Model releases

GPT-6.1 Sol replaced GPT-6 Sol 7 days after launch. Its intelligence index is 1 point below GPT-6 Astra, and pricing stays at $2 per million input tokens and $10 per million output tokens. The cached-read discount rises from 90% to 95%.

OpenAI released GPT-6.1 Sol, upgrading agentic coding and computer use to near Astra performance. Cached input is priced at a 95% discount to standard input. The model targets complex refactors, deep codebase investigations and long-running agents that work across apps.

At DevDay, OpenAI released GPT-6.1 Sol, saying it approaches GPT-6 Astra's intelligence on agentic coding, computer use and professional work, while standard input and output token prices are one-fifth of Astra's.

OpenAI released GPT-6.1 Sol, saying it approaches the flagship GPT-6.1 Astra on agentic coding, computer use and office tasks, at about one-fifth the cost. Astra was not released as planned over safety concerns.

OpenAI released GPT-6.1 Sol, positioned as near-Astra-level intelligence for coding, computer use and professional work. Standard API input and output tokens cost one-fifth of Astra's price.

Google DeepMind released Gemini 3.8 Live with Live Avatar, adding near-real-time video generation to its native real-time conversation model. The result is a dynamic visual avatar with lip sync, natural expressions and smooth turn-taking.

Google DeepMind released SL2T, a multilingual sign language-to-text model, bringing sign language AI into consumer products for the first time. On Pixel 11, Gboard and Live Transcribe support American Sign Language (ASL) to English dictation, with more devices and languages to follow.

Google DeepMind released three new models: Gemini 3.6 Flash, 3.5 Flash-Lite, and the security-focused 3.5 Flash Cyber.

Google DeepMind released Gemini 3.5 Flash Cyber, fine-tuned from 3.5 Flash to find, verify and patch vulnerabilities quickly. With multiple calls, it approaches larger models on benchmarks such as CyberGym.

Anthropic released Claude Fable 5, a safety-treated Mythos-class model; in high-risk cyber, biochemistry, and distillation domains, it automatically falls back to Opus 4.8, with one trigger per 20 conversations on average.

Cohere released North Mini Code, a 30B-parameter MoE coding model with 3B active parameters, under Apache 2.0; it supports 64K/128K context lengths and reaches 80.2% pass@10 on SWE-Bench Verified.

Google DeepMind released Gemini 3.5 Live Translate, an audio model for near-real-time speech-to-speech translation across more than 70 languages. It detects the language automatically and preserves the speaker's intonation, rhythm and pitch.

Google DeepMind released Gemma 4 12B, a multimodal model with a unified encoder-free architecture, native audio input, Apache 2.0 licensing, and local laptop runtime with 16GB of VRAM or unified memory.

Amap released ABot-Earth0.5, a 3D-native city world model covering more than 190 countries and regions, generating kilometer-scale 3D cities from satellite images or text within 10 minutes on consumer GPUs.

Cohere employee Nick Frosst opened early testing of BLS-Mini-Code-1.0 to LocalLLaMA, with weights on Hugging Face before public launch. The coding model has 30B total parameters and 3B active parameters, and Cohere says token output tests are in line with similar models in its size class.

OpenCV 5 introduces a graph-based DNN engine, raising ONNX operator coverage from under 23% in 4.x to over 80%, with native support for Transformer, VLM, and LLM workloads.

Google AI announced six updates: Nano Banana 2 is generally available, Gemma 4 12B can run fully offline on laptops, and Magenta RealTime 2 is open source.

Google AI for Developers released the open-weight Magenta RealTime 2 music model, supporting MIDI, live text prompts, and gestures, with native MacBook latency under 200 ms.

Ideogram released Ideogram 4.0, an open-source text-to-image model with a 9.3B-parameter core, a single-stream DiT architecture, Qwen3-VL-8B-Instruct text encoder, and a No. 4 ranking in DesignArena human evaluation.

Miso One released an 8B-parameter open-weight TTS model with one-shot voice cloning from a short sample, 110ms inference latency, GitHub self-hosting without an API, and local audio data handling; the post says API access is coming but does not disclose pricing or launch timing.