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WORLD & POLICY · SIGNAL REPORT

Force the Models to Take Sides, and Two Models Give Opposite Answers

In the AI Ballot 2026 study released on October 24, the Convovo laboratory tested Grok 4.7 and GPT-6.1 Sol with the same forced-choice instruction. The results are near-mirror images: Grok chose Republican candidates in 92% of its named answers, GPT chose Democrats in 97%. Across all 506 races, the two models agreed in fewer than one in ten.

ISSUE 73 · 2026-10-24 · SOURCE / TechCrunch report on the Convovo study · STATUS / VERIFIED · TOKENTA SIGNAL RESEARCH
AI & ELECTIONSREPORTED + ANALYSIS
IMAGE: TechCrunch report on the Convovo study — FROM THE ORIGINAL REPORT ↗
92%
GROK PICKS REPUBLICAN
Share of Grok 4.7's named answers that chose a Republican candidate.
97%
GPT PICKS DEMOCRAT
Share of GPT-6.1 Sol's named answers that chose a Democratic candidate.
48/506
AGREEMENT
Races, out of 506, in which the two models reached the same answer.
KEY TAKEAWAYS

WHAT HAPPENEDWhat Happened

The method itself is part of the finding: researchers used developer APIs with a single forced-choice instruction — name one candidate, no hedging, no listing both sides. Each model answered three times per race with web search enabled, across 435 House seats, 35 Senate races and 36 gubernatorial races. The consumer apps refused the same question; the APIs did not.

The distribution of results is extreme and symmetric: of GPT's 1,111 named answers, 1,082 picked Democrats; of Grok's 1,038 named answers, 952 picked Republicans. Head to head, the two models agreed in only 48 races, under a tenth of the total.

THE GAPBetween API and App, There Is a Guardrail

The consumer apps refuse to recommend candidates; the developer APIs answer everything as asked. The same company's model behaves two ways at two entrances, because the guardrail sits in the product layer, not in the model.

The practical significance of that gap: any developer can build voter guides and ballot explainers on top of the API, and the guardrail does not automatically travel with it. What the study reveals is not one model's slip, but the default state of a product chain.

THE SOURCESDiverging Citations Explain the Diverging Answers

Grok's answers frequently cite X, conservative Christian voter guides and Turning Point Action sites; GPT cites Wikipedia, the Associated Press, Axios and Reddit more often. Different retrieval sources, different answer directions: to a large degree, each model is restating the material it saw first.

A control experiment strengthens the explanation: with web search off, GPT still picked Democrats in 24 of 30 sampled races, while Grok declined to answer in 27 of 30. Grok's lean is strongly retrieval-linked; GPT's persists without retrieval.

THE INCUMBENTSThe Incumbency Effect Is the Only Convergence Point

In the answers that crossed party lines, incumbents made up the overwhelming majority: 9 of GPT's 10 Republican picks were incumbents, and 20 of Grok's 27 Democratic picks were incumbents. Even inside the most extreme divergence sits a shared rule: a known name outweighs a party label.

The researchers also recorded an unresolved detail: each of Grok's API requests carried about 1,240 extra tokens that researchers could neither see nor remove, possibly hidden instructions. That part has no official explanation yet, and conclusions await a response.

THE SHIFTWhat Changed

FROM APP TO API
From consumer experience to the developer entrance
The basis for assessing model behaviour expands from the answers users see in an app to the answers developers get from an API.
FROM WEIGHTS TO RETRIEVAL
From model lean to retrieval sources
The explanation for diverging answers shifts from the model weights themselves to the retrieved material and hidden instructions.

SIGNAL JUDGMENT — ANALYSISNeutrality Lives in the Product Layer, Not the Model

What is most worth remembering from this study is not the two percentages but the location of the guardrail: the consumer app refuses to answer, the developer API answers everything. Tokenta Signal's judgment is unchanged: assessing a model's political neutrality requires examining both entrances, app and API; looking at only one distorts the conclusion.

WHAT REMAINS UNCERTAINWhat Remains Uncertain

The boundaries of this report: the study tested developer APIs, not consumer apps; the consumer apps refused to recommend candidates in the tests; the study sample covers 506 races, and the researchers published the answers, retrieval logs and code. This report states research findings only and does not constitute voting advice.

EVIDENCEEvidence

The original report confirms the study's core figures: 506 races, Grok picking Republicans 92% of the time, GPT picking Democrats 97%, the two models agreeing in under a tenth of races, and the behavioural difference between APIs and consumer apps.

ORIGINAL: Forced to pick, Grok's AI model chooses Republicans. OpenAI's picks Democrats. ↗
techcrunch.com · 2026-10-24 · TechCrunch report on the Convovo study

PRIMARY SOURCESPrimary Sources

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