The Hidden Cost of Output Token Pricing for Llama 3.3 70B
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Frequently Asked Questions Why Do Output Tokens Cost More Than Input Tokens? Input tokens are processed in a single parallelized forward pass during prefill; the GPU evaluates the entire context simultaneously. Output tokens are generated one at a time through autoregressive decoding, each requiring a full sequential forward pass.
- ▪Frequently Asked Questions Why Do Output Tokens Cost More Than Input Tokens?
- ▪Input tokens are processed in a single parallelized forward pass during prefill; the GPU evaluates the entire context simultaneously.
- ▪Output tokens are generated one at a time through autoregressive decoding, each requiring a full sequential forward pass.
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Record
| Original publisher | DigitalOcean Community Tutorials |
| Canonical URL | https://www.digitalocean.com/community/tutorials/hidden-cost-output-token-pricing |
| Publication time | 2026-07-23T00:00:00.000Z |
| Retrieval time | 2026-07-26T10:01:46.693Z |
| Last seen | 2026-07-26T10:01:46.693Z |
| 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 | Wr0IOuFPJLAg · 2 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
Frequently Asked Questions Why Do Output Tokens Cost More Than Input Tokens? Input tokens are processed in a single parallelized forward pass during prefill; the GPU evaluates the entire context simultaneously. Output tokens are generated one at a time through autoregressive decoding, each requiring a full sequential forward pass. GPU utilization per generated token is far lower than during prefill, and DigitalOcean prices that gap into its rates. This is why output carries a 2.2x to 5.4x premium on most models in DigitalOcean’s catalogue, with flat-rate Llama 3.3 70B the exception.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at DigitalOcean Community Tutorials.
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