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Pricing for Mythos Preview is $25/$125, so cheaper than GPT 4.5 ($75/$150) and GPT 5.4 Pro ($30/$180)
by Ryan5453 6mo ago
Pricing for Mythos Preview is $25/$125, so cheaper than GPT 4.5 ($75/$150) and GPT 5.4 Pro ($30/$180)
- cassianoleal 6mo agoWhere did you get that from? From TFA: > We do not plan to make Claude Mythos Preview generally available
- Tiberium 6mo agoFrom the article: > Anthropic’s commitment of $100M in model usage credits to Project Glasswing and additional participants will cover substantial usage throughout this research preview. Afterward, Claude Mythos Preview will be available to participants at $25/$125 per million input/output tokens (participants can access the model on the Claude API, Amazon Bedrock, Google Cloud’s Vertex AI, and Microsoft Foundry).
- underdeserver 6mo agoKey point: available to participants.
- conradkay 6mo agopermanent underclass has arrived :(
- philipwhiuk 6mo agogive it a couple months
- conradkay 6mo agoFor comparison, 5x the cost of Opus 4.6, and 1.67x for Opus 4.1 I think this would be very heavily used if they released it, completely unlike GPT 4.5
- adi_kurian 6mo agoOpus 4 & 4.1 are still on Vertex+Bedrock @ $75/1mm out. They were used very heavily and in my subjective opinion are better than 4.5 and 4.6.
- breakingcups 6mo agoInteresting, what makes them better to you?
- adi_kurian 6mo agoOpus 4, with enough context, could do most all I wanted in a single shot. More often than not, when I had a bad outcome and was frustrated I would realize that I was the problem (in giving improper direction or missing key context). I also was in a pretty sweet position having a boat load of credits and premo vertex rate limits so I could 'afford' to dump hundreds of thousands of tokens in context all day. With Opus 4.5 and 4.6, I find I have to steer very actively. This is comparing using Opus 4 directly rather than comparing the performance of the models in Claude Code for example, or any 'agentic' setup. Kinda reminds me of 4o vs 4-turbo. I would imagine they are smaller models.