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Thanks for the link. That's unfortunate, though perhaps the benchmarks will be updated after this latest Gemini release. Cursor with Sonnet is great, I'll have to give Aider a try as well.
It is updated actually, gemini-1.5-pro-002 is this new model.
This price drop is significant. For For comparison, GPT-4o is currently $5/million input and $15/million output and Claude 3.5 Sonnet is $3/million input and $15/million output. Gemini 1.5 Pro was already the cheapest of the frontier models and now it's even cheaper.
[1] https://ai.google.dev/pricing
[2] https://cloud.google.com/vertex-ai/generative-ai/pricing
Has anyone used Gemini Code Assist? I'm curious how it compares with Github Copilot and Cursor.
I have used Github Copilot extensively within VS Code for several months. The autocomplete - fast and often surprisingly accurate - is very useful. My only complaint is when writing comments, I find the completions distracting to my thought process. I tried Gemini Code Assist and it was so bad by comparison that I turned it off within literally minutes. Too slow and inaccurate. I also tried Codestral via the Continue…
Has anyone used Gemini Code Assist? I'm curious how it compares with Github Copilot and Cursor.
Its just not as smart as ChatGPT or LLAMA, its mind boggling Google fell so far behind.
Has it changed much since March when this was written? Gemini won, 6-4. And it matches my experiences of just using Gemini instead of ChatGPT because it gives me more useful responses, when I feel like I want an AI answer. https://www.tomsguide.com/ai/google-gemini-vs-openai-chatgpt
The free version of ChatGPT is 4o now, isn't it? So maybe Gemini has not gotten worse, but the free alternatives are now better? When I compare ChatGPT-4o with Gemini-Advanced (wich is 1.5 Pro, I believe) the latter is just so much worse.
This price drop is significant. For For comparison, GPT-4o is currently $5/million input and $15/million output and Claude 3.5 Sonnet is $3/million input and $15/million output. Gemini 1.5 Pro was already the cheapest of the frontier models and now it's even cheaper.
whats confusing they have different pricing for output. Here [1] it's $5/million output (starting 1st october) and on vertex AI [2] it's $2.5/1 million (starting 7 october) - but characters - so it's overall gonna be more expensive if you wanna compare to equivalent 1 million tokens. It's actually even more confusing to know what kind of characters they mean? 1 byte? UTF-8? [1] https://ai.google.dev/pricing [2] https…
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Moat could be things like direct integration into Gmail (ask it to find your last 5 receipts from Amazon), Drive (chat with PDF), Slides (create images / flow charts), etc. Not sure if their models are the moat. But they definitely have an opportunity from the productization perspective. But so does Microsoft.
Have you tried the Gemini Gmail integration? I have that enabled in my GSuite account. It's incredible how bad it is. I've seen it claim I've never received mail from a certain person, while the email was open right next to the chat widget. I've seen it tell me to use the standard search tool, when that wasn't suitable for the query. I've literally never had it find anything that wouldn't have been easier to find wit…
I agree. Right now it's not very useful, but has the potential to be if they keep investing in it. Maybe.
I think Google, Microsoft, etc are all pressured to release something for fear of appearing to be behind the curve.
Apple is clearly taking the opposite approach re: speed to market.
This price drop is significant. For For comparison, GPT-4o is currently $5/million input and $15/million output and Claude 3.5 Sonnet is $3/million input and $15/million output. Gemini 1.5 Pro was already the cheapest of the frontier models and now it's even cheaper.
Google is the only one of the three that has its own data centers and custom inference hardware (TPU).
Looks like they are more focused on the economical aspect of those large models? Like 90~95% performance of other frontier models at 50%~70% price.
They are going for large corporate customers. They are a brand name with deep pockets and a pretty risk-adverse model. So even if Gemini sucks, they'll still win over execs being pushed to make a decision.
Google should just offer llama3 405b, maybe slightly fine tuned. Geminis are unusable.