Data as of · 78 models, 80 questions · reviewed by LLM Verifications team · methodology

Data

Download the benchmark data

The numbers behind every page, one row per model, in CSV or JSON. The files are rebuilt from the latest run, so the same URL always holds the current data.

Maintained by LLM Verifications team · Data as of

Files

The JSON file also carries the suite name and hash, the source datasets with their licences, and the number of speed runs per model.

Columns

Empty cells mean the measure was not taken or not published for that model (for example, no score when too many requests failed on the host's side). Every definition is on the methodology page.

model_id, name, creator, url, open_weights, reasoning, score_pct, correct, graded, failed_requests, cost_per_question_usd, cost_per_correct_usd, output_tokens_per_s, time_to_first_token_s, end_to_end_s, output_tokens_per_question, context_window, list_input_usd_per_m, list_output_usd_per_m, quality_tested_at, speed_tested_at, supergpqa_correct, mmlu-pro_correct, subject_science_correct, subject_engineering_correct, subject_medicine_correct, subject_economics_correct, subject_law_correct, subject_humanities_social_science_correct

Using the data

You may reuse the numbers with a link back, under our terms of use. The questions themselves belong to their datasets and keep their own licences: SuperGPQA (ODC-BY 1.0), MMLU-Pro (MIT). Scores come from 80 questions, so a gap of a few points between two models is usually within chance.

Suggested citation

LLM Verifications team. LLM Verifications AI model benchmark results, data as of 2026-10-27. https://www.llmverifications.com/downloads