BlogLLM Benchmark Scores as Published, Side by Side

Surge AI Human Eval on Code: Results as Published

Every result the catalog holds for Surge AI Human Eval on Code: 5 models from 4 developers, 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 Preference and Composite RankingsMaintainer Mistral AI with Surge AIIntroduced 2026Data version 2026103001, as of 2026-10-30

This is a blind human study of coding quality run by Mistral with Surge AI. Professional annotators rate model outputs, and the model names are hidden. Each rating is on a 1 to 5 scale. The post reports that rating as the result and does not describe the coding tasks or how the ratings are combined.

Surge AI human eval on code (1 to 5)

ModelValuePrinted bySetup as printed
Claude Opus 5Anthropic, released 2026-07-244.22Mistral AI, Mistral Large 4 (preview)checked 2026-10-15-
Kimi K3Moonshot AI, released 2026-07-163.59Mistral AI, Mistral Large 4 (preview)checked 2026-10-15-
GLM-5.3Z.ai, released 2026-08-183.6Mistral AI, Mistral Large 4 (preview)checked 2026-10-15-
GLM-5.2Z.ai, released 2026-06-163.4Mistral AI, Mistral Large 4 (preview)checked 2026-10-15-
Mistral Large 4 (preview)Mistral AI, released 2026-10-063.74Mistral AI, Mistral Large 4 (preview)checked 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.