2026-07-29

Every AI model price, context and end-of-life change detected on 2026-07-29.

ChangeModelDetail
PRICE CHANGEz-ai/glm-5.2output -4.8% · cache read -4.8% · input -4.8%
PRICE CHANGEqwen/qwen3-coder-nextoutput -11.1% · cache read +94.4% · input -33.3%
PRICE CHANGEz-ai/glm-5.2output -1.9% · cache read -1.9% · input -1.9%
FROM THE SOURCESam Altman @samachatgpt work is remarkable, and "work" undersells it. from my phone i sent: "use all my chat history to figure out ideas for a long weekend trip with 8 friends, plan the best three options, make a full-stack site where the 9 of us can coord
FROM THE SOURCEElon Musk @elonmuskGrok Voice is now #1 in agentic performance https://t.co/1MxiX1MPn1
FROM THE SOURCEDario Amodei @DarioAmodeiIn addition to transparency, I now believe frontier models should face mandatory third-party testing for cyber, bio, and autonomy risks—with the power to block or revoke deployment of models that pose catastrophic risk.
FROM THE SOURCETibo @thsottiauxTurns out GPT-5.6 Sol is actually SoTA on ARC-AGI-3. Just took two setting changes. You just have to allow it to reason and work over multiple context windows with the help of our canonical compaction implementation. https://t.co/36rofGztdS
FROM THE SOURCETibo @thsottiauxEfficiency! In two steps a) Train fantastic model b) Use fantastic model to make everything better, including its own infrastructure, inference stack, kernels, etc, etc https://t.co/kGtmX3LAow https://t.co/qrfNtdkYYA
FROM THE SOURCEOpenAI @OpenAIThese optimizations across our stack compound to unlock the most performant models at every point in the cost-intelligence curve. https://t.co/tcv8oo0z7G
FROM THE SOURCEOpenAI @OpenAIAfter deployment, we applied GPT-5.6 Sol to advance the frontier of efficiency by making itself more efficient to run. The results: - 20% lower serving costs from production GPU kernel improvements. - 15%+ better token-generation efficiency
FROM THE SOURCEOpenAI @OpenAIParticipants will receive access to our frontier models, including our GPT-5.6 family of models. Each workspace includes business-grade privacy and security protections. Researcher data is not used to train our models by default, and partic
FROM THE SOURCEOpenAI @OpenAIWe’re giving scientists, mathematicians, and engineers free access to our frontier models—starting with 10,000 researchers and expanding to 100,000 through 2027. ChatGPT for Academic Researchers is built to accelerate discovery across disci
FROM THE SOURCEAnthropic @AnthropicAIWe also worked with academics at ETH Zurich, Tel Aviv University, and the University of Haifa to build CryptanalysisBench, a benchmark for studying LLMs’ cryptanalysis abilities. https://t.co/OEYhGjH5Lj
FROM THE SOURCEAnthropic @AnthropicAIFull technical details of both attacks are provided in our new papers: On HAWK: https://t.co/JtLzetLOtU On AES: https://t.co/7pozPjc4o8 And the associated model chain-of-thought for AES: https://t.co/Cg1tfTJhvi
FROM THE SOURCEAnthropic @AnthropicAIStill, both results show that frontier AI models are capable of doing expert-level cryptography research. This has important defensive applications—testing the algorithms that keep our online activity secure, and ultimately helping to make
FROM THE SOURCEGoogle AI Developers @googleaidevsWe wanted to see how Gemini 3.5 Flash-Lite handles massive, repetitive visual tasks. This demo runs the model across 1M+ catalog images, extracting raw features into clean, structured data with the low latency and token efficiency required
FROM THE SOURCEGoogle AI Developers @googleaidevs👾Watch a multi-agent system built with Gemini 3.6 Flash iterate on playable game design in real time. It uses Gemini 3.5 Flash-Lite to design, construct, and verify puzzle challenges based on live player actions balancing speed and reasonin
PARAMETERS CHANGEDmistralai/ministral-8b-2512removed logprobs, repetition_penalty, top_logprobs
PARAMETERS CHANGEDqwen/qwen3-30b-a3bremoved logprobs, structured_outputs, top_logprobs
PARAMETERS CHANGEDqwen/qwen3-30b-a3b-instruct-2507removed min_p

Next 2026-07-30