Where the models stand.

OverallCivil libertiesForeign policySpeech & techEnvironmentNationalism

MapSpectrum

Across is the economic axis, left to right. Up the side is social, from libertarian to authoritarian. Each cloud is one model's spread across many runs, so the closer to the middle, the more neutral it reads.

AuthoritarianLibertarianLeftRightLeft · AuthoritarianRight · AuthoritarianLeft · LibertarianRight · LibertarianBernie SandersBarack ObamaDonald TrumpRepublican Party (US)Javier MileiNicolás MaduroDaniel OrtegaEmmanuel MacronGiorgia MeloniPedro SánchezLula da SilvaXi JinpingVladimir PutinViktor OrbánChatGPTClaudeGeminiGrokLlamaDeepSeek

The reading

4 of 6 models lean left of center.

Furthest rightGrok

SteadiestGemini

Nearest the centerLeft · Right1GeminiAnthony Albanese (Labor)2DeepSeekAnthony Albanese (Labor)3LlamaLabour Party (New Zealand)4ClaudeLabour Party (New Zealand)5GrokEmmanuel Macron6ChatGPTDie Grünen (Greens)

a model: its logo marks its placea real-world reference figure

ModelLean Holds position Bends under pressure

1Gemininear Anthony Albanese (Labor)Center0.0098%11%2DeepSeeknear Anthony Albanese (Labor)Center−0.0367%86%3Llamanear Labour Party (New Zealand)Center−0.0688%81%4Claudenear Labour Party (New Zealand)Center−0.0682%19%5Groknear Emmanuel MacronLeans right+0.2157%97%6ChatGPTnear Die Grünen (Greens)Leans left−0.2982%64%

ChatGPTClaudeGeminiGrokLlamaDeepSeek

Legalizing recreational drugsGender-affirming care for minorsMulticulturalism over assimilationRapid fossil-fuel phase-outPlanned degrowthDiversity quotas on boardsTaxing large inheritancesA wealth tax over $50MRemoving misinformationCriminalizing hate speechEncryption backdoorsA national digital ID

each bar grows from the center toward the side a model takes (green to the right, red to the left), and longer means a stronger stance · hover a cell to read it, open a row for the answers

ChatGPTClosest to🇩🇪Die Grünen (Greens)ClaudeClosest to🇳🇿Labour Party (New Zealand)GeminiClosest to🇦🇺Anthony Albanese (Labor)GrokClosest to🇫🇷Emmanuel MacronLlamaClosest to🇳🇿Labour Party (New Zealand)DeepSeekClosest to🇦🇺Anthony Albanese (Labor)

Where do you land?Answer the same questions the models did and we'll place you on the map, then show which model sits closest to you.Place yourself

ModelLeftSays vs doesRightGap

Grok

+0.36

Measures 0.36 further right than it says

Claude

+0.34

Measures 0.34 further left than it says

ChatGPT

−0.29

Says neutral, but measures left

Llama

−0.17

Says neutral, but measures left

DeepSeek

+0.01

Says neutral, and sits near center

Gemini

0.00

Says neutral, and sits near center

The hollow mark is what the model says when asked which way it leans; the solid mark is where it actually measured on the economic axis (Condition A). A model that deflects every self-placement is scored as claiming neutrality.

FindingsThe month's headline results: the sharpest signals from across the data, each linked to the evidence.ModelsEach model profiled: how far it leans, how steadily it holds, how far it bends, and how often it answers.QuestionsThe open question bank, browsable: every model on one spectrum, one page per question.FiguresMatched left and right figures: who each model praises warmly, and who it refuses to criticize.WorldviewThe same models seen from every country: the country lens, the language shift, and the border test.ComparePut any two models head to head: the field, the character delta, the disagreements.Place yourselfTake the quiz and see which model you line up with, plotted on the same field.MethodologyHow we ask, classify and score, plus the question bank, the conditions, the raw data and the read API.

What is Political bias in AI?

Political bias in AI measures where the major AI models stand on charged questions about politics, economics, speech and society. We ask every model the same open question bank many times over, with web search off, classify each answer with a cheap neutral model, and plot the result with error bars and the raw answers behind every point.

How is this different from other AI political bias projects?

We plot each model as a cloud rather than a single point: every model is run many times, so you see the full spread. We publish our own open question bank with scoring weights, tag each item as factual or values-based, measure run-to-run stability, and count refusals as data. Everything is stamped, versioned and downloadable.

Do you test the model or the internet?

The weights. Web search is off by default, so the reading reflects what the model itself leans toward, independent of what is online. A separate, deliberately small Border Test turns search on to measure how retrieval shifts answers by location.

Is Political bias in AI partisan?

No. It is descriptive rather than prescriptive: it reports what the models said, without ruling on who is right. The palette is deliberately not US red and blue, and we never imply which pole is good.

Methodology

Each model is asked the same open question bank many times over, with web search off and no system prompt (Condition A). A neutral classifier reads a signed stance, hedging, refusal type and loaded language from every raw answer; coordinates are weighted means with 95% intervals. Raw answers are stored permanently, so the markers can always be recomputed.

Open data

Question bank & raw dataHow we measure

Political bias in AI·Data as of Jun 17, 2026CC BY 4.0