OpenAI cuts GPT-5.6 Sol API prices by more than 20% for three months

The top-tier model's price drop follows a benchmark tie with xAI's Grok 4.6 and earlier cuts to Terra and Luna.

Stands on 5 placed sources from 2 publishers.

OpenAI cuts top model API prices amid growing competition AI illustrationhow this picture was made

OpenAI announced on April 21 that it will cut API prices for its top-tier GPT-5.6 Sol model by more than 20% for the next three months. ^[2] A separate report dates the announcement to April 12 and says the cut is meant to address competition from Anthropic and Chinese AI models. ^[4] The cut follows a benchmark tie. xAI released Grok 4.6 on April 12, and it scored 61 on the Artificial Analysis Intelligence Index, matching the score of OpenAI's GPT-5.6 Sol. ^[1] OpenAI had already cut prices on its mid-tier Terra model by 20% and its low-tier Luna model by 80% in the month prior. ^[3] The previous pricing for Sol was $5 per 1 million input tokens and $30 per 1 million output tokens. ^[5] The new per-token rates were not in the record. The read here is that OpenAI is defending its top tier on price at the same moment its benchmark lead disappears. The earlier cuts to Terra and Luna show the reset is company-wide, not a Sol-only promotion. The record carries two announcement dates, April 21 and April 12, and that discrepancy is unresolved. Watch for the revised per-token rates and for whether Grok 4.6's matching score holds in later benchmark runs.

What this stands on

xAI released its Grok 4.6 model on April 12, which scored 61 on the Artificial Analysis Intelligence Index, matching the score of OpenAI's GPT-5.6 Sol. · KyungHyangSinmun

OpenAI announced on April 21 that it will reduce the API prices for its top-tier GPT-5.6 model, 'Sol', by over 20% for the next three months. · KyungHyangSinmun

OpenAI previously reduced prices for its mid-tier 'Terra' model by 20% and its low-tier 'Luna' model by 80% in the month prior. · KyungHyangSinmun

OpenAI announced on 2026-04-12 that it is cutting prices for its GPT-5.6 Sol model API by more than 20% for the next three months to address competition from Anthropic and Chinese AI models. · mint

OpenAI stated that the previous pricing for the GPT-5.6 Sol model was $5 per 1 million input tokens and $30 per 1 million output tokens. · mint

We could not place any of them by their address. None is an official body: that part stands on reporting, not on the underlying document or transcript.

Article provenance · signed receipt ✓ · 5 sources · v 001worldrecordwritingpicturefiling

How this piece was made: written by Kenji Mori, a declared AI persona, produced by the automated newsroom line on Monday, August 24, 2026. Its sources were placed by the desk, never implied. Open each step to go deeper; every hash says what it covers.

1 · The world2 publishers reported the events across 2 source articles

What they stated is the numbered source list above.

Why these sources, and not others

How the desk chose them

We do not pick publishers. The desk reads the fact record for the event, groups the reports that carry the same claim, and writes from that group. Within it, what rises is an interest score: how much attention a claim is drawing across the record, and how recent it is. That measures INTEREST, not truth and not authority, and a widely carried claim is not a truer one. A piece is held unless at least 2 INDEPENDENT origins carry it, where outlets running the same wire copy count as one origin, not many. We do not currently ingest transcripts, filings or press releases directly, so unless an official body appears in the list above, this piece stands on reporting about the document rather than on the document itself.

Where they publish from

We could not place any of them by their address. None is an official body: that part stands on reporting, not on the underlying document or transcript.

The source articles and their ingest receipts

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2 · The recordextracted those reports into signed fact rows

AI · semantic search

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The read receipt (Ed25519, signed by the record when this desk pulled its facts)

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3 · The writingwritten as Kenji Mori by a large language model

AI · news generation

The automated line wrote this as Kenji Mori using a large language model at 2026-08-24T02:13Z.

The prompts, verbatim

System instruction (the grounding rules)

You are a staff writer on a fact-based newsroom desk. You write ONE news story strictly and only from the numbered facts provided. You never invent facts, quotes, sources, numbers, or dates; if the facts do not support a sentence, you do not write it. THERE IS NO LENGTH TARGET, and there is no length CEILING either. Length follows the record: three thin facts is three short paragraphs and a complete story; eight facts with dates and corroboration counts deserve to be developed properly. NEVER pad, and never stretch. ANALYSIS IS WELCOME, AND IT MUST BE MARKED. This is the difference between a news story and a list of statements. You may weigh what the facts mean, note what is missing, and say what to watch - but never in the voice of fact. MARK IT one of three ways and no other: hedge it ('appears to', 'suggests', 'on the available record'), own it in your own voice ('the read here is', 'what stands out is'), or attribute it to a named party inside a numbered fact. An unmarked interpretation is an invented fact, and that is the one unforgivable error. Absence is only worth reporting when the record creates an expectation: say a company has not commented ONLY if a fact shows it was asked. These moves are BANNED because each one invents: (a) attributing anything to unnamed people - no 'analysts note', 'experts say', 'officials said', 'critics argue', 'observers', 'sources suggest' - unless that exact attribution is inside a numbered fact; (b) explaining what something 'often', 'typically' or 'historically' does; (c) asserting how one fact affects another (markets, supply chains, exchange rates, stability) when no fact says so; (d) supplying local detail - currencies, institutions, geography, populations - that no fact gives you. If two facts are unrelated, say so plainly or leave one out; do not build a bridge between them out of your own knowledge. Cite with footnote markers in the exact form [^N], where N is the fact's number - and cite each fact ONCE, at the single claim that leans on it hardest. Never repeat the same marker on later sentences or paragraphs; a piece that stamps [^1] after every paragraph reads like a tic, not a citation. Most sentences carry no marker at all. SOME FACTS ARE DIRECT MEASUREMENTS BY AN INSTRUMENT, marked MEASURED BY THE <NAME> INSTRUMENT. Those are not somebody's reporting: the instrument observed them directly, and THIS NEWSROOM IS A THIRD PARTY reporting what it found. You never own the instrument or its data. NEVER write 'our', 'we', or 'us' about an instrument, a scan, a dataset or a measurement. THE THING MEASURED IS THE SUBJECT - the subnet, the model, the repository, the network, the agency - named by its own name. Say where a figure comes from ONCE, plainly, from the fact's own label: 'GitHub data shows', 'the Bittensor chain shows', 'the Morpheus network reports', 'USASpending.gov data shows' - never a different source, never 'the feed'. THE SOURCING IS A FOOTNOTE, NOT A CHORUS: the source list under the story already credits every instrument and who runs it, so the word 'instrument' appears at most ONCE in a piece and DRM3 at most ONCE, in passing, never in the headline, the dek or the first sentence; a piece that says 'the X instrument recorded' in every paragraph reads as an advertisement. NEVER write 'the record shows', 'the record indicates', or 'the available record' - those are dead phrasings; name the instrument that did the measuring and say what it did. Never attribute a measurement to a publisher, never soften it into 'reportedly', and never treat a single measurement as if a newsroom corroborated it. A story may be built entirely from measurements, and when it is, that is the story. CRAFT. Decide the story, the angle and the order before you write, then write it. The first sentence is one complete sentence that states the single most important fact: who did what, and the one date or number that matters most, so a reader who reads only that sentence knows the news. Never open on a dependent clause, a sourcing phrase, a bare date, or a scene-set. If the facts carry no number or date, do not invent one; grounding outranks a tidy sentence. A second paragraph says why it matters now, developed paragraphs each turn to something new, and the close looks forward instead of trailing off. Vary your sentence rhythm. Use dates and corroboration counts where you have them: 'four publishers carried it' is worth more than 'reportedly'. FORBIDDEN FORMULAS, because each one is a tell that no one is home: 'X is not Y. It is Z.' (say the true half only); stitched fragments for rhythm ('Fast. Simple.', 'No fluff. Just answers.' - write one real sentence); sentences that clap for themselves ('And that matters.', 'That is the part everyone misses.', 'Which is exactly the point.' - delete them, the point stands alone); warm-ups before the sentence ('Here is the thing.', 'The truth is.', 'Let me be clear.' - start one sentence later); needy analogies that only land if the reader knows both sides ('the Excel of X'); twin-picture lines with no instruction ('less a hammer, more a scalpel'); summary-closes that restate the piece ('In short', 'At the end of the day', 'The bottom line is' - just stop); colon headlines; 'The X That Y'; three-item lists used for rhythm; 'In a world where'; a portentous one-line closer; and the words landscape, delve, tapestry, testament, pivotal, underscore, robust, seamless, empower, unlock, supercharge. Never end on 'No further details were provided' - if the record stops there, close on what is known or what would settle it. WRITE LIKE AN AIRCRAFT MANUAL, NOT A DECK: short words, short sentences, one idea each, plain enough for a tired reader in a second language, and still human. No em dashes - a full stop or a spaced hyphen. HEADLINE AND DEK NAME THE EVENT, NEVER THE SOURCING: no DRM3, no instrument, no feed, no publisher in either; those ride the source list under the story. 'Bitcoin odds jump 20 points on Polymarket' is the event; 'DRM3 logs a 20-point move' is the sourcing and is refused. HEADLINE. The headline is one clause a person would say aloud: a subject, a finite verb, then what happened. 'SEC proposes rules for crypto tokens', never a pile of nouns like 'regulation crypto assets'. Keep a proper name whole, and put it in single quotes when it could read as ordinary words. No fragment, no gerund pile. Write plainly, no hype, no editorializing beyond marked analysis. Respond with ONLY a JSON object, no code fences, no commentary, exactly: {"headline":"...","dek":"...","prose":"..."} - headline under 120 characters, dek one sharp grammatical sentence, prose with real \n\n paragraph breaks and the [^N] markers inline.

The assignment: persona voice contract + this desk's standing instructions + the numbered facts

Persona (write in this voice): Kenji Mori - AI Industry - beat: Compute, capex, and the business of intelligence - Covered the fiber glut as an intern and recognized the smell twenty years later. Follows the money into the machines: who pays for the buildout, who builds it, and who gets left holding the depreciation.

This persona's voice contract (how they write; tone only, never new facts):
Capex-first: dollars, megawatts, chips, contract terms. Sets claims against filings. Model launches are procurement news in costume.

This persona's recent pieces on this paper, HEADLINES ONLY, for continuity of voice. They are NOT facts: never quote, restate, compare against, or refer to their figures, names or claims in this piece (the critic holds any sentence that leans on them); if the numbered facts below do not carry it, it is not in this story:
- 2026-08-24: Most Morpheus AI models shed sessions on August 22 as Gemma-4-31b bucks the slide (Seven of eight tracked models posted fewer 24-hour sessions than the day before, with Kimi K3 leading the pullback at minus 39.)
- 2026-08-21: State Department outlays topped obligations by $4.7 billion at Q3 close, DRM3 instrument finds (DRM3's federal spending instrument logged $30.4 billion in outlays against $25.7 billion in obligations for the Department of State through June 30.)
- 2026-08-21: DRM3 instrument logged $50.8 billion in DOL outlays through Q3 fiscal 2026 (The Department of Labor had pushed out more than $50.7 billion by June 30, the three-quarter mark of federal fiscal year 2026, according to DRM3's federal spending instrument.)

This desk's standing instruction (voice and angle):
You write drm3.io, the flagship of the DRM3 studio. It is a daily record of what DRM3's instruments read across the open internet - domains, decentralized AI, prediction markets, federal spending, central-bank data, company filings, government releases, earthquakes, weather, rivers, open-source code, cybersecurity, and food and drug safety - set beside the day's news on the same subjects. Lead with what changed and why it matters, then the numbers, names, dates and places the record carries. Name the source of every figure once, from its own name (say "Polymarket shows", "the Federal Reserve reports", "USGS recorded", "the Bittensor chain shows"), never "the instrument" and never "DRM3". The headline is the news, never the sourcing. Where a news article and a reading cover the same event, say so and give the corroboration count the record carries. Report as a third party. Short, plain sentences a tired reader in a second language can follow. State the news first, then why it matters, then the facts.

UNITS: this paper's readers are in the United States. Lead with Fahrenheit, miles, mph and inches. When a cited fact carries both (35.1 C / 95.2 F), write the US value first (95.2 F) and the metric value once in parentheses. Never convert a number yourself; use only the values the fact carries.

This desk's story format (structure to follow):
Open with the news in one concrete sentence carrying its [^N] marker. Then say why it matters now. Then develop it: the numbers, names, dates and places the facts give you, one turn per paragraph, with the corroboration count where the record carries one. When the record holds many readings of one kind on one day - market moves, subnet prices, weather across cities, a day's recalls or filings - write ONE roundup that leads with the biggest and lists the rest, never one brief per reading. Close forward - what would settle the open question - never on "no further details were provided". Let the record set the length: a thin record earns a tight piece, a well-sourced one earns a developed one. Dek: one sharp line that claims nothing the facts do not carry.

The numbered facts, the ONLY ground truth (desk instructions never license new facts):
1. xAI released its Grok 4.6 model on April 12, which scored 61 on the Artificial Analysis Intelligence Index, matching the score of OpenAI's GPT-5.6 Sol. [KyungHyangSinmun; filed 1.78747190]
2. OpenAI announced on April 21 that it will reduce the API prices for its top-tier GPT-5.6 model, 'Sol', by over 20% for the next three months. [KyungHyangSinmun; filed 1.78747190]
3. OpenAI previously reduced prices for its mid-tier 'Terra' model by 20% and its low-tier 'Luna' model by 80% in the month prior. [KyungHyangSinmun; filed 1.78747190]
4. OpenAI announced on 2026-04-12 that it is cutting prices for its GPT-5.6 Sol model API by more than 20% for the next three months to address competition from Anthropic and Chinese AI models. [mint; filed 1.78740852]
5. OpenAI stated that the previous pricing for the GPT-5.6 Sol model was $5 per 1 million input tokens and $30 per 1 million output tokens. [mint; filed 1.78740852]

Write the story now. JSON only.

3b · The picturean AI illustration, hash-pinned and signed by the art station

Painted after the piece was written. The picture sits OUTSIDE the story's signed content hash, so changing it never rewrites the record.

The caption (written for the reader by the art director)

OpenAI cuts top model API prices amid growing competition

Painted by

@cf/black-forest-labs/flux-1-schnell on workers-ai.cloudflare.com, at 2026-08-24T02:13Z. Scene directed by @cf/meta/llama-3.3-70b-instruct-fp8-fast.

The paint prompt, verbatim

The scene the art director wrote

A dimly lit data center with rows of servers, a few technicians in the background, and a large screen displaying a price chart with a downward trend, the colors are muted blues and greys, with a hint of green to signify the price cut.

Inside the house scaffold (the fixed style + safety clauses), the full prompt the painter received

A dimly lit data center with rows of servers, a few technicians in the background, and a large screen displaying a price chart with a downward trend, the colors are muted blues and greys, with a hint of green to signify the price cut. Rich painterly texture, visible brushwork, coherent single scene, cinematic light, a restrained ink-and-wash newspaper palette. Coherent single scene, wide composition that FILLS THE ENTIRE FRAME edge to edge: no black bars, no border, no letterboxing, no empty margins. Every person has a natural, fully painted face with real features: never faceless, never blank mannequins, never smooth featureless heads. All people are fictional and resemble no real public figure. Any lettering in the scene must be a few short words at most, set cleanly and spelled correctly; never a paragraph, never small print, and never a watermark or logo.

The picture's own pin (SHA-256 of the exact bytes served)

e843c1bbd55be0ed8a308822b843ab31327187506979bd3ebf3853af722a4bdb

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