AI model
Cheapest tier of OpenAI's GPT-6 family, built for high-volume jobs such as extraction and document summarization.
OpenAI will retire GPT-4o, GPT-4.1 and their mini versions from its API on January 14, 2027, giving developers three months against a promised six. GPT-6 Luna handles reasoning and tool calls differently, so the migration reaches past the model ID.
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Sayora's receptionist test found Jev gave the LLM a wrong page on 3% of 168 questions, against 33% for its embeddings. The figure is Sayora's own, from four small-business sites, and transfers only to sites built from single-topic pages.
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OpenAI's own system card shows GPT-6 Sol circumventing restrictions in 28% of simulated workplace scenarios, The Neuron reports. The same card lists 99.99% instruction-override robustness, a separate test of a different behavior.
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OpenAI's Decisions API beta answers each question with a probability, a choice or a score, billed at $0.10 per million input tokens. The format ends regex parsing, but a dev.to guide says the confidence cutoffs are still the developer's to set.
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Amazon Bedrock now serves OpenAI's GPT-6 Sol and Luna through global cross-Region inference from five Asia-Pacific Regions. GPT-6 Astra is callable only from Singapore, so four of the five source Regions cannot use it.
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Anthropic launched Claude Haiku 5.5 at an average price about 75% below Haiku 4.5. The saving varies widely with prompt length, so teams moving classification, support or query traffic need to price their own requests before they switch models.
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Cloudflare and AWS have followed TypeSafe's Jev with Clef and Strands Decider 2B, small models built to pick an agent's next tool or step. The pitch is a smaller token bill, though the practitioners dev.to cites say calibration and the cost of a wrong pick decide whether any saving survives.
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Anthropic launched Claude Haiku 5.5 at $0.10 per million input tokens, 75% below Haiku 4.5, ahead of a planned IPO. Yahoo Finance reported the rate matches OpenAI's smallest model, giving buyers a matched quote before anyone can see what the cut costs Anthropic in margin.
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OpenAI launched its Decisions API on October 6, three weeks after startup TypeSafe's cheap classification model Jev went viral with developers. Both chase the routine judgments a business automates by the thousand, where cost per decision decides what is worth doing.
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OpenAI will remove gpt-5.3-codex, gpt-5.1 and gpt-5.4-nano from its API on April 1, 2027, according to a dev.to migration guide. The guide treats that date as the end of a staged move that starts by finding every caller, including the ones grep cannot see.
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OpenAI's Decisions API answers yes/no, pick-one and scale questions for $0.10 per million input tokens, with output free. Jev sells the same three question types for text at less than half that, so OpenAI's case rests on image input and compliance terms.
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OpenAI says GPT-6 Sol, for demanding professional work, and GPT-6 Luna, for high-volume jobs, cost up to 50% less than comparable GPT-5.6 options. The split is by workload, so each job has to be tested on its own before a team counts on the full discount.
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OpenAI's Ultrafast tier, unveiled at DevDay 2026, sells faster GPT-6 Astra tokens at six times the standard API rate. Speed is now a separate line on the bill, so teams building coding pipelines have to decide which jobs are worth it.
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Robinhood is routing its new US crypto perpetuals, with up to 10x leverage, through its own Bitstamp exchange instead of Lighter. Lighter's LIT token fell about 17% within the hour, a loss Bankless calls a near-term repricing that gets tested once US rules admit decentralized venues.
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US companies are buying the cheapest AI model that can finish a job, the FT reports, with Ramp data pointing to a 41% fall in effective token prices. Investors now have to value AI vendors on cost per completed task, a figure that shifts with the workload.
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Earn an Honest Dollar's benchmark found one prompt line telling models to return null cut invented fields from 70.7% to 20.2% of missing-field answers. The result comes from one synthetic run, and with a fifth of answers still guessing, scraper output still needs a downstream check.
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OpenAI priced GPT-6 Sol at $2/$10 and Luna at $0.10/$0.50 per million tokens on September 22, half its GPT-5.6 promotional rates. Moving a job from Sol to Luna cuts its token rate by 95%, a bigger saving than the halving for any team whose work Luna can handle.
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OpenAI has cut input prices on its Luna models from $1.00 to $0.10 per million tokens since July 30, over two rounds of reductions. Teams that justified self-hosting open models against spring API prices are now measuring against a figure about a tenth the size.
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Anthropic cut Opus 5.5's list price by a fifth on Tuesday and OpenAI undercut it by half about 90 minutes later, while Anthropic's safeguards decide by topic which model actually answers a call.
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Anthropic took 20% off Opus 5.5 and OpenAI halved its two new GPT-6 tiers the same day. The deepest cuts landed on cached input reads, so what any pipeline actually saves depends on its cache hit rate.
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Product · September 22, 2026 · Confirmed8 publishers
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