# Gemini 4 Argon (High): Intelligence, Performance and Price Analysis > Source: > Published: 2026-09-30 20:50:28+00:00 # 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)