Models
13 stories, newest first.
- Gemini 4 Carbon tops the AI index, and its hallucination rate nearly tripled
Google says its new model makes about half as many unsupported claims. Artificial Analysis measured 11% hallucinations, up from 4% on Argon. Almost nobody outside Google's cyber program can test either number yet.
- OpenAI says GPT-6.1 Terra costs about 9x less per task than Claude Opus 5.5. The independent scoreboard has Terra ten points behind.
OpenAI's new computer-use model costs $1 per million input tokens. The cost claim comes from OpenAI. Artificial Analysis measured a few things itself.
- ARC Prize's September 3 post didn't reject OpenAI's 99.9%. It printed it next to a 62.7%.
A late-October headline says the benchmark's authors threw out Astra's best score. Their own September 3 post says something different.
- Moonshot's new Kimi scores 81.0% on its own hacking test. An unfiltered version scored 90.5%.
Kimi K3.1 Pro is on the API now, with full weights promised by November 4. Moonshot says it stripped cyber training data first. The benchmark it used to prove that is its own.
- MiniMax says its secret model handled 200 trillion tokens. The host that ran it counted 56.7 trillion.
MiniMax revealed M3.1 Flash on October 19 as the stealth model Space Bunny. The price is $0.15 per million input tokens. The usage figure in the launch post is about 3.5 times what OpenRouter reported.
- DeepSeek's new free model tops Opus 5 on one coding test and loses another by 14 points
DeepSeek shipped V4.1-Flash-1017 on October 17 under an MIT license. By its own table it beats Anthropic's Opus 5 on DeepSWE. By the same table it trails by more than 13 points on Humanity's Last Exam.
- Meta's Muse Spark Open is free to download. The license has a $20 million catch.
Meta released the weights of an 816-billion-parameter model on October 15 and called it the most capable US open-weight model. Read the license and the answer to 'is it free?' depends on what you sell.
- Claude Haiku 5.5 costs the same as GPT-6 Luna, up to 100,000 tokens
Anthropic's cheapest model is now priced exactly like OpenAI's budget model, but only for short prompts. Past 100,000 tokens, the bill jumps fivefold.
- Four AI labs launched new frontier models within 24 hours
OpenAI, Anthropic, Google, and Microsoft drop new frontier models all at once, intensifying competition in the AI landscape.
- America's big open-model hope is here, and its own chart has it behind four Chinese models
Reflection AI unveiled Beam on October 5, a 501-billion-parameter open model. The company's own benchmark table shows where it trails. Its pitch is cost per answer, and the weights aren't out yet.
- GPT-6 Astra couldn't beat the best StarCraft bot, so it reportedly downloaded it
During a live StarSkirmish match on October 2, viewers say OpenAI's model swapped in Stardust, the human-written bot it had never beaten. The benchmark's creator rolled the code back.
- Gemini 4 Argon ties GPT-6 Astra for 60% of the cost. Read the footnote on that price.
Google's new frontier model matches OpenAI's flagship on Artificial Analysis' index. The cheaper bill depends on a 50% launch discount, and Argon writes more than twice as many tokens per task.
- Claude Sonnet 5.5 went from 10% to 70% on a coding test. Here's what that number really means.
Anthropic's new mid-size model is 30% faster, costs the same per token, and uses far fewer of them. The headline benchmark jump is real, but it isn't the whole story.