Artificial Analysis
Artificial Analysis is an independent AI model evaluation and comparison platform focused on conducting multi-dimensional benchmarking of large language models and other AI models. Metrics covered include model capability (Intelligence Index), inference speed, pricing, and availability. Operating on principles of independence and objectivity, the platform aggregates results from multiple standardized tests to provide cross-model comparative references for researchers, developers, and enterprises.
Core Facts
This article is compiled based on a discussion thread on Reddit, and some litigation details and data come from a single source that has yet to be verified by authoritative media.
Artificial Analysis is a third-party evaluation platform that visualizes and compares model intelligence and operational cost on the same coordinate system.
Google stated that after the introductory period ends, the price of Gemini 4 Argon will rise to $4 per million input tokens and $20 per million output tokens, positioning it at the Opus 5.5 level.
Timeline (last 90 days)
Drama 3 scored 93.2% on Artificial Analysis' pronunciation robustness benchmark, ranking first, up from 88.1% for the previous generation S2.1 Pro.
According to testing by Artificial Analysis and Vals AI, Gemini 4 Argon outputs about 62k tokens per task at the high level, while GPT-6 Astra outputs about 27k tokens at the max level.
All public benchmarks run Gemini 4 Argon at the thinking_level=high level, including evaluations by Google, Artificial Analysis, and Vals AI.
The streamlined version Wonder ranks seventh on the Artificial Analysis Intelligence Index with 52 points, tied with GPT-6.1 Sol and the not-yet-released Gemini 4.0 Argon.
According to evaluation data from Artificial Analysis, Muse Wonder (Max mode) scores at the same level as GPT-6.1 Sol.
On the Artificial Analysis index, Claude Opus 5.5 scores 58, while Gemini 4 Argon and GPT-6 Astra both score 53.
Measurements by Artificial Analysis show that Muse Wonder's time to first token is 19.27 seconds, while the median for comparable models is 5.52 seconds.
On MemoryBench, Wonder defeated Fable, Opus, and Astra; on the Artificial Analysis index, Wonder Full ranks second, behind only Opus 5.5.
Meta's newly released model Muse Wonder ranked third overall in the Artificial Analysis composite ranking, defeating all OpenAI models and far surpassing the previous Spark 1.3.
Artificial Analysis measured Gemini 4 Argon (high) at an average cost of $1.99 per task at promotional pricing and $3.98 at standard pricing, with an Intelligence Index score of 53.
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All Facts (20)
This article is compiled based on a discussion thread on Reddit, and some litigation details and data come from a single source that has yet to be verified by authoritative media.
90%VerifiedArtificial Analysis is a third-party evaluation platform that visualizes and compares model intelligence and operational cost on the same coordinate system.
85%VerifiedGoogle stated that after the introductory period ends, the price of Gemini 4 Argon will rise to $4 per million input tokens and $20 per million output tokens, positioning it at the Opus 5.5 level.
80%VerifiedCredibility is higher only when multiple independent evaluation sources reach consistent conclusions, and multiple evaluation sources should be cross-validated.
75%VerifiedArtificial Analysis is an independent AI model evaluation organization founded in 2023 and headquartered in London.
75%VerifiedThe Artificial Analysis Intelligence Index provides a unified intelligence score by integrating multiple evaluations including reasoning, coding, mathematics, and knowledge Q&A.
75%VerifiedMistral Large 4 scored only 38 points on the Artificial Analysis composite intelligence index, ranking sixth among open-source models after excluding closed-source models.
70%VerifiedOn Automation Bench, Gemini 4 Argon scored 51.3%, surpassing Fable 5.1's 31.4% and Opus 5.5's 42.5%.
70%VerifiedOpus 5.5 scored 66 on the Terminal agent benchmark, higher than Sonnet's 55 and Astra's 57.9.
70%VerifiedArtificial Analysis是一个独立的AI模型基准测试平台，综合编程能力、数学推理、语言理解、知识问答等多个维度评估模型表现
70%VerifiedOn the Artificial Analysis Cyber Index, Mistral Large 4 scored 50, tying for first place with GLM 5.3 Flash.
65%VerifiedArtificial Analysis Intelligence Index整合了MMLU、HumanEval、MATH、GPQA等多个基准测试的加权结果
65%UnverifiedThe Artificial Analysis Index (AA) is published by the independent evaluation organization Artificial Analysis, aggregating benchmarks such as MMLU, GPQA, HumanEval, and MATH to calculate a composite score from 0 to 100.
70%UnverifiedGLM-5.3-Flash achieved a score of 57 on the Artificial Analysis composite intelligence index evaluation, on par with Claude Opus 4.8.
70%UnverifiedGDPval（General Domain Performance Validation）是一个综合性大语言模型评估基准，涵盖推理、知识问答、代码生成、多语言理解等维度
70%UnverifiedIn the Intelligence Index given by the independent evaluation organization Artificial Analysis, Muse Wonder scores only 52, while Claude Opus 5.5 reaches 58.
60%UnverifiedFrance's Mistral has released Mistral Large 4, scoring 38 points in a third-party intelligence index evaluation.
60%UnverifiedIn the same round of Artificial Analysis evaluations, Qwen 3.8 generated approximately 160 million tokens, while the median for open models in the same tier was 43 million tokens.
60%UnverifiedArtificial Analysis evaluates models across multiple dimensions in a unified, controlled testing environment, and its composite score aggregates reasoning, mathematics, code, knowledge Q&A, and other dimensions through a weighted algorithm.
60%UnverifiedAI market analysis tools need to work on data source transparency and verifiability in order to earn the trust of professional users.
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