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On 5 November 2026 OpenAI released ChatGPT Cyber, a model for cybersecurity work, limited to the top tier of its Daybreak Red programme. OpenAI says it scanned the Linux kernel and found flaws in Firefox.
On 26 October 2026 PFN released the weights of PLaMo 3 Translate, a 53-language translation model built on a base model from joint research with NICT, in four sizes from 0.8B to 31B and several quantised formats.
On 15 October 2026, IFM and Inception42 announced Jais 3, six Arabic-centric language models from 900 million to 375 billion parameters plus a speech recogniser, evaluated on 24 audited Arabic benchmarks.
On 15 October 2026 Meta released Muse Spark Open, an open-weight, natively multimodal model with 816 billion total parameters, optimised to run on Apple's Mac Studio. Its weights were published on Hugging Face.
Released on 28 September 2026, Claude Sonnet 5.5 is the second model of the Claude 5.5 family. It kept the price of Sonnet 5 and was the first Sonnet model to ship with cyber safeguards and anti-distillation classifiers.
Released on 22 September 2026, Claude Opus 5.5 is the first model of the Claude 5.5 family. Anthropic said it matched Claude Fable 5.1 on most work, at a lower price.
On 21 September 2026 xAI released Grok 4.7, with a larger base model and a longer reinforcement-learning run. Its Fast variant was limited to Cursor and Grok Build.
On 7 September 2026 iFlytek released Spark X2.5, a 293B-A30B mixture-of-experts model trained and served on domestic compute, focused on code and agent tasks, with open-source on-device models supporting up to 1 million tokens of context.
On 3 September 2026 the Institute of Foundation Models announced K2 Horizon, a fleet of six models released together, each shipped with its training data, recipe and evaluations, and steered by a router that picks the cheapest adequate model per task.
On 2 September 2026 Google released Gemini 3.8 Flash and Gemini 3.8 Flash Cyber, a security-focused variant limited to vetted defenders, three weeks after Gemini 3.7 Flash.
In September 2026 StepFun released Step 5 Preview as its new flagship foundation model. It is a sparse MoE with 600 billion total parameters, supports up to 1 million tokens of context, and is offered through the StepFun Open Platform API.
Zhipu released GLM-5.3 on 14 August 2026, a post-training upgrade built on the same base model as GLM-5.2, with large gains on coding and cybersecurity benchmarks; NIST's CAISI later called it the most advanced open-weight model in cybersecurity.
On 12 August 2026 xAI released Grok 4.6, a month after Grok 4.5, aimed at long-running agents. Pricing stayed the same, and the model launched across Cursor, Grok Build and the API.
Alibaba released Qwen3.8-Max, a 2.4-trillion-parameter model, as a cloud service on 3 August 2026, and published open weights for a variant of it on 12 August 2026.
On 24 July 2026 Anthropic released Claude Opus 5 at $5 and $25 per million tokens. Anthropic said it came close to Claude Fable 5's frontier intelligence at half the price.
On 16 July 2026 xAI released Grok 4.5, co-trained with Cursor, and made it the default model in Grok Build. xAI also published its coding benchmark results.
On 23 June 2026 ByteDance Seed announced Seed2.1 for Doubao and Volcano Engine users. It has Pro and Turbo models for productivity work and builds on Seed2.0.
On 2 June 2026 Mustafa Suleyman announced seven new in-house MAI models at Microsoft Build, led by the reasoning model MAI-Thinking-1. The group also included coding, image, transcription and voice models, and a healthcare collaboration with Mayo Clinic.
On 28 May 2026 Anthropic released Claude Opus 4.8, a modest improvement on Opus 4.7 at the same price. Fast mode became three times cheaper, and Claude Code gained dynamic workflows that run hundreds of parallel subagents.
Baidu released ERNIE 5.1 on 9 May 2026, a model derived from ERNIE 5.0's pre-training with about a third of its total parameters and much lower training cost, after a preview build topped Chinese models on LMArena.
On 28 April 2026 Poolside released Laguna M.1 and Laguna XS.2, its first two coding models, together with pool, the agent runtime its own reinforcement learning runs on, as a research preview.
