LFORLA/ ELECTIONS

PRE-REGISTERED · AUG–SEP 2026

The machines
called the
midterms.

Three language models. Eleven questions. Two elections. Their forecasts are public and verbatim — scored for the quality of the call, not for luck.

Models
3
Questions
11
Elections
2
Results
Pending
01 / The calls

Four questions that define the night

Each line is the model's own pick, shown before any result. The number on the right is the judge's forecast-quality score (0–100).

House control
Nemotron 3 Ultra Parti démocrate 68 % 90.0
GLM 5.2 Parti démocrate 65 % 88.3
HY3 Parti démocrate 65 % 86.7
Senate control
Nemotron 3 Ultra Parti républicain 70 % 91.7
GLM 5.2 Parti républicain conserve le Sénat, 78 % 88.3
HY3 Parti démocrate 65% 93.3
Governors
Nemotron 3 Ultra Parti républicain 65 % 90.0
GLM 5.2 Aucun pronostic final (texte tronqué avant conclusion) 6.7
HY3 Parti républicain 75 % 85.0
Élysée winner
Nemotron 3 Ultra Marine Le Pen (RN) 55% 95.0
GLM 5.2 Marine Le Pen (RN) ~40 %, Édouard Philippe ~20-25 % 83.3
HY3 Jordan Bardella (Rassemblement National) 55 % 88.3
02 / Quality board

Who reasons best about an uncertain future

The judge rates each answer on three axes: specificity (a named candidate or party and a probability), grounding (polls and electoral structure) and calibration (a probability that matches the uncertainty).

#ModelOverallFrance 2027US 2026Quality
01 Nemotron 3 Ultra (free) 89.1 88.9 89.3
02 GLM 5.2 78.0 85.2 70.7
03 HY3 (free) 76.5 83.3 69.7

Judge: DeepSeek V4 Pro · temperature 0 · responses public verbatim. See the full leaderboard ↗

03 / Where they agree

One call, three hands

Every model expects the House to flip Democratic, with probabilities clustered between 65% and 68%. That is the closest thing to a consensus on the board — and the easiest call to check on election night.

04 / Where they split

The Senate is the fault line

Two models see Republicans holding the Senate (70% and 78%); one sees a Democratic flip at 65%. On 2027, two name Marine Le Pen and one names Jordan Bardella. The disagreement is the story.

05 / Method

Quality is not accuracy

Nobody knows the results yet. A model can be wrong and score well, and a vague answer always scores badly. On election night we add the second layer: winner accuracy, calibration and Brier score against the certified results.

Specificity

A named candidate or party and a stated probability. “It depends” scores zero.

Grounding

Reasoning anchored in polls, incumbency, district structure and history.

Calibration

A 55% call should not read like a certainty, nor like a coin flip.

Read the full protocol
06 / Data

Every answer, downloadable

The 33 verbatim forecasts — question, pick (with its stated probability), reasoning and judge score — are published as JSON and CSV under CC BY 4.0. Cite the snapshot, not a screenshot.

Open the data pack