{"id":13353,"date":"2025-12-17T08:12:20","date_gmt":"2025-12-17T08:12:20","guid":{"rendered":"https:\/\/www.cogainav.com\/?post_type=listivo_listing&#038;p=13353"},"modified":"2026-01-21T08:37:28","modified_gmt":"2026-01-21T08:37:28","slug":"artificial-analysis","status":"publish","type":"listivo_listing","link":"https:\/\/www.cogainav.com\/fr\/inscription\/artificial-analysis\/","title":{"rendered":"Artificial Analysis"},"content":{"rendered":"<p>Artificial Analysis positions itself as the world\u2019s most cited independent AI model evaluator. The site\u2019s core product is the Artificial Analysis Intelligence Index v3.0, a composite score that ranks frontier language models by running the same ten rigorous benchmarks on every model in its own GPU cluster. The benchmarks\u2014MMLU-Pro, GPQA Diamond, Humanity\u2019s Last Exam, LiveCodeBench, SciCode, AIME 2025, IFBench, AA-LCR, Terminal-Bench Hard and \u03c4\u00b2-Bench Telecom\u2014cover reasoning, knowledge, coding, agentic terminal use, long-context retrieval, instruction-following and competition math. Each model is tested on identical hardware with identical prompts; no vendor-supplied numbers are accepted, guaranteeing neutrality. Results are published as sortable, filterable tables that show an overall Intelligence Index plus separate Coding and Agentic sub-indexes, letting users see at a glance which model is \u201csmartest\u201d for a given domain. Beyond raw intelligence, the platform continuously measures real-world API performance: output tokens per second, time-to-first-token (including reasoning-model \u201cthinking\u201d time), end-to-end latency for a 500-token response, and USD cost to run the full benchmark suite. Price curves and token-efficiency plots are provided so buyers can balance capability against budget. The data set is released under CC-BY-4.0, encouraging journalists, researchers and enterprises to cite or embed the findings. In short, Artificial Analysis is a one-stop, vendor-agnostic dashboard that turns opaque vendor claims into transparent, reproducible numbers, updated whenever a new model appears.<\/p>","protected":false},"author":1,"template":"","listivo_14":[],"listivo_8605":"","listivo_8606":[""],"class_list":["post-13353","listivo_listing","type-listivo_listing","status-publish","hentry"],"listivo_145":[],"listivo_8661":"","_links":{"self":[{"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listings\/13353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listings"}],"about":[{"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/types\/listivo_listing"}],"author":[{"embeddable":true,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/users\/1"}],"version-history":[{"count":2,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listings\/13353\/revisions"}],"predecessor-version":[{"id":13356,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listings\/13353\/revisions\/13356"}],"wp:attachment":[{"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/media?parent=13353"}],"wp:term":[{"taxonomy":"listivo_14","embeddable":true,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listivo_14?post=13353"},{"taxonomy":"listivo_8605","embeddable":true,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listivo_8605?post=13353"},{"taxonomy":"listivo_8606","embeddable":true,"href":"https:\/\/www.cogainav.com\/fr\/wp-json\/wp\/v2\/listivo_8606?post=13353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}