---
id: "claim-next-gen-expensive"
type: "claim"
source_timestamps: ["00:00:00", "00:13:38"]
tags: ["pricing", "industry-trends"]
related: ["concept-token-burning", "entity-claude-mythos", "entity-nvidia-gb300"]
speakers: ["Nate B. Jones"]
confidence: "high"
testable: true
sources: ["s45-claude-limit-chatgpt-habit"]
sourceVaultSlug: "s45-claude-limit-chatgpt-habit"
originDay: 45
---
# Next-Generation Models Will Be Significantly More Expensive

## Claim
The impending release of next-generation frontier models — specifically [[entity-claude-mythos-d45]], the next ChatGPT, and the next Gemini — will come with a **massive** increase in pricing.

## Reasoning
- These models are trained and served on much more expensive hardware, notably the [[entity-nvidia-gb300]] series (Blackwell Ultra), reportedly ~$70K per unit.
- The compute cost to train and run them is materially higher than today's frontier.
- Nate speculates pricing could jump from today's roughly **$5 / $25 per million** (input/output) to **$50 / $250 per million** — a 10x hike.

## Why It Matters
If pricing scales 10x, then today's sloppy token habits become **financially unsustainable** — see [[concept-token-burning]] and [[quote-mistakes-scale]] ("your mistakes scale with the price of intelligence"). This is the urgency behind the entire video.

## Validation Status (from enrichment overlay)
- **Partially supported but speculative.** No public evidence for 'Claude Mythos' as an official Anthropic product or for specific $50/$250 pricing.
- Real-world frontier pricing as of the overlay's snapshot remained in the $3–15 / $15–75 range — **incremental** rather than 10x.
- Nvidia GB300 Blackwell Ultra is real and expensive, and inference costs for frontier models do appear to be rising 2–4x — directionally consistent, magnitude unconfirmed.

## Confidence
**High** that next-gen frontier pricing will rise. **Lower** on the specific 10x magnitude. Testable: simply observe official pricing announcements — see [[question-mythos-pricing]].

## Linked Quote
[[quote-mistakes-scale]]