AI companies are now racing to the bottom — crashing token prices and competitive models push companies to cut costs
When you purchase through links on our site, we may earn an affiliate commission. OpenAI did so most recently, cutting the price of its base frontier model, ChatGPT 5.6 Luna, by 80% per million tokens, and its mid-range 5.6 Terra by 20%. This comes just over a week after Google introduced its more-affordable Gemini 3.6 Flash and 3.5 Flash-Lite models.
- ▪When you purchase through links on our site, we may earn an affiliate commission.
- ▪OpenAI did so most recently, cutting the price of its base frontier model, ChatGPT 5.6 Luna, by 80% per million tokens, and its mid-range 5.6 Terra by 20%.
- ▪This comes just over a week after Google introduced its more-affordable Gemini 3.6 Flash and 3.5 Flash-Lite models.
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Story provenance
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Record
| Original publisher | Tom's Hardware |
| Canonical URL | https://www.tomshardware.com/tech-industry/artificial-intelligence/ai-companies-are-now-racing-to-the-bottom-crashing-token-prices-and-competitive-models-push-companies-to-cut-costs |
| Publication time | Mon, 03 Aug 2026 16:26:15 +0000 |
| Retrieval time | 2026-08-03T16:30:42.977Z |
| Last seen | 2026-08-03T16:30:42.977Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | NZyCOJGAbdzv · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Tech Industry Artificial Intelligence AI companies are now racing to the bottom — crashing token prices and competitive models push companies to cut costs MEMBER EXCLUSIVE News-analysis By Jon Martindale Published 3 August 2026 For the rest of us, there's now significant AI intelligence to be found in more affordable models. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. (Image credit: Malte Mueller via Getty Images) Share Copy link Facebook X Whatsapp Reddit Pinterest Flipboard Email Share this article Join the conversation Follow us Add us as a preferred source on Google Newsletter Subscribe to our newsletter We've entered a new phase of the AI industry's development, with all the major players heavily cutting costs and boosting…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Tom's Hardware.
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