overlast Well, this is cool. This is a great step up in the minimum for speech recognition, text-to-speech, and voice chat services. It wonāt be long before we will be able to do this in any language and voice quality we want, and even outside of OpenAI. At the same time, expectations for humans will also increase. In the future, humans will be required to be very flexible.
ImAI_Eruel OpenAI, Googleās Gemini, first surprised the world with a demo video, but āit ended up being a fake combination of various thingsā. Googleās Gemini first surprised the world with a demo video, but āit ended up being a fake combination of various thingsā and became a hot topic.
ImAI_Eruel However, I think that Google will come to this rather soon (I think Google will win in the video-related market since YouTube, a major source of data, is under its umbrella). I believe that Google will win in the video-related market since it is under the umbrella of YouTube, the main source of data).
LiamFedus GPT-4o is our new state-of-the-art frontier model. Weāve been testing a version on the LMSys arena as im-also-a-good-gpt2-chatbot . Hereās how itās been doing. GPT-4o is our new state-of-the-art frontier model, and we are testing a version as im-also-a-good-gpt2-chatbot in the LMSys arena. Hereās a look at how itās doing.
hiro_gamo We all tried so hard to catch up with GPT-4, but itās too ruthless. And at half the price and twice the speed. As I mentioned before, OpenAI is one company whose evolution is discontinuousā¦
nishio OpenAIās launch of a desktop app is a strategic move to compete with Googleās vast repository of āvideos taken by people to show to othersā on YouTube. They aim to gather data from āscreens people watch while workingā every day, gaining an edge in the data war. The launch of OpenAIās desktop app is a strategic move to compete with Googleās vast repository of āvideos for others to seeā on YouTube. They aim to gain an edge in the data wars by collecting data from the āscreens people see at workā every day.
Sonnet
- Input: $3 / MTok
- Output: $15 / MTok Opus
- Input: $15 / MTok
- Output: $75 / MTok gpt-4o
- Input: $5 / 1M tokens
- Output: $15 / 1M tokens Gemini 1.5 Pro
- Input: $7 / 1M tokens
- Output: $21 / / 1M tokens
gpt-4-turbo
- $10.00 / 1M tokens
- $30.00 / 1M tokens gpt-4
- $30.00 / 1M tokens
- $60.00 / 1M tokens gpt-4-32k
- $60.00 / 1M tokens
- $120.00 / 1M tokens
Even though Claudeās context is 200K context, which is longer than GPTās 128K context, itās still 3x cheaper than Opus, and when you get a 1.3x buff with the Japanese tokenizerā¦
GPT-4o
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87K token
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