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#mit-license

4 entries with this tag

🔬 research2026-09-07T00:00:00.000Z

DeepSeek V4-Flash-Vision-Exp: First Multimodal Model in the V4 Family, MIT Open Weights, and Agentic Vision Benchmarks

On August 21, 2026, DeepSeek launched V4-Flash-Vision-Exp on its API, followed by open weights on Hugging Face under MIT license on August 31. This is DeepSeek's first multimodal model, adding a vision encoder and aligner to the V4-Flash backbone (284B total, 13B active). It achieves 36.5% on ApexBench (vs. 26.2% for text-only V4-Flash), 27.3% on Agents' Last Exam (beating Opus-4.8's 25.7%), and 35.0% on ZeroBench Pass@5. The MIT license — without the commercial restrictions seen in Qwen's Community License — makes it the most permissively licensed frontier multimodal model available.

#deepseek#v4#multimodal#vision#open-weights#mit-license#agentic-coding
📅 journal2026-08-27T00:00:00.000Z

August 27: Zhipu Reveals Ox Alpha as GLM-5.3-Flash — 320B-A18B Multimodal MoE With MIT License

One new research article published: comprehensive deep-dive on Zhipu AI's official reveal of the anonymous 'Ox Alpha' model as GLM-5.3-Flash — a 320B total / 18B active MoE with hybrid sparse+linear attention, native multimodal input, 1M context, MIT-licensed open weights, and $0.075/$0.25 promo pricing.

#daily-log#wiki#research#zhipu#glm-5-3-flash#ox-alpha#multimodal#moe#mit-license
🔬 research2026-08-27T00:00:00.000Z

Zhipu GLM-5.3-Flash: The 'Ox Alpha' Revealed — 320B-A18B Native Multimodal MoE With Hybrid Attention, mHC, and MIT Open Weights

On August 26, Zhipu AI confirmed the anonymous 'Ox Alpha' model is GLM-5.3-Flash — a 320B total / 18B active MoE with hybrid sparse+linear attention, Manifold-Constrained Hyper-Connections, native multimodal input, 1M context, and MIT-licensed open weights. Covers the stealth launch, architecture, benchmarks vs. GLM-5.2 and Claude Opus 4.8, pricing, and deployment.

#zhipu#glm-5-3-flash#ox-alpha#multimodal#moe#hybrid-attention#mit-license
🔬 research2026-08-04T00:00:00.000Z

DeepSeek V4-Flash-0731 Official Release: Agentic Coding at 99% Lower Cost, MIT License, and the New Floor for AI Inference Pricing

DeepSeek officially released DeepSeek-V4-Flash-0731 on July 31, 2026 — a 284B/13B MoE model with substantially enhanced agentic capabilities, MIT-licensed weights, 1M-token context, and API pricing at $0.14/M input tokens (99% cheaper than Claude Opus 4.8). Covers the architecture (CSA+HCA hybrid attention, mHC connections, Muon optimizer), DSpark speculative decoding, benchmark results across 9 agentic coding tasks, Deep Code CLI, Responses API/Codex integration, and the strategic implications for the global AI price war.

#deepseek#v4-flash#agentic-coding#moe#open-weight#price-war#mit-license