Google ends Pro model access for Gemini AI Plus on November 13, leaving the $4.99 tier with Flash only

Google and Meta each unveiled a new frontier model within a span of days, and both companies claim the models can compete with the best from OpenAI and Anthropic. Independent benchmarks, pricing and technical specifications were not available in the source reporting.

Microsoft Research has published Probabilistic Bias Correction (PBC) in Nature and released it as open-source software. The researchers report it improved a leading ECMWF physics-based model for 98% of precipitation targets and 92% of temperature targets at 2–6 week lead times, and that it runs on CPUs.

Ai2 released HiRO-ACEv2, an AI climate emulator that it says generates global 3 km data at about 1/300th the cost of the physics-based X-SHiELD model. The new HiROv2 downscaling model predicts multiple fields at once and, per Ai2, matches X-SHiELD statistics to within 3% even for one-in-a-million events.

Artemis Security has launched Orion-1, a model that investigates and responds to corporate network attacks, in private preview. The company claims it beats Claude Opus 5.5 and GPT-6 Sol on its own Decision-Grade Readiness benchmark, with the largest gap in attack reconstruction (80.8 vs 58.3). Pricing, context window and parameter count have not been disclosed.

Fish Audio has released Drama 3, a text-to-speech model with 35B total parameters and 3B active per token, built for multi-character, long-form audio. It supports up to 16 speakers per text, voice cloning, and streaming. Fish Audio reports first audio in under 100 ms on a single H200.

Unbiased has released Pareto 26.9, a multimodal composite model with a 262K-token context window, priced at $2.50 per 1M input tokens and $7.50 per 1M output tokens. It is listed on OpenRouter with a Oct 13, 2026 release date. A cheaper 1.0M-context preview, Pareto 26.10, is already listed alongside it.

Google DeepMind began a broad rollout of Gemini 4 Argon on Oct 13, 2026 and published details of its safety stack. The company claims the model solved all 12 end-to-end simulated cyberattack scenarios, up from five in the prior generation, and cut shortcut attempts on coding benchmarks to 2%.

Liquid AI released LFM2.5-24B-A2B, an open-weight reasoning mixture-of-experts model with 24B total and 2B active parameters and a 131K-token context window. The company claims it is competitive with Qwen3.6-35B-A3B on agentic and tool-use tasks while decoding at 184 tokens/s on an Apple M5 Max.

Google has integrated Antigravity, its agent-first development platform, directly into the Gemini app for macOS as part of the Gemini 4 Argon rollout. Access requires an AI Ultra subscription, while the new model itself requires AI Pro or above. The update also renames and reorganizes several app features, including Gemini Spark, Skills and Connectors.

Google DeepMind says Gemini 4 Argon scores 87% on the Embodied Reasoning (ERQA) benchmark using pure reasoning, ahead of every other frontier model. A new robotics post demonstrates robot control, Real2Sim reconstruction, physical understanding, and self-improvement workflows. Pricing, context window, and availability were not disclosed.

Google DeepMind has released Gemini 4 Argon, its latest frontier model, globally via the API at an introductory $2 per 1M input tokens and $10 per 1M output tokens. Google claims it ranks #1 on the Vals Index. Context window, parameter count and training cutoff were not disclosed in the announcement.

Google is extending Gemini 4 Argon from AI Ultra to AI Pro subscribers in the Gemini app and AI Mode. The Gemini API costs $2 per 1M input tokens and $10 per 1M output tokens until November 30, 2026, then doubles to $4 and $20.