AI World Cup 2026: GPT-5.5 Thinking Predicts Spain's Victory
The AI World Cup has set a new standard by assessing ten large language models (LLMs) on their capacity to predict the outcomes of the 2026 FIFA World Cup. Each model generated a single pre-tournament forecast using uniform inputs, including the same tournament snapshot, prompt, JSON schema, and scoring method. Predictions encompassed group-stage scores, rankings, knockout brackets, final placements, confidence levels, and brief rationales. Following the completion of all 104 matches, GPT-5.5 Thinking topped the results with 744 points, trailed by GPT-5.5 (717), Gemini (699), and Qwen 3.7 (687). Remarkably, GPT-5.5 Thinking was the sole model to accurately name Spain as the champion, who triumphed over Argentina 1-0 in the final. The final standings were largely influenced by knockout-stage outcomes. This benchmark seeks to standardize the comparison of LLM forecasting capabilities, addressing inconsistencies in previous evaluations. The paper can be found on arXiv with the identifier 2608.03416.
Key facts
- Ten LLM-based assistants participated in the AI World Cup benchmark.
- Each model made a single pre-tournament forecast of the entire 2026 FIFA World Cup.
- All submissions used the same tournament snapshot, prompt, JSON schema, and scoring procedure.
- Forecasts covered group-stage scores, group rankings, knockout bracket, final placings, confidence values, and explanations.
- GPT-5.5 Thinking finished first with 744 points.
- GPT-5.5 scored 717 points, Gemini 699, and Qwen 3.7 687.
- GPT-5.5 Thinking was the only model to select Spain as champion.
- Spain defeated Argentina 1-0 in the final.
- The final ranking was driven mainly by knockout-stage performance.
- The paper is available on arXiv with identifier 2608.03416.
Entities
Institutions
- arXiv
- FIFA
Locations
- Spain
- Argentina