: DeepSeek-V4-Flash kann jetzt mit DSpark 2× schneller lokal ausgeführt werden! ⚡️ DSpark ermöglicht es V4-Flash-0731 GGUFs, ~1,4–2× schneller zu generieren, ohne Genauigkeitsverlust. DeepSeek-V4-Flash-0731 erreicht bis zu 120 Token/s. GGUFs: https:// huggingface.co/…
📦 DeepSeek V4 Flash 0731 lands on the leaderboard with open weights: 1M context at $0.09 in / $0.18 out. A new option for long-context tasks without the high cost. https:// olud.ai/latest.html # AI # LLM # OpenSource
DeepSeek V4 Flash is no longer text-only 👀 In our internal benchmarks, it delivered significantly better price-performance than others in its class. We’ve added vision for screen-level understanding, capabilities needed for WebBrain Available on HF: https:// huggingface.co/webbra…
<!-- SC_OFF --><div class="md"><p>Took the REAP adaptation of DeepSeek-V4-Flash (<code>0xSero/DeepSeek-V4-Flash-0731-REAP</code>) along with <code>antirez/deepseek-v4-gguf</code> as inspiration, and decided to see how aggressive we could get with standard quant tricks to create a…
🤖 DeepSeek's new V4 Flash really is 99% cheaper than Claude Opus 4.8: $0.28 vs $25 per million output tokens. It also beat Claude on Arena's front-end coding leaderboard and scores 82.7 on Terminal-Bench, ahead of some Claude tiers. That part is true. The nuance: on overall intel…
<!-- SC_OFF --><div class="md"><p>I've been working on speeding up DeepSeek-V4-Flash-0731 in Krasis and have now got the long-prompt prefill quite a bit faster on a single RTX PRO 6000 96GB.</p> <p>These are timing-disabled internal Krasis results using INT4 experts. They aren't …
<!-- SC_OFF --><div class="md"><p>I really like to use this one SQL benchmark when testing new models. I had another post some time ago with my benchmarks, but I decided to post a new one because of how well Deepseek did. I like the benchmark because it's quick to run, is pretty …
<!-- SC_OFF --><div class="md"><p>First of all, obviously I took some help from AI to type this post and this is the topic that enabled me to accomplish all that:</p> <p><a href="https://old.reddit.com/r/LocalLLaMA/comments/1veow4b/deepseek_v4flash_284b_moe_at_33_toks_single_68/"…
DeepSeek-V4-Flash-0731 is pulling 236.1k monthly downloads—real demand, not just hype. That’s 2.1k stars on an MIT-licensed text model. The open-weight leaderboard shifts daily, and this one’s climbing for a reason. https:// olud.ai/#leaderboard # OpenSource # AI # HuggingFace
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1veow4b/deepseek_v4flash_284b_moe_at_33_toks_single_68/"> <img alt="DeepSeek V4-Flash (284B MoE) at 33 tok/s single / 68 tok/s aggregate on 2× RTX 3090 + a used quad-Xeon DDR4 server — full config" src="https:…
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1venecp/we_tested_deepseek_v4_flash_glm_52_and_kimi_k3_on/"> <img alt="We tested Deepseek v4 flash, GLM 5.2, and Kimi K3 on hard agentic tasks, and DeepSeek just crushed" src="https://preview.redd.it/uybjxyypj…
<!-- SC_OFF --><div class="md"><p>So this is the stuff of absolute insanity. In less than 20 months we've gone from super expensive cloud models only, to being able to run a Q3 quant of DeepSeek on an Intel Windows PC with a very average 24GB of VRAM. No wonder the big boys are p…
<!-- SC_OFF --><div class="md"><p>Originally, I was only getting around 140pp/s and about 21tg/s, but the config with <code>-b 8192 -ub 8192 --cpu-moe</code> is vastly superior, let's say <strong>700pp/s</strong> and <strong>18tg/s</strong> in the most relevant range.</p> <p><str…
RT @runsonai: Ich habe den ganzen Tag über DeepSeek V4 Flash genutzt und bin sehr beeindruckt. Als Hermes-Agent erledigt er alles, was man sich wünscht: agentices Verhalten, Tool-Calling, Programmierung und Reaktionsfähigkeit. Die Schwäche von DS4F liegt im Harness; das Modell se…
<p>On 2026-07-31, DeepSeek quietly shipped <strong>V4-Flash-0731</strong> under an MIT license. Instead of reading the model card, VIDRAFT's <strong>Darwin</strong> model-inspection platform read the actual <code>config.json</code> and every weight shard — <strong>72,317 tensors …
<!-- SC_OFF --><div class="md"><p>I decided to test a few questions against DeepSeek-V4-Flash-0731. Locally, I was running Unsloth's UD-Q2_K_XL quant. After I saw the surprising shape of the results, I tested against DeepSeek's official API to confirm that I didn't do anything wr…
<!-- SC_OFF --><div class="md"><p>You have two choices here (in order of pref):</p> <ol> <li><p>Downgrade CUDA from 13.3 to 13.1 (skip 13.2 due to bugs) <- prefer this (thanks to <a href="/u/fairydreaming">u/fairydreaming</a> for pointing this out)</p></li> <li><p>Use this vib…
<!-- SC_OFF --><div class="md"><p># Running DeepSeek-V4-Flash-0731 (155 GB MoE) on a DGX Spark with vLLM-Moet 2-bit quantization</p> <p>I used Deepseek-v4-Flash-0731 cloud API settig up vllm-moet to run deepseek-v4-flash with MTP locally on single DGX Spark at 2-bit quant. Though…
<p>DeepSeek shipped the official V4-Flash on July 31 — <strong>open weights, MIT license, and a technical report, all on day one.</strong></p> <p>The striking part isn't that the score is high. It's that <strong>the score and the price arrived together</strong>: 50 on the Artific…
RT @deepseek_ai: 🚀 Die offizielle DeepSeek-V4-Flash-API ist jetzt in der öffentlichen Beta verfügbar! 🔷 Wir haben ihre Agent-Fähigkeiten massiv verbessert – die Benchmark-Werte übertreffen nun die V4-Pro-Preview bei weitem. Entdecken Sie den enormen Leistungssprung unten! 👇 🔷 Die…
<!-- SC_OFF --><div class="md"><p>Hello everyone I want to join the hype of posting specs.</p> <p>CPU: AMD EPYC 74F3 24-Core</p> <p>RAM: 8 Channel 3200 DDR4</p> <p>GPU: RTX A6000 48GB</p> <p>Prompt processing is in the high 70t/s (got down to mid 30t/s at 300k context). Inference…
<!-- SC_OFF --><div class="md"><p>Hey all,</p> <p>tldr / who this helps: you run a mixed multi-GPU box where the experts spill to RAM, and you want to stay in the 3-bit tier instead of dropping to Q2 to make it fit. </p> <p><a href="https://huggingface.co/TacoTakumi/DeepSeek-V4-F…
<p>I believe the group-chat comparison. I do not believe it reflects the model’s true value.</p> <p>One person used the same prompt with GLM 5.2 + Claude Code and DeepSeek V4 Flash + Codex. The first run produced a playable game in a little over twenty turns. Another similar test…
🧠 # DeepSeek ha rilasciato DeepSeek V4 Flash 0731 tramite API ufficiale in public beta, con un aggiornamento concentrato soprattutto sulle capacità agentiche. 👉 I dettagli: https://www. linkedin.com/posts/alessiopoma ro_deepseek-claude-opus-share-7489318228167397376-DKwe/ ___ ✉️ …
<p>Instead of replacing the main model with a more expensive multimodal model, I gave a text-only agent an on-demand visual sensor.</p> <p>Many coding agents can already read repositories, write code, execute commands, and run tests. But in real development workflows, they often …
<h1> DeepSeek V4 Flash Official Release (0731): Agent Benchmarks Jump Past V4 Pro </h1> <p>On July 31, 2026, DeepSeek officially released <strong>DeepSeek-V4-Flash</strong> to public beta. The API calling convention is unchanged — set <code>model</code> to <code>deepseek-v4-flash…
DeepSeek's V4-Flash API launch improves agent capabilities with a post-training update, +25.8 on Terminal-Bench, and open-weights release. Source: Latent Space https://www. latent.space/p/ainews-not-much -happened-today-038 # AI # Automation
DeepSeek ha rilasciato la beta pubblica della # V4FlashAPI . Il nuovo modello mostra capacità per agenti e benchmark superiori alla V4 Pro Preview, segnando un passo avanti per l'ecosistema # AI e lo sviluppo di agenti intelligenti.
DeepSeek has upgraded its V4-Flash model with major gains in agentic and coding capabilities. The 284B-parameter MoE model now includes DSpark speculative decoding and supports the Responses API format. Pricing starts at 0.14 USD per million input tokens. https://www. marktechpos…
<!-- SC_OFF --><div class="md"><p>Antirez stealthily uploaded the new weights in the old folder... and there we were tapping our fingers.</p> <p><a href="https://huggingface.co/antirez/deepseek-v4-gguf/tree/main">https://huggingface.co/antirez/deepseek-v4-gguf/tree/main</a></p> <…
DeepSeek V4 Flash now defaults to updated weights on AI Gateway, delivering a 25.8-point Terminal-Bench boost to 82.7 for stronger agentic coding tasks. No model ID or code changes needed. Zero Data Retention providers arrive next week. Source: Vercel Blog https:// vercel.com/cha…
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vc4041/deepseek_v4_flash_is_now_2_open_weight_model_to/"> <img alt="Deepseek V4 Flash is now ~#2 open weight model to Kimi K3 and >50x cheaper" src="https://preview.redd.it/h7zv5tb3tmgh1.png?width=140&…
DeepSeek's V4 Flash model now scores 50 on the AI Index, nearly matching GPT-5.6 Luna at 60% lower cost. A clear win for efficiency. Source: The Decoder AI https:// the-decoder.com/new-deepseek-f lash-model-matches-openais-gpt-5-6-luna-at-roughly-60-percent-lower-cost/ # AI # Aut…
<p>With today's V4 Flash 0731 release, DeepSeek's V4 family now has two very different members, and picking between them is a real decision. Short version: Flash for agents and code, Pro for the hardest reasoning, Flash by forfeit if you want to run it yourself.</p> <h2> The spec…
<!-- SC_OFF --><div class="md"><p>First of all, I want to apologize if it's off-topic or in the wrong format.</p> <p>Having tried Deepseek Flash with reasoning high on a conceptually difficult task, involving Machine Learning classifiers and graphs. I am extremely impressed. It's…
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vbkvau/deepseekv4flash0731_now_far_surpassing_the/"> <img alt="DeepSeek-V4-Flash-0731 now far surpassing the DeepSeek-V4-Pro-Preview in benchmarks" src="https://preview.redd.it/bq9d2c2vyigh1.jpeg?width=640&am…
<table> <tr><td> <a href="https://www.reddit.com/r/LocalLLaMA/comments/1vbidkp/deepseekv4flash_has_been_updated_the_official/"> <img alt="DeepSeek-V4-Flash has been updated, "The official release of DeepSeek-V4-Pro will follow soon"" src="https://preview.redd.it/mbz7sdw…
RT @jun_song: TRANSLASATION: SuperDeepseek-V4-Flash läuft auf 2xDGX Spark mit einem Spitzenwert von 122 Token pro Sekunde. Die Arbeit basiert auf dem Rezept von @MiaAIlab zur Ausführung mit DFlash MTP. 4-Bit-Quantisierung mit weniger als ~1 % Qualitätsverlust. Außerdem wurde es a…
RT @pupposandro: Lucebox Engine betreibt nun DeepSeek V4 Flash 0731 von einem einzelnen 98,29 GB großen GGUF-Modell auf einem 128 GB AMD Strix Halo System. Das Modell erzielt 82/92 Punkte auf ds4-eval-92 und erreicht 32,7 Token pro Sekunde mit DSpark. Über unsere festgelegten Eva…
DeepSeek’s V4 Flash model lists at $0.14 per million input tokens and $0.28 per million output tokens, yet third parties undercut this. A 30x price hike may still leave it the cheapest for users with stable prompts due to its cache architecture. Source: Pandaily https:// pandaily…
RT @MiaAI_lab: Gebt mir ein besseres Setup, das DeepSeek v4 Flash lokal mit 80+ Token/s ausführt. Alles was ihr braucht sind 2 DGX Sparks. Ich warte darauf, dass Mike (@mike64t) Nvidia lacht, während die Leute auf einen 4.000 USD teuren glorifizierten Raspberry Pi hereinfallen, d…
284B in 2 Bit auf 128 GB: DeepSeek V4 Flash mit 20 tok/s DeepSeek V4 Flash als 2-Bit-GGUF auf 128 GB Unified Memory: 20 tok/s, 81/100 im Tool-Eval. Ein validiertes Laborobjekt für Offline-Betrieb, nicht für Effizienz. https:// aisyndicate.ch/deepseek-v4-fla sh-dgx-spark-test # AI…
DeepSeek V4 Flash 0731’s price fell 36% in 30 days: $0.28→$0.18 per 1M output tokens. Open weights make it an interesting alternative now. https:// olud.ai/model/deepseek-v4-flas h-0731.html # AI # LLM # Pricing
RT @iam_elias1: Deepseek v4 Flash ist überlastet, weil zu viele Menschen es nutzen. Das passiert, wenn man ein Modell zu gut macht. OpenCode (@opencode) hat derzeit Kapazitätsprobleme bei Deepseek Flash aufgrund des beispiellosen Volumens; Sie können Fehler sehen - wir arbeiten a…
I am just trying out DeepSeek v4 Flash 0731 and holly shit this thing is incredible for how small this model is and how little resources it needs. It only needs 128 GB... which is at least 4 to 15 times less then the comparable new Models like GLM-5.2 or Kimi-K3... I guess China …
RT @runsonai: Ich habe den ganzen Tag über DeepSeek V4 Flash genutzt und bin sehr beeindruckt. Als Hermes-Agent erledigt er alles, was man sich wünscht: agentices Verhalten, Tool-Calling, Programmierung und Reaktionsfähigkeit. Die Schwäche von DS4F liegt im Harness; das Modell se…
RT @Bassmaster187: Ich habe jetzt DeepSeek V4 Flash 0731 ausprobiert, da ich mit Qwen 3.6 27B an die Grenzen gestoßen bin. Das neue DeepSeek 0731 soll laut Benchmarks extrem gut sein und extrem günstig. Ich hatte mal ein Angular-Plugin für Grafana geschrieben, und Angular ist jet…
RT @MiaAI_lab: DeepSeek v4 Flash fühlt sich wie der Qwen3.6 27B-Moment noch einmal an, nur auf viel größerer Ebene. Noch nie konnte man so viel für so wenig Geld tun. Dies könnte die Wirtschaftlichkeit von KI verändern. OpenCode (@opencode) DeepSeek Flash hat am 1. August 8 Billi…
RT @__tinygrad__: 245 Single-User-Tokens pro Sekunde auf DeepSeek-V4-Flash-0731, und dabei werden nur 2 der RTX 6000 Blackwell-GPUs genutzt! Zu Ehren von DeepSeek starten wir die 2-GPU-Edition unserer tinybox. Alle Hardwarekomponenten für die Installation von 4 GPUs sind enthalte…
<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1vcbac2/deepseek_v4_flash_api_is_18x_cheaper_on_input_28x/"> <img alt="DeepSeek V4 Flash API is 18x cheaper on input, 28x cheaper on output, and matches Opus 4.8. Time for Claude to atleast reduce sonnet pricin…
<table> <tr><td> <a href="https://www.reddit.com/r/Anthropic/comments/1vc9zj1/newly_released_deepseek_v4_flash_official_scores/"> <img alt="Newly released Deepseek V4 Flash Official scores close to Claude Opus 4.8. Price: 0.18$ / 1mil OUTPUT tokens" src="https://preview.redd.it/u…
🤖 DeepSeek lancia API beta pubblica per V4 Flash Il modello di punta cinese ora disponibile con capacità agentiche potenziate e benchmark che superano V4-Pro-Preview. Aperta la strada per sviluppatori e aziende che cercano alternative economicamente accessibili. Fonte: Bloomberg …
<table> <tr><td> <a href="https://www.reddit.com/r/OpenAI/comments/1vc527y/new_post_train_of_deepseek_v4_flash_is_out/"> <img alt="New post train of DeepSeek v4 flash is out" src="https://preview.redd.it/vsao0zgg3ngh1.png?width=640&crop=smart&auto=webp&s=017d0be1788b6…
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1vbphpz/weights_of_deepseek_v4_flash_0731_have_been/"> <img alt="Weights of Deepseek v4 flash 0731 have been released!!!" src="https://external-preview.redd.it/4wuKMSgR8Kkk0pgA3-HhBYFoQX79t2M-87LJSpJS8lU.png?…
<table> <tr><td> <a href="https://www.reddit.com/r/singularity/comments/1vbm5m8/deepseekv4flash_official_api_is_now_live_in/"> <img alt="DeepSeek-V4-Flash Official API is now LIVE in public beta! Massive upgrades for flash model." src="https://preview.redd.it/z35fca23cjgh1.jpeg?w…
