BlogLLM Benchmark Scores as Published, Side by Side

Magistral Medium: Benchmark Scores as Published

Every result the catalog holds for Magistral Medium: 9 tests in 2 areas, from 1 page. All were printed by Mistral AI itself. Each number is as printed; nothing is ranked or rescored.

Developer Mistral AIReleased 2025-06-10Weights ClosedData version 2026103001, as of 2026-10-30

Science and Math

TestValuePrinted bySetup as printed
GPQA Diamond70.8%Mistral AI, Announcing Magistralchecked 2026-10-15-
AIME 202564.9%Mistral AI, Announcing Magistralchecked 2026-10-15Attempt budget: pass@1
AIME 202473.6%Mistral AI, Announcing Magistralchecked 2026-10-15Attempt budget: pass@1
AIME 2024 cons@64 (majority vote over 64 samples)90%Mistral AI, Announcing Magistralchecked 2026-10-15Attempt budget: maj@64
AIME 2024 maj@4 (majority vote over 4 samples)81.3%Mistral AI, Announcing Magistralchecked 2026-10-15Attempt budget: maj@4
AIME 2025 maj@4 (majority vote over 4 samples)72.1%Mistral AI, Announcing Magistralchecked 2026-10-15Attempt budget: maj@4
AIME 2025 maj@64 (majority vote over 64 samples)83.3%Mistral AI, Announcing Magistralchecked 2026-10-15Attempt budget: maj@64

Code Generation

TestValuePrinted bySetup as printed
Aider polyglot47.1%Mistral AI, Announcing Magistralchecked 2026-10-15-
LiveCodeBench v559.4%Mistral AI, Announcing Magistralchecked 2026-10-15-

More from Mistral AI

Every number here is read from the same catalog file as the benchmark table, data version 2026103001. Where one page printed the 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.