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Sol's 27-cent benchmark task undercuts Opus 5 by more than eleven times

Anthropic and OpenAI shipped cheaper model tiers minutes apart on Tuesday. OpenAI halved Sol's posted token prices, and the only per-task cost comparison between the two labs so far comes from OpenAI itself.

The Investor · Invest desk

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Illustration accompanying Sol's 27-cent benchmark task undercuts Opus 5 by more than eleven times
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What happened

  • Anthropic launched Claude Opus 5.5 on Tuesday, saying it performs at the level of its Fable 5.1 flagship while costing around 40% less to run than Opus 5, which shipped in July.
  • OpenAI put out GPT-6 Sol and GPT-6 Luna minutes later the same day, two cheaper tiers sitting below its GPT-6 Astra flagship.
  • Both are the first releases since Dario Amodei's mid-September blog post laying out a plan to pace the frontier, which Sam Altman backed in an X post.
  • CNBC reports both labs are under pressure from cheaper open-weight models from Chinese firms including Alibaba, Moonshot AI and DeepSeek.

Why it matters

  • What it costs cost An inference line still sized on the rates in force last quarter is over-funded, and finance teams only capture the difference by re-baselining before the 2027 plan locks.
  • Who has to decide decision Buyers have to pick which unit governs the contract: the price per million tokens that both labs publish, or a cost per task that so far only OpenAI has published.
  • What it sets up precedent Anthropic put the safeguard tier it had reserved for Fable 5.1 onto a cheaper model. That sets the expectation that mid-tier releases arrive with frontier-grade testing attached.

Luna's two legs fell by different proportions. The input price halved, the output price came down 58%, and a job that reads a million tokens and writes a million now bills 60 cents where it billed $1.40 [21][22]. Sol's cut is the clean one: $2 per million input tokens and $10 per million output, against $4 and $20 before [4]. That is exactly half on each leg. The same token volume costs half what a plan written on the older rates assumed [23].

Per-token prices are comparable across vendors, but the per-task comparisons on the record come from OpenAI. AutomationBench is Zapier's test of whether an agent can carry a business workflow through 47 tools across sales, marketing, operations, support, finance and HR. On it, GPT-6 Sol at its highest reasoning setting passed 33.2% for $0.27 a task [25]. Claude Opus 5 at its own top setting passed 26.9% and cost more than 11 times as much per task, by OpenAI's numbers [26]. Eleven times 27 cents is $2.97, which works out at about 11 cents for each point of pass rate against Sol's 0.8 cents [28].

Anthropic counts its saving in tokens consumed, not in the price of a token [8]. Dianne Penn, head of product management, research and labs at Anthropic, told CNBC: "One of the things we're continuing to innovate on is how to make that thinking, how to make the answering more efficient, so it uses less tokens depending on your effort setting" [9]. The company said it is "passing these efficiency savings on to our customers in the form of price cuts and rate limit increases" [10]. Fortune, setting the two announcements side by side, found OpenAI cheaper per tier [16].

Randall Hunt, CTO at the AI consulting company Caylent, told Fortune that "CFOs have seen some of the sticker shock, and they haven't seen some of the gains that were promised in the initial investments." He added: "So they're coming back to their planning for 2027 and beyond, and saying, 'How can we optimize our costs here?'" [19] Caylent's method is to time how long employees take to finish tasks with AI tools and then compute a cost per task. OpenAI encouraged that approach in a blog post in mid-July 2026 [20].

OpenAI's 50% is measured against a promotion it is currently running on GPT-5.6, so the comparison is to a discounted rate [2]. Reasoning effort is an adjustable setting too: turn it up and the model spends more time and computing power double-checking itself, and accuracy and cost rise together [24]. A cheaper token at a higher effort setting can still produce a bigger invoice. "OpenAI and Anthropic are engaged in a price war that is driving down the price of AI," Ara Kharazian, lead economist at Ramp, told Fortune, "and therefore driving down their ability to profit from it and grow the price of models" [12]. On the bull case, he said: "AI bulls assume that there will be highly performant models that provide more and more value, and therefore they should be more expensive," and that "that is not how normal technology makes it to market" [13].

Neither release is a major step up in capabilities [27], and OpenAI credits its reductions to "improvements in caching and inference" [11]. In my view posted prices per token keep falling from here while total spend per customer rises, because the effort setting is where the volume goes. Anthropic says Sonnet 5.5 and Haiku 5.5 are expected over the coming weeks [15]; if either arrives at a higher posted price than the model it replaces, that view is wrong.

What to watch

  • An independent per-task benchmark of Sol against Opus 5.5, since the AutomationBench cost comparison now on the record was published by OpenAI.
  • What happens to Sol and Luna pricing when the GPT-5.6 promotion the 50% cut is measured against ends.
  • OpenAI's gradual rollout: both models are live in ChatGPT Work and Codex but not yet in the plain ChatGPT app.

Information, not investment advice. This story is general information about companies and markets, drawn from cited reporting. It is not a recommendation to buy, sell or hold any security; check the cited sources before acting.

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Reality

Evidence62
Adoption25
Hype gap+25
Incentives70
Confidence60

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  1. [1]

    Anthropic debuted Claude Opus 5.5, which it says performs at the level of its flagship Fable 5.1 model but costs around 40% less to run than Opus 5, which came out in July.

    Reported SupportedView cited source
  2. [2]

    OpenAI released GPT-6 Sol and GPT-6 Luna, offshoots of its flagship GPT-6 Astra model, and cut the API cost by 50% compared with the pricing on a promotion it is currently running for GPT-5.6.

    Reported SupportedView cited source
  3. [3]

    OpenAI released GPT-6 Sol and GPT-6 Luna on Tuesday, minutes after Anthropic launched Claude Opus 5.5.

    Reported SupportedView cited source
  4. [4]

    GPT-6 Sol costs $2 per million input tokens and $10 per million output tokens, down from $4 and $20.

    Reported SupportedView cited source
  5. [5]

    GPT-6 Luna drops to $0.10 per million input tokens and $0.50 per million output tokens, down from $0.20 and $1.20.

    Reported SupportedView cited source
  6. [6]

    The releases are the first since Anthropic CEO Dario Amodei published a blog post in mid-September laying out a plan to "pace the frontier," which OpenAI CEO Sam Altman supported in an X post.

    Reported SupportedView cited source
  7. [7]

    Opus 5.5 underwent Anthropic's most rigorous alignment testing to date, was evaluated by outside groups, and launches with the same tier of cybersecurity, biology and frontier-AI-development safeguards previously reserved for Fable 5.1.

    Reported SupportedView cited source
  8. [8]

    CNBC described Claude Opus 5.5 as a more token-efficient version that will cost around 40% less to run than Anthropic's Opus 5.

    Reported SupportedView cited source
  9. [9]

    "One of the things we're continuing to innovate on is how to make that thinking, how to make the answering more efficient, so it uses less tokens depending on your effort setting," Dianne Penn, head of product management, research and labs at Anthropic, told CNBC in an interview.

    Reported Supported Source: Dianne Penn, Anthropic, to CNBCView cited source
  10. [10]

    Anthropic said the model is its most efficient, and it is "passing these efficiency savings on to our customers in the form of price cuts and rate limit increases."

    Reported SupportedView cited source
  11. [11]

    OpenAI attributes the cost reductions to "improvements in caching and inference" and says it is "passing those savings directly onto users and customers."

    Reported SupportedView cited source
  12. [12]

    "OpenAI and Anthropic are engaged in a price war that is driving down the price of AI and therefore driving down their ability to profit from it and grow the price of models," Ara Kharazian, lead economist at Ramp, told Fortune.

    Reported Supported Source: Ara Kharazian, Ramp, to FortuneView cited source
  13. [13]

    "AI bulls assume that there will be highly performant models that provide more and more value, and therefore they should be more expensive," Kharazian said. "But that is not how normal technology makes it to market."

    Reported Supported Source: Ara Kharazian, Ramp, to FortuneView cited source
  14. [14]

    The labs are facing pressure from companies offering cheaper, open-weight models, including Chinese firms Alibaba, Moonshot AI and DeepSeek.

    Reported SupportedView cited source
  15. [15]

    Opus 5.5 is the first release in a new family of models, with Sonnet 5.5 and Haiku 5.5 expected "over the coming weeks," Anthropic said.

    Reported SupportedView cited source
  16. [16]

    OpenAI's release offers lower API pricing than Anthropic's, based on each company's announcement.

    Reported SupportedView cited source
  17. [17]

    Sol, a tier below Astra, is meant for more complex workloads like coding, while Luna is geared toward "high-volume tasks" like extracting information or summarizing documents.

    Reported SupportedView cited source
  18. [18]

    Neither Sol nor Luna is in the plain ChatGPT app yet, and OpenAI says it is rolling both out gradually throughout the day to keep the service stable.

    Reported SupportedView cited source
  19. [19]

    "CFOs have seen some of the sticker shock, and they haven't seen some of the gains that were promised in the initial investments," said Randall Hunt, CTO at the AI consulting company Caylent. "So they're coming back to their planning for 2027 and beyond, and saying, 'How can we optimize our costs here?'"

    Reported Supported Source: Randall Hunt, Caylent, to FortuneView cited source
  20. [20]

    Caylent calculates how long it takes employees to complete tasks with AI tools and then calculates "cost per task," an approach OpenAI encouraged in a mid-July 2026 blog post.

    Reported SupportedView cited source
  21. [21]

    Luna's input price fell by half while its output price fell about 58%.

    Derived Supported
  22. [22]

    A Luna job that reads one million tokens and writes one million tokens now costs $0.60, against $1.40 at the previous rates.

    Derived Supported
  23. [23]

    Sol's new prices are exactly half the old rates on both the input and output legs, so an identical token volume costs half what it did at the previous rates.

    Derived Supported
  24. [24]

    Reasoning effort is a dial OpenAI added: turn it up and the model spends more time and computing power double-checking itself before answering, which tends to raise accuracy and cost together.

    Reported SupportedView cited source
  25. [25]

    On AutomationBench, a benchmark built by Zapier that tests whether an AI agent can carry out a full business workflow using 47 tools spanning sales, marketing, operations, support, finance and HR, GPT-6 Sol at its highest reasoning setting scored 33.2% for $0.27 per task.

    Reported ContestedView cited source
  26. [26]

    Claude Opus 5 at its own top setting scored 26.9% on AutomationBench, but cost more than 11 times as much per task, according to OpenAI's own numbers.

    Reported ContestedView cited source
  27. [27]

    The releases from both companies are not frontier models, in that they are not a major step up in capabilities.

    Reported ContestedView cited source
  28. [28]

    At more than 11 times Sol's $0.27, Opus 5 cost more than $2.97 per AutomationBench task, about 11 cents for each point of pass rate against Sol's 0.8 cents.

    Derived Contested

Sources

16 independent publishers whose own reporting we read for this story.

  1. bloomberg.com

    1 article · September 22, 2026

    Anthropic Unveils More Cost-Efficient Opus 5.5 Model Before IPO - Bloomberg
  2. cnbc.com

    1 article · September 22, 2026

    Anthropic and OpenAI roll out cheaper models in first release since call for slowdown
  3. cryptobriefing.com

    4 articles · September 23, 2026

    Anthropic releases cheaper AI model ahead of potential trillion-dollar IPO
  4. cryptopolitan.com

    1 article · September 22, 2026

    OpenAI cuts GPT-6 Sol and Luna prices by 50% to defend developer share
  5. decrypt.co

    2 articles · September 22, 2026

    Anthropic’s New Claude Opus 5.5 Matches Fable at 60% the Price
  6. finance.yahoo.com

    2 articles · September 22, 2026

    Anthropic launches Opus 5.5, its first model since CEO Amodei called for AI slowdown
  7. fortune.com

    1 article · September 22, 2026

    What AI slowdown? OpenAI, Anthropic release dueling models as price wars heat up
  8. lennysnewsletter.com

    1 article · September 22, 2026

    I left Claude for months. Opus 5.5 is why I'm back
  9. nytimes.com

    1 article · September 22, 2026

    Anthropic Releases a New A.I. Model, Opus 5.5, Amid Safety Debate - The New York Times
  10. pivotnews.ai

    1 article · September 23, 2026

    Anthropic cuts Claude Opus 5.5 token prices 20% as OpenAI answers within the hour
  11. pymnts.com

    2 articles · September 22, 2026

    Anthropic Cuts AI Processing Costs 40% With Opus 5.5 Debut
  12. qz.com

    2 articles · September 23, 2026

    Anthropic launches Claude Opus 5.5 at lower cost, higher performance
  13. techtimes.com

    1 article · September 22, 2026

    Anthropic Claude Opus 5.5, OpenAI GPT-6 Sol & Luna Launch Today with Lower Costs
  14. thedailyupside.com

    1 article · September 23, 2026

    Meta Keeps Muse Momentum as Rivals Push New AI Models
  15. tomtunguz.com

    1 article · September 22, 2026

    The Most Important Market in AI is the Middle
  16. verdict.co.uk

    1 article · September 23, 2026

    Anthropic rolls out Claude Opus 5.5 across major cloud platforms

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