3 ms·

Note that they have not actually dropped the price yet: https://x.com/OpenAIDevs/status/1932463601119637532 https://x.com/OpenAIDevs/status/1932463601119637532

Note that they have not actually dropped the price yet: https://x.com/OpenAIDevs/status/1932463601119637532 https://x.com/OpenAIDevs/status/1932463601119637532 > We’ll post to @openaidevs once the new pricing is in full effect. In $10… 9… 8… There is also speculation that they are only dropping the input price, not the output price (which includes the reasoning tokens).

sunaookami 1y ago
I think that was a joke. New pricing is already in place: Input: $2.00 / 1M tokens Cached input: $0.50 / 1M tokens Output: $8.00 / 1M tokens https://openai.com/api/pricing/ https://openai.com/api/pricing/ Now cheaper than gpt-4o and same price as gpt-4.1 (!).
- rvnx 1y ago
  It is slower though
- MallocVoidstar 1y ago
  No, people had tested it after Altman's announcement and had confirmed that they were still being billed at the original price. And I checked the docs ~1h after and they still showed the original price. The speculation of only input pricing being lowered was because yesterday they gave out vouchers for 1M free input tokens while output tokens were still billed.
- runako 1y ago
  > Now cheaper than gpt-4o and same price as gpt-4.1 (!). This is where the naming choices get confusing. "Should" o3 cost more or less than GPT-4.1? Which is more capable? A generation 3 of tech intuitively feels less advanced than a 4.1 of a (similar) tech.
  - jacob019 1y ago
    Do we know parameter counts? The reasoning models have typically been cheaper per token, but use more tokens. Latency is annoying. I'll keep using gpt-4.1 for day-to-day.
  - koakuma-chan 1y ago
    o3 is a reasoning model, GPT-4.1 is not. They are orthogonal.
    - runako 1y ago
      My quibble is with naming choices and differentiating. Even here they are confusing: - o4 is reasoning - 4o is not They simply do not do a good job of differentiating. Unless you work directly in the field, it is likely not obvious what is the difference between "our most powerful reasoning model" and "our flagship model for complex tasks." "Does my complex task need reasoning or not?" seems to be how one would choose. (What type of task is complex but does not require any reasoning?) This seems less than ideal!
      - koakuma-chan 1y ago
        This is true, and I believe apps automatically route requests to appropriate models for normie users.
- agsqwe 1y ago
  thinking models produce a lot of internal output tokens making them more expensive than non-reasoning models for similar prompt and visible output lengths
- vitaflo 1y ago
  Still 4x more expensive than Deepseek R1 tho.

sunaookami 1y ago

I think that was a joke. New pricing is already in place: Input: $2.00 / 1M tokens Cached input: $0.50 / 1M tokens Output: $8.00 / 1M tokens https://openai.com/api/pricing/ https://openai.com/api/pricing/ Now cheaper than gpt-4o and same price as gpt-4.1 (!).

rvnx 1y ago
It is slower though
MallocVoidstar 1y ago
No, people had tested it after Altman's announcement and had confirmed that they were still being billed at the original price. And I checked the docs ~1h after and they still showed the original price. The speculation of only input pricing being lowered was because yesterday they gave out vouchers for 1M free input tokens while output tokens were still billed.
runako 1y ago
> Now cheaper than gpt-4o and same price as gpt-4.1 (!). This is where the naming choices get confusing. "Should" o3 cost more or less than GPT-4.1? Which is more capable? A generation 3 of tech intuitively feels less advanced than a 4.1 of a (similar) tech.
- jacob019 1y ago
  Do we know parameter counts? The reasoning models have typically been cheaper per token, but use more tokens. Latency is annoying. I'll keep using gpt-4.1 for day-to-day.
- koakuma-chan 1y ago
  o3 is a reasoning model, GPT-4.1 is not. They are orthogonal.
  - runako 1y ago
    My quibble is with naming choices and differentiating. Even here they are confusing: - o4 is reasoning - 4o is not They simply do not do a good job of differentiating. Unless you work directly in the field, it is likely not obvious what is the difference between "our most powerful reasoning model" and "our flagship model for complex tasks." "Does my complex task need reasoning or not?" seems to be how one would choose. (What type of task is complex but does not require any reasoning?) This seems less than ideal!
    - koakuma-chan 1y ago
      This is true, and I believe apps automatically route requests to appropriate models for normie users.
agsqwe 1y ago
thinking models produce a lot of internal output tokens making them more expensive than non-reasoning models for similar prompt and visible output lengths
vitaflo 1y ago
Still 4x more expensive than Deepseek R1 tho.