Tag
Michael Gannotti shares that he has brought DeepSeek's V4 Flash AI model back online on his NVIDIA DGX cluster after completing model training, allowing him to resume local inference for running agents.
The article presents benchmark results for DeepSeek V4 Flash 0731 on Strix Halo hardware, showing performance with different draft models and n_max settings, concluding that n_max=3 offers the best speed balance.
The article introduces Gonka, a decentralized inference network that enables access to the V4-Flash AI model with full 1M context without requiring local GPU ownership, using an OpenAI-compatible interface.
A user reports that DeepSeek-V4-Flash-0731 is unreliable for non-coding office tasks like summarization and meeting notes, failing at concept extraction and speaker understanding despite strong benchmark scores, while Gemma-4-31B performs better.
The author comments on DeepSeek V4 Flash's price cut, believing it can help more vendors survive, and jokingly says that LLM vendors should call Liang Wenfeng 'Saint Liang'.
User asks for performance numbers on Deepseek V4 Flash running via Colibri, focusing on high VRAM setups, long context prefill, and token generation speed for agentic workloads.
DeepSeek V4 Flash has become Ollama's fastest growing model in token usage and the most popular model on OpenRouter this week, now available in Pi across multiple providers.
It is claimed that DeepSeek V4 Flash has only 284 billion parameters and only 13 billion active parameters, posing an efficiency shock to model manufacturers in China and the US.
The tweet suggests that running DeepSeek v4 Flash through the Hermes agent yields better output files than any other harness tested.
A recommendation to use the new DeepSeek v4 Flash model with the Pi harness, which works well with many recent open models until DeepSeek's own harness is released.
A tweet notes that DeepSeek V4-Flash scored 50 on the Artificial Analysis Intelligence Index, close to GPT-5.4's 51 from five months ago, and predicts local models will become the majority choice within two years.
Mike Bradley shares benchmark results claiming DeepSeek V4 Flash 0731 is the current state-of-the-art for 190GB VRAM systems, matching or exceeding an Unsloth 3-bit Qwen3.5-397B in quality while running about 3x faster.
Discusses DeepSeek V4-Flash's price per token vs. overall cost per task, citing a report that DeepSeek completes benchmark tasks at 105x lower cost than Fable.
Unsloth teases the upcoming release of DeepSeek V4 Flash GGUF quantized model on Hugging Face.
DeepSeek-V4-Flash official API is now live in public beta, featuring massively upgraded agent capabilities and benchmark scores surpassing V4-Pro-Preview.
An analysis of DeepSeek V4 Flash 0731, covering its intelligence, performance, and pricing compared to other AI models.
DeepSeek quietly updated its changelog with a V4-Flash upgrade, boosting its Terminal-Bench score to 82.7, a +25.8 leap from the April preview. It is currently API-only, with open weights coming soon.
DeepSeek V4 Flash shows significant benchmark gains in preview updates, trading blows with GPT-5.6 Terra on agentic coding tasks.
DeepSeek officially released DeepSeek-V4-Flash on the API in public beta, with significantly enhanced agent capabilities, new benchmark results, and native support for the Responses API and Codex integration.
An evaluation of the performance and capabilities of DeepSeek-V4 Flash, assessing its real-world effectiveness.