Artificial Analysis v5: Gemini 4 Argon tops AutomationBench-AA
Artificial Analysis releases v5 results across nine evaluations, with no single leader; Gemini 4 Argon leads AutomationBench-AA at 78% while Claude Opus 5.5 tops three.
v5 leaves significant room for progress across all nine evaluations, and no single model leads them all. Of the models we measured, Claude Opus 5.5 leads three, and five other models lead the remaining six: ➤ Claude Opus 5.5: FrontierCode 2.0 (46%), HLE-Diamond (68%) and AA-Omniscience v1.1 (48) ➤ GPT-6 Astra: Terminal-Bench-Science (63%) and CritPt v2 hard subset (72%) ➤ Claude Sonnet 5.5: AA-Briefcase (1812 Elo) ➤ Kimi K3.1 Pro: Terminal-Bench 4.0 (67%) ➤ Gemini 4 Argon: AutomationBench-AA (78%) ➤ Muse Wonder Full: GDP.pdf (33% all-pass)
Announcing Artificial Analysis Intelligence Index v5, featuring 2 new benchmarks and 3 upgrades. For the first time, the majority of the Index is built on private datasets The Artificial Analysis Intelligence Index is our composite measure of model capabilities across tasks reflecting real-world usage today. v5 is our biggest upgrade since v4 launched in January. With v5, 60% of the Index is now based on evaluations with private test sets or held-out answers. Alongside Intelligence Index v5, we’re launching the Artificial Analysis Progress Index v1, which tracks model capability over time on one continuous scale. New to the Intelligence Index: ➤ FrontierCode 2.0: Cognition's newly-launched private benchmark of real-world coding tasks, graded on whether a repository maintainer would merge the agent's change ➤ Terminal-Bench-Science: 70 agentic scientific research tasks, run in a terminal environment Upgraded: ➤ HLE-Diamond (replacing Humanity's Last Exam): a refined 1,000-question version of Humanity's Last Exam, split evenly between reasoning and knowledge questions ➤ AA-Omniscience v1.1: An updated dataset with saturated and public set questions removed, new questions added, and ambiguous or erroneous questions revised ➤ CritPt v2: a private, 40-question hard subset of CritPt v2, revised by the CritPt authors and run with a code-execution tool Staying in the Index: AA-Briefcase, AutomationBench-AA, GDP.pdf and Terminal-Bench 4.0 Removed from the Index: GDPval-AA v2.1, SciCode, and AA-LCR v1.1 Key results: ➤ Claude Opus 5.5 (max) leads at 58, ahead of GPT-6 Astra (max, 57) and GPT-6.1 Sol (max, 55): Anthropic and OpenAI hold the top five models. Gemini 4 Argon (high) is next at 50 ➤ The open weights gap widens from 3 points to 12: Kimi K3.1 Pro (weights not yet released) is the top open weights model at 46. Among released weights, DeepSeek V4.1 Flash 1017 (max) and GLM-5.3 (max) lead at 32 - 26 points behind the leader and below Claude Haiku 5.5 (max, 36) ➤ Cost per task varies by more than 13x among the leading models: of the 10 highest-scoring models shown, GPT-6.1 Terra (max) is the cheapest at $0.96 per Intelligence Index task and Claude Fable 5.1 (max) the most expensive at $13.04
