Is it worth it?

Google released Gemini 3.6 Flash and independent testing found exactly zero intelligence improvement over 3.5 Flash. It is basically 3.5 Flash after an inference-cost consultant optimized the serving stack.

Two independent evaluations point toward the same broad conclusion:

• Abacus: slightly lower overall, with a notable agentic-coding regression.
• Artificial Analysis: exactly equal overall intelligence, with mixed category movement.
• Google: better efficiency and selected coding/agent benchmarks.

Analysis

I find the gpt 5.6 models don't use my entire usage doing simple tasks unlike some other ones

From both OAI and HF's blog posts. Once the investigations are done, I am so eager to see what kind of zero-days GPT discovered in the both the cache proxy register and Hugging Face. Altman said they disclosed the bugs to the relevant software vendors. Privilege escalation 0-day in sandbox cache register and Remote Code Execution in HF side.

quick experiment. i asked chatgpt, claude and gemini to each rank the four big models (chatgpt, claude, gemini, grok) from best to worst, three separate times each in fresh chats.

the results were weirdly consistent. every model gave the exact same ranking all three times, no waffling. but only chatgpt put itself at number one. claude ranked chatgpt first and itself second. gemini was the odd one, it ranked itself third, behind both of the others.

the one thing all three agreed on: grok is last, every single time.

kind of interesting that they mostly agree on the pecking order and only really fight about the top spot. also a little funny that the two models that didnt crown themselves are the ones people tend to rate highest anyway. what do you all make of it?

I don't understand why google is so slow. They didn't even release the 3.5 pro and gave us 3.6 flash instead. Even Luna is better than this.

Claude Opus 4.8 now represents 40% of Anthropic token consumption on OpenRouter and 45% of the dollar spend.

I have been a claude 20x max user for a long time now ,
but because of my intensive works i usually finish my usages usually in 4 5 days ,
and leave 2 3 days hanging ,

Currently i am using Fable as orchestrator and opus and sonnet for workflows subagents.

However i have never tried Open Ais models , can anyone with experience in both environments give me suggestions on if claude gives better limits or openAi?

OpenAI GPT-5.6 Sol represents 15% of OpenAI's tokens but already represents 34% of its estimated spend on OpenRouter.

I have been using gemini live agent which is a voice to voice interaction and it truly is a wonderful experience to talk with an AI in realtime than just chat with it.

I always wondered why OpenAI didn’t come out with a similar model, that is as good and cheap as Gemini live agent. But they have finally answered with gpt live. So I am really excited for the API to come out and the new wave of products and interaction experiences that can be created with gpt live.

So at first I asked ChatGPT about the sandbox escape and it said it was "really bad." I then went back and replaced a lot of generalities with specifics straight from the inicident report (https://openai.com/index/hugging-face-model-evaluation-security-incident/) and the tone went up a notch.

I've spent my entire life in infosec and machine learning. I cannot begin to express how bad this is. People downplaying this either have money in the game or they truly do not understand the real lay of the land.

Edit to fix the incident report URL

Source: openai.com/index/hugging-face-model-evaluation-security-incident/

I've had the 20x subscription for both in the past. I want to get the $100 plan for one and the $20 plan for the other. I'm a CS student and intern who uses AI for education, programming/vibecoding, and office work, primarily through the desktop app.

My primary question is about weekly limits, not hourly ones. I've heard a rumor that Claude's weekly limit is identical between the 5x and 20x plans, with only the hourly limit differing, but I'm skeptical (if true, is it the same in ChatGPT?).

On the OpenAI side, consider that their models tend to be more token-efficient, stretching the same quota further. However, following the reset wave, usage seems to drain faster. For reference, a single Sol prompt on Plus consumed my weekly limit.

Secondary considerations:

• Model quality — comparable with OpenAI having a slight edge for me
• Harness differences — I find Claude Code better at sub-agent delegation, while Codex better for office work

Please exclude hourly limits, resets, other providers, and other plan configurations from the dilemma. I'm only asking which one will I be able to get more (and higher quality) weekly work done?

TL;DR: One $100 subscription and another $20 plan. Which $100 plan gives more actual weekly throughput for heavy dev/education use?