OpenCode Boosts DeepSeek Efficiency 30× – $10 Gets $300 Power
OpenCode’s co‑founder reveals a method to make DeepSeek 30 times more cost‑effective – $10 now delivers the performance that used to cost $300.
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OpenCode’s co‑founder reveals a method to make DeepSeek 30 times more cost‑effective – $10 now delivers the performance that used to cost $300.
NVIDIA's DeepSeek‑V4.1‑Flash‑1017 model is 81 GB smaller with only a 0.7‑point drop in Terminal‑Bench and 0.26 in SciCode, keeping near‑original performance for production inference.
OpenCode adds Claude subscription, raises DeepSeek V4.1 limit to $100 on the $10 Go plan, and adds an image generation tool for OpenAI, Gemini, Grok, etc.
DeepSeek V4.1-Flash (763B) runs on consumer GPUs with 12 GB VRAM using GSQ‑RCO quantization, reaching up to 231 tokens/s input processing, but requires ~239 GB storage.
DeepSeek has released the source code of DeepInfer, its inference engine, on GitHub. The open‑source tool speeds up model serving, lowers costs and runs on Nvidia and Huawei hardware.
DeepSeek V4.1 Flash 1017 delivers 244 tokens per second, beating GPT‑6.1 Sol, priced at $500/month. Its web‑search API is free until Oct 31, then $0.75 per 1k requests.
DeepSeek 4.1-1017 matches Opus 5, excels in 3D, coding, agents, visual tasks, offers a 1M‑token window, cheap pricing, and is available via app, web and API.
DeepSeek V4.1 Flash is now available for free on OpenCode, but the free tier caps the context window at 200,000 tokens.
DeepSeek launches Harness desktop client for Windows 64‑bit and Mac Apple Silicon, offering a simple double‑click install without Node or terminal.
DeepSeek adds four text‑to‑speech voices—Mira, Echo, Stella, Tide—and keeps V4 Pro active alongside V4.1 Flash with unchanged pricing after Sep 14.