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DeepSeek released V4 in two versions: a 284 billion parameter Flash model and a 1.6 trillion parameter Pro model with 49 billion active parameters. According to DeepSeek, the models use 9.5x-13.7x less memory than V3 through compressed attention mechanisms and FP4/FP8 mixed precision, while supporting a 1 million token context window.

Meta announced Muse Spark today, its first model release since Llama 4 a year ago. The hosted model is available in private API preview and on meta.ai with Instant and Thinking modes, benchmarking competitively against Anthropic's Opus 4.6 and Google's Gemini 3.1 Pro, though behind on Terminal-Bench 2.0.

MLCommons published MLPerf Inference v6.0 results on April 1, 2026, with Nvidia, AMD, and Intel each claiming top spots in different configurations. Nvidia's 288-GPU GB300-NVL72 system achieved 2.49 million tokens per second on DeepSeek-R1, while AMD's MI355X crossed one million tokens per second for the first time. Direct comparisons remain difficult as each chipmaker targets different market segments and benchmarks.

Rakuten Group has released RakutenAI-3.0, a 671 billion parameter mixture-of-experts (MoE) model designed specifically for Japanese language tasks. The model activates 37 billion parameters per token and supports a 128K context window. It is available under the Apache License 2.0 on Hugging Face.

Researchers from ETH Zurich and Anthropic have demonstrated that pseudonymous internet users can be de-anonymized using commercially available AI models at a cost of just a few dollars per person. The attack works in minutes and calls fundamental assumptions about online anonymity into question.

Google announced Gemini 3.1 Pro, positioning the model for complex problem-solving tasks requiring deeper reasoning than previous versions. The release follows Gemini 3 Pro (November 2025) and Gemini 3 Flash (December 2025).