BlogLLM Benchmark Scores as Published, Side by Side

Mistral Large 3: Benchmark Scores as Published

Every result the catalog holds for Mistral Large 3: 5 tests in 5 areas, from 2 pages. All were printed by Mistral AI itself. Each number is as printed; nothing is ranked or rescored.

Developer Mistral AIReleased 2025-12-02Context window 256KInput Text, imageWeights Open (Apache 2.0)Data version 2026103001, as of 2026-10-30

Science and Math

TestValuePrinted bySetup as printed
GPQA Diamond64.1%Mistral AI, Mistral Small 4 model cardchecked 2026-10-15-

Multimodal Understanding

TestValuePrinted bySetup as printed
MMMU-Pro54%Mistral AI, Mistral Small 4 model cardchecked 2026-10-15-

General Knowledge and Reasoning

TestValuePrinted bySetup as printed
MMLU-Pro80.9%Mistral AI, Mistral Small 4 model cardchecked 2026-10-15-

Instruction Following

TestValuePrinted bySetup as printed
IFBench37.8Mistral AI, Mistral Small 4 model cardchecked 2026-10-15-

Preference and Composite Rankings

TestValuePrinted bySetup as printed
Arena-Hard win rate (GPT-4-1106 judge)66.7%Mistral AI, Mistral Small 4 model cardchecked 2026-10-15-

Price

API list prices in US dollars per one million tokens, as printed on the developer's pricing page on the day checked.

PriceValuePrinted bySetup as printed
Input$0.5Mistral AI, Mistral API pricingchecked 2026-10-15-
Cached input$0.05Mistral AI, Mistral API pricingchecked 2026-10-19-
Output$1.5Mistral AI, Mistral API pricingchecked 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.