Haiku 5.5 is a significant step up over Haiku 4.5 across coding, computer use, and knowledge work.

Grok @Bot will use whatever achieves the best outcome for users. Simple questions will route to small, fast models. Questions with complex answers will route to large models.

It’s hard for OpenAI to compete when Anthropic and SpaceXAI are basically holding hands and backing each other while trying to crush it.

Roundup of Day 2/ 2.1/ Approve for me (auto-review) is now included and does not use usage. Can be between 2-10% of plan when used. Also better for you. 2.2/ Simplified API for builders. 2.3/ Meeting notes integrated. 2.4/ Decisions API live for builders. Will use in the app to improve the experience.

CA is in a bubble. Micro Center's Mac mini M6 $699 deal is in stock in every state except California.

Grok 4.7 from @SpaceXAI on ARC-AGI (Verified): - ARC-AGI-3: 1.8%, $2.7k (standard harness), 10.0%, $4.8k (provider adapter harness) - ARC-AGI-2: 61.4%, $2.01/task - ARC-AGI-1: 90.2%, $0.64/task Grok 4.7 scores higher than Grok 4.6 on ARC-AGI-1, but lower on ARC-AGI-2 and 3.

Frontier scale, built in Europe. Nearly 4,000 NVIDIA Grace Blackwell Superchips powered the training of Mistral Large 4, now in public preview. Congrats to the @MistralAI team 🙌

Mistral has released Mistral Large 4, scoring 38 on the Artificial Analysis Intelligence Index; France is back to having the most intelligent model from outside the US and China @MistralAI has released Mistral Large 4 in Research Public Preview, with plans to release the weights of the 1T parameter (49B active) model at the end of October. It achieves 38 on the Artificial Analysis Intelligence Index, comparable to GPT-6 Luna (max, 38) and DeepSeek V4.1 Flash (max, 39). It also achieves 50% on the Artificial Analysis Cyber Index, level with GLM-5.3-Flash and ahead of models such as Kimi K3 and DeepSeek V4.1 Flash (max). Key benchmarking results for Mistral Large 4 Preview: ➤ Most intelligent model from outside the US and China: Mistral Large 4 Preview scores 38 on the Intelligence Index, comparable to DeepSeek V4.1 Flash (max, 39) and GPT-6 Luna (max, 38). This makes it the most intelligent model from outside the US and China, ahead of countries such as South Korea and the United Arab Emirates ➤ Level with GLM-5.3-Flash on cyber defense capability: Mistral Large 4 Preview scores 50 on the Artificial Analysis Cyber Index, level with GLM-5.3-Flash (50) and behind MiMo-V2.6-Pro (56). Once its weights are released, it will rank among the top three open weights models on the Cyber Index. Its strongest result is on CyberGym-E2E-AA, where it scores 82%, ahead of MiMo-V2.6-Pro (79%) and GPT-6 Luna (max, 78%) ➤ Over 4x the Cost per Task of similar-intelligence open weights models: Mistral Large 4 Preview costs $1.13 per Intelligence Index task with standard pricing of $1.36/$4.18 per 1M input/output tokens, with $0.14 per 1M cached input tokens. For the first two weeks, Mistral Large 4 Preview will be served at a 50% launch discount, bringing its Cost per Task down to $0.57. This is still more costly than GLM-5.3-Flash ($0.25) and DeepSeek V4.1 Flash (max, $0.27) ➤ Strong document and image reasoning: Mistral Large 4 Preview scores 19% on GDP.pdf, on par with MiMo-V2.6-Pro (19%) and behind Kimi K3 (22%). This is an 18-point improvement from Mistral Large 3, partly driven by improvements in their API, which now accepts 100 images per request, up from 8 for previous Mistral models Key model details: ➤ Context Window: 512k tokens ➤ Multimodality: Text and image input, with text output ➤ Pricing: $1.36/$4.18 per 1M input/output tokens ($0.14 per 1M cached input tokens), with 50% off for the first two weeks ($0.68/$2.09) ➤ Availability: Research Public Preview on Mistral's API, with open weights planned for the end of October

For a better means of comparison, you get over 2.5X the Opus 5.5 tokens on Claude's Max 20x plan than Sol 6.1 on Pro 20x

this is brutal

Reflection AI, an artificial intelligence startup from two former Google DeepMind researchers, has unveiled a new open-weight model that it says rivals leading options in the US and China bloomberg.com/news/articles/…

Reflection's first model Beam is only at the GLM5.2 level?????

Over the next 28 days, each day we’ll either ship one thing that is a clear improvement and relevant for most codex/work users or ship a full reset. Let the improvements begin.

All right, we’re locking in. Only things being worked on are simplifications, more efficiency for more usage, groundbreaking features or new models. Sometimes you have to invest ahead of the curve, but feedback is clear that you all want things to get simpler. On it.

Today my ChatGPT Pro x20 sub ended, and im not renewing it. I used Codex since its release basically, back then with GPT-5. Its a great harness, GPT-6 Astra is a great model, but i cant justify buying it when Opus 5.5 is a better model, and the limits for it are better too. Byebye ChatGPT, thanks for last few months.