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Opera Launches WebAI Standard for Browser-Based Local Inference; Mirendil Releases Fern 0.1 with 10M-Token Context

Opera introduces WebAI standard for local AI deployment in browsers; Mirendil releases Fern 0.1 model pretrained with 10M-token context window for agentic AI work.

1 min read 3 sources

Opera has introduced WebAI, a new web standard designed to enable users to deploy AI models locally within their browser (TechCrunch). The standard is built to work with a variety of AI models and shifts inference execution to client hardware rather than remote servers.

Mirendil released Fern 0.1, its first model, pretrained from scratch with a 10M-token context window and targeting agentic AI research and development work (MarkTechPost). The model achieves 100 percent on RULER single-needle evaluation at 10M tokens but trails frontier models on agentic coding benchmarks. OpenAI released GPT-6.1 Terra, a mid-range vision and computer-use model priced at $1 per million input tokens and $5 per million output tokens, reducing costs by half compared to its predecessor while matching GPT-6 Astra performance on medium-effort agent tasks at significantly lower per-task cost (The Decoder).

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