BlogLLM Benchmark Scores as Published, Side by Side
AGIEval: Results as Published
Every result the catalog holds for AGIEval: 3 models from 1 developer, read from 1 page. Each number is as printed by the company named beside it; nothing is ranked or rescored. Models are listed by developer, newest first.
Area General Knowledge and ReasoningMaintainer Microsoft (Wanjun Zhong and co-authors)Introduced 2023Data version 2026103001, as of 2026-10-30
AGIEval tests general ability with questions taken from standardized human exams: college entrance tests, law school admission tests, math competitions and lawyer qualification exams, in English and Chinese. The score is the share of questions answered correctly.
AGIEval
| Model | Value | Printed by | Setup as printed |
|---|---|---|---|
| DeepSeek-V4-Flash-BaseDeepSeek, released 2026-04-24 | 82.6% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | - |
| DeepSeek-V4-Pro-BaseDeepSeek, released 2026-04-24 | 83.1% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | - |
| DeepSeek-V3.2-BaseDeepSeek, released 2025-12-01 | 80.1% | DeepSeek, DeepSeek-V4-Pro (preview) model cardchecked 2026-10-15 | - |
Every number here is read from the same catalog file as the benchmark table, data version 2026103001, and is the number the table shows for that model and test. Where one page printed a model under several setups, each value is listed. The catalog is public in armanobosyan/sugra-llm-benchmarks; a wrong number can be reported from the table, with Report an error under the value, or as an issue in that repository.