OpenAI launches ChatGPT Images 2 with 2K resolution and two-mode generation
OpenAI has released ChatGPT Images 2, an upgraded image generation model that produces images up to 2K resolution in multiple aspect ratios. The model ships with two versions—Instant and Thinking—and can research current web information before generating images.
OpenAI launches ChatGPT Images 2 with 2K resolution and two-mode generation
OpenAI has released ChatGPT Images 2, an upgraded image generation model that produces images up to 2K resolution in multiple aspect ratios. The model is available now to ChatGPT users.
Key specifications
ChatGPT Images 2 generates images up to 2K resolution, a significant upgrade from previous versions. The model supports multiple aspect ratios and ships with two distinct modes:
- Instant: Fast image generation
- Thinking: Reasoning-based generation mode
Pricing details have not been disclosed.
Capabilities
According to OpenAI, ChatGPT Images 2 can create complete magazine layouts, addressing a key use case for professional design work. The model includes improved text generation within images, which has been a persistent weakness in earlier image generation systems.
The model can access current web information before generating images, allowing it to incorporate up-to-date context into outputs.
Enterprise coding updates
Alongside the image model release, OpenAI announced Codex Labs, an enterprise-focused program for its Codex coding assistant. The program brings OpenAI experts into organizations through workshops and working sessions to help teams integrate Codex into existing workflows.
OpenAI describes Codex's enterprise capabilities: "Teams are using Codex to pull together context from different tools, reason through what matters, and turn scattered information into useful work—like briefs, plans, checklists, drafts, and follow-ups—and then take action."
The announcement follows recent Codex updates including agentic computer use based on OpenAI's Sky Software acquisition, an in-app browser, and built-in image generation.
What this means
The dual-mode architecture (Instant and Thinking) suggests OpenAI is applying reasoning approaches to image generation, similar to patterns seen in text models like o1. The 2K resolution and professional layout capabilities position ChatGPT Images 2 as a tool for production design work, not just casual image generation. The enterprise push with Codex Labs indicates OpenAI is prioritizing B2B revenue streams beyond its consumer ChatGPT product.
Related Articles
Robot Safety Benchmark Finds GPT-6 Astra and Claude Fable 5.1 Rarely Refuse Dangerous Commands
A new benchmark called RoboHarm tested whether AI models controlling robotic arms would refuse dangerous commands. GPT-6 Astra completed 60 of 100 dangerous tasks and Claude Fable 5.1 completed 34, with neither model showing a reliable safety layer.
Xiaomi Releases MiMo-V2.6-Pro-RL, a 1.02T-Parameter Omnimodal Model with 1M-Token Context
Xiaomi's MiMo team has released MiMo-V2.6-Pro-RL, a 1.02-trillion-parameter sparse mixture-of-experts model with 42B active parameters, 1M-token context, and native text/image/video/audio processing. The model was trained via a single mixed reinforcement learning run spanning coding, agentic, visual, and cybersecurity tasks, with benchmark scores that Xiaomi claims approach or match Claude Opus 5 and GPT-5.6 on several agentic and coding tests.
Xiaomi Releases MiMo-V2.6-Flash-RL, a 309B-Parameter MoE Model with 1M-Token Context and Native Omnimodal Support
Xiaomi's MiMo team released MiMo-V2.6-Flash-RL, an efficiency-tier checkpoint in the MiMo-V2.6 series featuring a 309B-parameter (15B active) Mixture-of-Experts architecture, 1M-token context, and native support for text, image, video, and audio. The model uses a single mixed reinforcement learning run across coding, agentic, visual, and cybersecurity tasks rather than domain-specific training.
TypeSafe AI Launches Jev, a 'Decision Model' That Outputs Only Numbers, Priced at $0.042/M Input Tokens
TypeSafe AI has released Jev, the first model in a new category it calls 'System One models'—text goes in, floating-point decisions come out. At $0.042 per million input tokens with free output, it undercuts even GPT-5 Nano on price.
Comments
Loading...