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: 27). When evaluating the Intelligence Index, it generated 110M tokens, which is somewhat verbose in comparison to the median of 85M.
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. |
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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
Speed
Intelligence
Artificial Analysis Intelligence Index
Artificial Analysis Intelligence Index by Open Weights / Proprietary
Intelligence Index vs. Cost per Intelligence Index Task
Measures the performance of models on specific capabilities and industries
Artificial Analysis Finance & Accounting Index
Intelligence Evaluations
Agentic knowledge work, (Elo-500)/2000
Knowledge
1 - hallucination rate
Agentic SaaS workflows
Agentic real-world work tasks, (Elo-500)/2000
Reasoning & knowledge
Professional document reasoning, All-pass
Agentic coding & terminal use
Long context reasoning
Coding
Physics reasoning
Agentic scientific research workflows in a terminal
Agentic software engineering in open-source repositories
Quantitative analysis on spreadsheets & documents
Legal agentic work, Hallucination-Gated All-Pass Rate
Agentic business operations
Kubernetes incident root-cause analysis
Medical long context reasoning
Visual 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 models in a similar price tier (median: 27).
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
When evaluated on the Intelligence Index, Gemini 4 Argon (High) generated 110M output tokens, which is somewhat higher than average compared to other models in a similar price tier (median: 85M).
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 4 providers. Compare API providers
Gemini 4 Argon (High) is available through 4 API providers. Compare providers