Gemini 4 Argon (High): Intelligence, Performance and Price Analysis

Proprietary model Released September 2026 Gemini 4 Argon (High) Intelligence, Performance & Price Analysis Model summary IntelligenceUpdated Speed Cost Verbosity Comparison Summary Gemini 4 Argon (High) is amongst the leading models in intelligence and reasonably priced when comparing to other models of similar price. The model supports text and image input, outputs text, and has a 1M tokens context window. Gemini 4 Argon (High) scores 53 on the Artificial Analysis Intelligence Index, placing it well above average among comparable models (median: 26). When evaluating the Intelligence Index, it generated 110M tokens, which is somewhat verbose in comparison to the median of 82M. Pricing for Gemini 4 Argon (High) is $2.00 per 1M input tokens (moderately priced, median: $2.00) and $10.00 per 1M output tokens (moderately priced, median: $10.00). On average, it costs $1.99 per task to evaluate Gemini 4 Argon (High) on the Intelligence Index. Technical specifications This page shows the reasoning version of this model. A non-reasoning variant may also exist. Supports: text and image Supports: text 223 models in this class Metrics are compared against models of the same class: Non-reasoning models → compared only with other non-reasoning models Reasoning models → compared across both reasoning and non-reasoning Open weights models → compared only with other open weights models of the same size class: Tiny: ≤4B parameters Small: 4B–40B parameters Medium: 40B–150B parameters Large: >150B parameters Proprietary models → compared across proprietary and open weights models of the same price range, using a blended 3:1 input/output price ratio: <$0.15 per 1M tokens $0.15–$1 per 1M tokens >$1 per 1M tokens Highlights Intelligence Speed Cost per Task IntelligenceUpdated Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. Artificial Analysis Intelligence Index by Open Weights / Proprietary Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. Open Weights Indicates whether the model weights are available. Models are labelled as 'Commercial Use Restricted' if commercial use is limited by conditions, and as 'Non-commercial' if the license prohibits commercial use. Capability Indexes Measures the performance of models on specific capabilities and industries Artificial Analysis Finance & Accounting Index Benchmarks Intelligence Evaluations Agentic knowledge work, (Elo-500)/2000 Agentic real-world work tasks, (Elo-500)/2000 Agentic SaaS workflows Agentic coding & terminal use Coding Reasoning & knowledge Professional document reasoning, All-pass Physics reasoning Knowledge 1 - hallucination rate Long context reasoning Legal agentic work, criterion pass rate Agentic business operations Agentic scientific research workflows in a terminal Quantitative analysis on spreadsheets & documents Kubernetes incident root-cause analysis Visual reasoning Medical long context reasoning Intelligence Evaluation Relevance While model intelligence generally translates across use cases, specific evaluations may be more relevant for certain use cases. Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. AA-Briefcase v1.1Updated AA-Briefcase Elo AA-Briefcase Elo AA-Briefcase Elo is a combined metric that aggregates analytical quality Elo, presentation Elo, and rubric pass rate, with rubric performance converted into Elo via synthetic head-to-head matches. Elo and 95% confidence interval bounds are clamped at 0. AA-Omniscience AA-Omniscience Index AA-Omniscience Index AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Cost per Intelligence Index Task Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight. Artificial Analysis Intelligence Index Artificial Analysis Intelligence Index v4.3.2 includes: AA-Briefcase v1.1, GDPval-AA v2.1, AutomationBench-AA, Terminal-Bench 4.0, SciCode, Humanity's Last Exam, GDP.pdf, CritPt, AA-Omniscience, AA-LCR v1.1. See Intelligence Index methodology for further details, including a breakdown of each evaluation and how we run them. Token Use Output Tokens per Intelligence Index Task Output Tokens per Intelligence Index Task The number of tokens required per Intelligence Index task. This is calculated by multiplying the output tokens per eval by the relative weights of each benchmark in the Intelligence Index, then dividing by task count (excluding repeats). Cost Cost per Intelligence Index Task Cost per Intelligence Index Task Weighted average cost per Intelligence Index task. Each evaluation’s cost is calculated from input, cache hit, cache write, reasoning, and answer token prices, divided by task count, and weighted by its Intelligence Index weight. Cost to Run Artificial Analysis Intelligence Index Cost to Run Artificial Analysis Intelligence Index The cost to run the evaluations in the Artificial Analysis Intelligence Index, calculated using the model's input, cache hit, cache write, reasoning, and answer token prices and the number of tokens used across evaluations (excluding repeats). Pricing: Cache Hit, Input, and Output Cache Hit Price per token for cached prompts (previously processed), typically offering a significant discount compared to regular input price, represented as USD per million tokens. The values shown here are the cache hit price; cache write and cache storage are billed separately and vary by provider — see "Cache pricing by provider" for detail. Context Window Context Window Context Window for RAG Larger context windows are relevant to RAG (Retrieval Augmented Generation) LLM workflows which typically involve reasoning and information retrieval of large amounts of data. Context Window Maximum number of combined input & output tokens. Output tokens commonly have a significantly lower limit (varied by model). Frequently Asked Questions Common questions about Gemini 4 Argon (High) When was Gemini 4 Argon (High) released? Gemini 4 Argon (High) was released on September 30, 2026. Who created Gemini 4 Argon (High)? Gemini 4 Argon (High) was created by Google. How intelligent is Gemini 4 Argon (High)? Gemini 4 Argon (High) scores 53 on the Artificial Analysis Intelligence Index, placing it well above average among other reasoning models in a similar price tier (median: 26). How much does Gemini 4 Argon (High) cost? Gemini 4 Argon (High) costs $2.00 per 1M input tokens (better than average, median: $2.00) and $10.00 per 1M output tokens (better than average, median: $10.00), based on Google's API. What is Gemini 4 Argon (High) API pricing? Gemini 4 Argon (High) costs $2.00 per 1M input tokens and $10.00 per 1M output tokens (based on Google's API). For a blended rate (7:2:1 cache hit/input/output ratio), this is $1.47 per 1M tokens. Pricing may vary by provider. Compare provider pricing How verbose is Gemini 4 Argon (High)? When evaluated on the Intelligence Index, Gemini 4 Argon (High) generated 110M output tokens, which is somewhat higher than average compared to other reasoning models in a similar price tier (median: 82M). Is Gemini 4 Argon (High) a reasoning model? Yes, Gemini 4 Argon (High) is a reasoning model. It uses extended thinking or chain-of-thought reasoning to work through complex problems before providing an answer. What input modalities does Gemini 4 Argon (High) support? Gemini 4 Argon (High) supports text and image input. What output modalities does Gemini 4 Argon (High) support? Gemini 4 Argon (High) supports text output. Can Gemini 4 Argon (High) process images? Yes, Gemini 4 Argon (High) supports image input and can analyze, describe, and answer questions about images. Is Gemini 4 Argon (High) multimodal? Yes, Gemini 4 Argon (High) is multimodal. It can process text and image input and generate text output. What is the context window of Gemini 4 Argon (High)? Gemini 4 Argon (High) has a context window of 1.0M tokens. This determines how much text and conversation history the model can process in a single request. Is Gemini 4 Argon (High) open source? No, Gemini 4 Argon (High) is proprietary. The model weights are not publicly available. How many parameters does Gemini 4 Argon (High) have? Gemini 4 Argon (High) is a proprietary model and Google has not disclosed the model size or parameter count. How does Gemini 4 Argon (High) perform on benchmarks? Gemini 4 Argon (High) achieves a score of 53 on the Artificial Analysis Intelligence Index. This composite benchmark evaluates models across reasoning, knowledge, mathematics, and coding. Is Gemini 4 Argon (High) available via API? Yes, Gemini 4 Argon (High) is available via API through 1 provider. Compare API providers Where can I use Gemini 4 Argon (High)? Gemini 4 Argon (High) is available through 1 API provider. Compare providers