{"id":2111446,"date":"2026-10-10T18:21:20","date_gmt":"2026-10-10T16:21:20","guid":{"rendered":"https:\/\/www.luxsure.fr\/?p=2111446"},"modified":"2026-10-10T20:57:56","modified_gmt":"2026-10-10T18:57:56","slug":"gpt-6-1-sol-price-of-reused-context","status":"publish","type":"post","link":"https:\/\/www.luxsure.fr\/en\/2026\/10\/10\/gpt-6-1-sol-price-of-reused-context\/","title":{"rendered":"GPT-6.1 Sol: what the price of reused context changes"},"content":{"rendered":"\n

OpenAI lists cache reads at $0.10 per million tokens. This rate is of interest for recurring tasks, subject to checking their actual quality.<\/strong><\/p>\n\n\n\n

A reference file can be re-read with every new request sent to a model. In GPT-6.1 Sol’s pricing, OpenAI charges cached inputs at $0.10 per million tokens, against $2 for standard inputs. Output costs $10 per million. Standard input and output prices are one fifth of those of GPT-6 Astra; this ratio does not guarantee a total bill divided by five.<\/p>\n\n\n\n

The launch page presents the model as an evolution of GPT-6 Sol, available in Work, Codex and the API. It reports progress on several professional-work evaluations, while specifying that tests in a research environment or via the API may differ from production use. This reservation accompanies the performance comparisons.<\/p>\n\n\n\n

Keeping context worth keeping<\/h2>\n\n\n\n

For an editorial team or a collection direction, reuse could concern an approved corpus of references. One still has to know which version of the guidelines, catalogue or brief remains relevant. A cheaper reading of an outdated instruction creates no useful saving.<\/p>\n\n\n\n

Evaluation should therefore combine two checks: the quality of the answers and the validity of the reused context. A file corrected after each error would show whether the improvement carries over to subsequent work. Human corrections, follow-ups and review time would enter into the full cost.<\/p>\n\n\n\n

The cache price provides a precise purchasing parameter. The decision to entrust more work to it depends on another kind of proof: the ability to retain the right references without propagating old errors. This proof must be produced on the team’s own documents and requirements.<\/p>\n\n\n\n

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OpenAI lists cache reads at $0.10 per million tokens. This rate is of interest for recurring tasks, subject to checking their actual quality.<\/p>\n","protected":false},"author":214,"featured_media":2109576,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[77972],"tags":[77969,30184],"class_list":["post-2111446","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-luxury-and-ai","tag-artificial-intelligence","tag-luxury-en"],"_links":{"self":[{"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/posts\/2111446","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/users\/214"}],"replies":[{"embeddable":true,"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/comments?post=2111446"}],"version-history":[{"count":0,"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/posts\/2111446\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/media\/2109576"}],"wp:attachment":[{"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/media?parent=2111446"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/categories?post=2111446"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.luxsure.fr\/en\/wp-json\/wp\/v2\/tags?post=2111446"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}