Thesis · Foundation Models & AI Intelligence

Will an open-weight model match or be within 2 points of the top closed model on a major coding benchmark before 2027-12-31?

Open-weight releases from Chinese and Western labs (DeepSeek, Qwen, GLM, Llama-class) will reach within ~2 points of the best closed frontier model on a headline public coding benchmark, demonstrating effective capability parity.

6 dated tests · 0 resolved · next on

The tests More theses in Foundation Models & AI Intelligence

Who is on each side

The two sides.

Each side in DeepStack’s words, then the voices who argue it, attributed and paraphrased, dated where the date is known. A voice links to its page on DeepStack where one exists.

The case for yes

Open-weight models close the gap

Fast open-source iteration, cheap training-method innovation, and hosted inference removing the local-hardware wall let open-weight models track closed frontier releases within months. Developers and researchers describe switching workflows to hosted open-weight endpoints without losing capability, and note that competitive open-weight releases intensify pressure on closed labs. These dynamics point toward an open-weight model reaching within 2 points of the top closed model on a headline public coding benchmark before 2027, undermining the claim that frontier capability is a defensible closed-lab moat.

The case for no

The gap holds open

Scale advantages compound through reinforcement-learning feedback loops in reasoning models, narrowing the field of leading developers rather than letting open-weight releases catch up. A pivot by a well-resourced open-weight developer toward compute and infrastructure services, after concluding it cannot build globally leading open-weight models, illustrates that closing the capability gap is harder than cheap iteration suggests. On this view, no open-weight model comes within 2 points of the top closed model on a headline public coding benchmark before 2027.

6 voices

Open-weight models close the gap

  1. Wyndo

    The full model needs roughly 256 GB of RAM, which blocks local use on ordinary machines, but pointing Claude Code's environment variables at an OpenRouter-hosted GLM 5.2, or OpenCode at Cloudflare Workers AI, keeps the workflow identical while…

    Source

  2. Stephen Clapham

    As open source models close the performance gap with proprietary systems while remaining months behind, competition intensifies and customers can choose lower-cost alternatives, compressing margins and making the model layer unproductive for capital.

    Source

  3. Michael Spencer

    When open-source models match or exceed closed-source performance while remaining transparent and cost-effective, developers adopt them over proprietary options regardless of which company developed them.

    Source

  4. Arctan Research

    The oligopoly case rested on the premise that progress required continuously larger capital outlays, which limited the field to firms able to fund them. Demonstrating that a small firm can advance training methods cheaply removes that barrier…

    Source

  5. Kevin Gee

    AOL provided a simple gateway to the Internet when the public Internet was complex. As the public Internet improved in usability and breadth, AOL's closed toll-booth became unnecessary. OpenAI is in a similar position: ChatGPT is simple and…

    Source

  6. AI Mafia

    As open-source models demonstrate competitive capabilities with proprietary systems, the competitive pressure drives more rapid innovation and development across the AI industry.

    Source

4 voices

The gap holds open

  1. Michael Spencer

    When Mistral realizes it cannot build globally leading open-weight models despite significant resources, it pivots toward compute and infrastructure services. This move abandons its stated sovereign AI positioning and places it in direct…

    Source

  2. James Kynge

    Data volume compounding into AI video leadership

    Source

  3. Brown Advisory

    Feedback loops in reasoning models combined with reinforcement learning create a one-sided network effect from scale, narrowing the number of leading LLM players and reducing the risk that LLM models become commodities.

    Source

  4. Timothy B Lee

    Chilling effect on open-weight model development

    Source

What would settle it

The dated tests.

Each test names the public source that settles it, the rule and the day. The Call’s number, the readers’ median and the machines’ numbers stand beside it, as on the Docket.

  1. Palantir, gross margin, quarter ended September 30, 2026: whether it comes in at or above 84%.

    On the Docket Pendingth127-t04Pre-specified

    Question
    Did the gross profit of Palantir for the quarter ended September 30, 2026 come to at or above 84.0% of its revenue?
    Source
    SEC EDGAR, XBRL company facts of Palantir (Forms 10-Q and 10-K)
    Rule
    Divide the gross profit by the revenue that Palantir reports for the quarter ended September 30, 2026 in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if the ratio is at or above 84.0%; no if it is below 84.0%.
    If the source is late, revised or silent
    If Palantir has not filed by November 16, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.
    Base rate
    Palantir's gross margin was 84.7% for the quarter ended June 30, 2026, by its filing on SEC EDGAR.
    Outside view
    A year earlier, for the quarter ended June 30, 2025, the same line read 80.8%, so the rungs sit on the last print.
    What would change the number
    A change in product mix, a one-time charge, or a reclassified line would move the reading.

    The Call, before the dateExpects yes. Gives the yes answer 76%.

    76%

    0 · no100 · yes

    The machinesClaude 80% · DeepSeek 20%

    Claude: 80%DeepSeek: 20%
    The ladder 3 rungs on one reading, Nov 2, 2026: each asks whether it lands above its threshold, so the Call’s numbers down the rungs sketch where it expects the reading to land.

    1. Above 84%Call 76% · Claude 80% · DeepSeek 20%

      76%

    2. Above 84.9%Call 48% · Claude 60% · DeepSeek 8%

      48%

    3. Above 85.8%Call 23% · Claude 61% · DeepSeek 15%

      23%

    0 · no50100 · yes

    Your number

  2. Palantir, gross margin, quarter ended September 30, 2026: whether it comes in at or above 84.9%.

    On the Docket Pendingth127-t05Pre-specified

    Question
    Did the gross profit of Palantir for the quarter ended September 30, 2026 come to at or above 84.9% of its revenue?
    Source
    SEC EDGAR, XBRL company facts of Palantir (Forms 10-Q and 10-K)
    Rule
    Divide the gross profit by the revenue that Palantir reports for the quarter ended September 30, 2026 in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if the ratio is at or above 84.9%; no if it is below 84.9%.
    If the source is late, revised or silent
    If Palantir has not filed by November 16, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.
    Base rate
    Palantir's gross margin was 84.7% for the quarter ended June 30, 2026, by its filing on SEC EDGAR.
    Outside view
    A year earlier, for the quarter ended June 30, 2025, the same line read 80.8%, so the rungs sit on the last print.
    What would change the number
    A change in product mix, a one-time charge, or a reclassified line would move the reading.

    The Call, before the dateEither answer fits the Call. Gives the yes answer 48%.

    48%

    0 · no100 · yes

    The machinesClaude 60% · DeepSeek 8%

    Claude: 60%DeepSeek: 8%

    Your number

  3. Palantir, gross margin, quarter ended September 30, 2026: whether it comes in at or above 85.8%.

    On the Docket Pendingth127-t06Pre-specified

    Question
    Did the gross profit of Palantir for the quarter ended September 30, 2026 come to at or above 85.8% of its revenue?
    Source
    SEC EDGAR, XBRL company facts of Palantir (Forms 10-Q and 10-K)
    Rule
    Divide the gross profit by the revenue that Palantir reports for the quarter ended September 30, 2026 in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if the ratio is at or above 85.8%; no if it is below 85.8%.
    If the source is late, revised or silent
    If Palantir has not filed by November 16, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.
    Base rate
    Palantir's gross margin was 84.7% for the quarter ended June 30, 2026, by its filing on SEC EDGAR.
    Outside view
    A year earlier, for the quarter ended June 30, 2025, the same line read 80.8%, so the rungs sit on the last print.
    What would change the number
    A change in product mix, a one-time charge, or a reclassified line would move the reading.

    The Call, before the dateExpects no. Gives the yes answer 23%.

    23%

    0 · no100 · yes

    The machinesClaude 61% · DeepSeek 15%

    Claude: 61%DeepSeek: 15%

    Your number

  4. C3.ai, gross margin, quarter ended October 31, 2026: whether it comes in at or above 30.2%.

    On the Docket Pendingth127-t01Pre-specified

    Question
    Did the gross profit of C3.ai for the quarter ended October 31, 2026 come to at or above 30.2% of its revenue?
    Source
    SEC EDGAR, XBRL company facts of C3.ai (Forms 10-Q and 10-K)
    Rule
    Divide the gross profit by the revenue that C3.ai reports for the quarter ended October 31, 2026 in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if the ratio is at or above 30.2%; no if it is below 30.2%.
    If the source is late, revised or silent
    If C3.ai has not filed by December 17, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.
    Base rate
    C3.ai's gross margin was 31.8% for the quarter ended July 31, 2026, by its filing on SEC EDGAR.
    Outside view
    A year earlier, for the quarter ended July 31, 2025, the same line read 37.6%, so the rungs sit on the last print.
    What would change the number
    A change in product mix, a one-time charge, or a reclassified line would move the reading.

    The Call, before the dateExpects yes. Gives the yes answer 70%.

    70%

    0 · no100 · yes

    The machinesClaude 88% · DeepSeek 95%

    Claude: 88%DeepSeek: 95%
    The ladder 3 rungs on one reading, Dec 2, 2026: each asks whether it lands above its threshold, so the Call’s numbers down the rungs sketch where it expects the reading to land.

    1. Above 30.2%Call 70% · Claude 88% · DeepSeek 95%

      70%

    2. Above 31.9%Call 48% · Claude 88% · DeepSeek 93%

      48%

    3. Above 33.5%Call 25% · Claude 80% · DeepSeek 92%

      25%

    0 · no50100 · yes

    Your number

  5. C3.ai, gross margin, quarter ended October 31, 2026: whether it comes in at or above 31.9%.

    On the Docket Pendingth127-t02Pre-specified

    Question
    Did the gross profit of C3.ai for the quarter ended October 31, 2026 come to at or above 31.9% of its revenue?
    Source
    SEC EDGAR, XBRL company facts of C3.ai (Forms 10-Q and 10-K)
    Rule
    Divide the gross profit by the revenue that C3.ai reports for the quarter ended October 31, 2026 in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if the ratio is at or above 31.9%; no if it is below 31.9%.
    If the source is late, revised or silent
    If C3.ai has not filed by December 17, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.
    Base rate
    C3.ai's gross margin was 31.8% for the quarter ended July 31, 2026, by its filing on SEC EDGAR.
    Outside view
    A year earlier, for the quarter ended July 31, 2025, the same line read 37.6%, so the rungs sit on the last print.
    What would change the number
    A change in product mix, a one-time charge, or a reclassified line would move the reading.

    The Call, before the dateEither answer fits the Call. Gives the yes answer 48%.

    48%

    0 · no100 · yes

    The machinesClaude 88% · DeepSeek 93%

    Claude: 88%DeepSeek: 93%

    Your number

  6. C3.ai, gross margin, quarter ended October 31, 2026: whether it comes in at or above 33.5%.

    On the Docket Pendingth127-t03Pre-specified

    Question
    Did the gross profit of C3.ai for the quarter ended October 31, 2026 come to at or above 33.5% of its revenue?
    Source
    SEC EDGAR, XBRL company facts of C3.ai (Forms 10-Q and 10-K)
    Rule
    Divide the gross profit by the revenue that C3.ai reports for the quarter ended October 31, 2026 in its 10-Q or 10-K filing on SEC EDGAR. The answer is yes if the ratio is at or above 33.5%; no if it is below 33.5%.
    If the source is late, revised or silent
    If C3.ai has not filed by December 17, 2026, or a filing restates a period the rule reads, the test is inconclusive, and the Result says what was read and what was missing.
    Base rate
    C3.ai's gross margin was 31.8% for the quarter ended July 31, 2026, by its filing on SEC EDGAR.
    Outside view
    A year earlier, for the quarter ended July 31, 2025, the same line read 37.6%, so the rungs sit on the last print.
    What would change the number
    A change in product mix, a one-time charge, or a reclassified line would move the reading.

    The Call, before the dateExpects no. Gives the yes answer 25%.

    25%

    0 · no100 · yes

    The machinesClaude 80% · DeepSeek 92%

    Claude: 80%DeepSeek: 92%

    Your number

In The Buildout

The stories that take up this thesis, with their own Calls and tests.

A thesis page states one question and both sides of it; DeepStack takes no side in words, and its view is the number it gives each test before the date. Analysis and opinion, not investment advice. Voices are paraphrased from public writing and attributed by name; DeepStack shows no score, ranking or accuracy for any person. Pre-specified means the words were approved on or before the test’s date. Specified after the date means they were written afterwards: such a test is counted and shown, and never rated. An open question has no words yet. The Call’s number is the chance, from 0 to 100, that the Call gives the yes answer to a test’s question, recorded before the test’s date; it is DeepStack’s own reading, not a market price and not advice. The readers’ mark on the same line is the readers’ median, the middle of the numbers signed-in readers gave the test, shown from 25 readers. The machines: Each model read this page and nothing else. The number that counts is the latest one each model gave before the test closed.