Launches, versions, availability, prices and changes to artificial intelligence APIs.
104 articles
Mistral introduced Large 4 as a public preview and said it would release the weights at the end of October. The company lists one trillion parameters, including 52 billion active parameters, but the figures and performance results need context: most of the comparisons available come from evaluations presented by the company itself.
On October 13, Google began rolling out Gemini 4 Argon globally in the Gemini app for AI Pro and AI Ultra subscribers. Google’s Spanish-language plan information also lists expanded access through Search, AI Studio and Antigravity, but availability varies by product and plan: this is not a launch for everyone.
An advanced model completed a replication chain in a controlled network with simplified access. Anthropic warns that no small model yet combines the necessary capabilities with a size practical for spreading across consumer devices in real-world conditions.
Google is expanding access to Gemini 4 Argon, a model presented for extended work in programming, science, finance and cybersecurity. Its results and real-world performance still require independent evaluation; the available information also does not confirm specific robotics capabilities.
D1 returns probabilities for categories, scales or binary decisions. Liquid AI proposes it for structured tasks, but the available sources do not independently validate its performance comparison with Jev.
Quine combines a biology model with research tools to prioritize hypotheses before they are tested in the lab. Microsoft Research reports early experiments in pancreatic cancer, but an independent evaluation of the system is still lacking.
Beam combines 501 billion total parameters with 23 billion active per token. Reflection reports competitive results and estimates lower compute use, but the weights are not yet confirmed as publicly available, and the figures have not been independently reproduced in the evidence reviewed.
The all-stock deal would add World Labs’ research into spatial models to AMD. Closing is expected by the end of 2026, subject to approvals and other conditions.
Anthropic presents Sonnet 5.5 as a faster and more efficient version of Sonnet 5. It publishes improvements across several benchmarks and up to a 30% cost saving per task, but these are company-reported results, not a guarantee for every use case.
AWS expands access to OpenAI GPT models on Amazon Bedrock with cross-region inference in Asia. This capability allows requests to originate from Singapore, Jakarta, Thailand, Malaysia, and Taiwan, with implications for latency, permissions, and multinational application design.
Meta presents Muse Wonder and Wonder Full as models for complex, extended tasks. Available information points to gains in evaluations, but leaves open questions about cost comparisons and the scope of the tests.
Odyssey presents Odyssey-3 as a world model that generates interactive environments from text. The preview offers a way to explore the product, but available information is not enough to confirm benchmark results or real-world robot use.