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

Google's Gemini 4 Argon (High), released September 30, 2026, scores 53 on the Artificial Analysis Intelligence Index, well above the median of 26 for comparable reasoning models, according to Artificial Analysis. The model supports text and image input and text output with a 1M-token context window, and is priced at $2.00 per 1M input tokens and $10.00 per 1M output tokens, with an average cost of $1.99 per task on the Intelligence Index. Evaluating the model generated 110M tokens, above the median of 82M.

Gemini 4 Argon High Intelligence, Performance & Price Analysis Model summary Speed 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. | Reasoning | Yes This page shows the reasoning version of this model. A non-reasoning variant may also exist. | |---|---| | Input modality | Supports: text and image | | Output modality | Supports: text | | Context window | 1M ~1500 A4 pages of size 12 Arial font | 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 Speed IntelligenceUpdated Artificial Analysis Intelligence Index https://artificialanalysis.ai/evaluations/artificial-analysis-intelligence-index Artificial Analysis Intelligence Index by Open Weights / Proprietary Measures the performance of models on specific capabilities and industries Artificial Analysis Finance & Accounting Index https://artificialanalysis.ai/models/capabilities/finance-and-accounting Intelligence Evaluations AA-Briefcase v1.1 https://artificialanalysis.ai/evaluations/aa-briefcase Updated Agentic knowledge work, Elo-500 /2000 GDPval-AA v2.1 https://artificialanalysis.ai/evaluations/gdpval-aa Updated Agentic real-world work tasks, Elo-500 /2000 AutomationBench-AA https://artificialanalysis.ai/evaluations/automationbench-aa Updated Agentic SaaS workflows Agentic coding & terminal use SciCode https://artificialanalysis.ai/evaluations/scicode Under review Coding Reasoning & knowledge GDP.pdf https://artificialanalysis.ai/evaluations/gdp-pdf New Professional document reasoning, All-pass CritPt https://artificialanalysis.ai/evaluations/critpt Under review 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 AA-Briefcase v1.1Updated AA-Briefcase Elo AA-Omniscience AA-Omniscience Index Intelligence Index Comparisons Intelligence Index vs. Cost per Intelligence Index Task Token Use Output Tokens per Intelligence Index Task Cost Cost per Intelligence Index Task Cost to Run Artificial Analysis Intelligence Index Pricing: Cache Hit, Input, and Output Context Window Context Window Frequently Asked Questions Common questions about Gemini 4 Argon High Gemini 4 Argon High was released on September 30, 2026. Gemini 4 Argon High was created by Google. 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 . 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. 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 https://artificialanalysis.ai/models/gemini-4-argon/providers 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 . 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. Gemini 4 Argon High supports text and image input. Gemini 4 Argon High supports text output. Yes, Gemini 4 Argon High supports image input and can analyze, describe, and answer questions about images. Yes, Gemini 4 Argon High is multimodal. It can process text and image input and generate text output. 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. No, Gemini 4 Argon High is proprietary. The model weights are not publicly available. Gemini 4 Argon High is a proprietary model and Google has not disclosed the model size or parameter count. 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. Yes, Gemini 4 Argon High is available via API through 1 provider. Compare API providers https://artificialanalysis.ai/models/gemini-4-argon/providers Gemini 4 Argon High is available through 1 API provider. Compare providers https://artificialanalysis.ai/models/gemini-4-argon/providers