Gemini 4 Argon: price, context window and capabilities
Gemini 4 Argon is a model from Google (google/gemini-4-argon). It supports reasoning. It supports tool use. It costs $2.00 per million input tokens and $10.00 per million output tokens, with a 1.0M-token context window.
What it costs in practice
Using the listed prices: a chat turn of 2,000 input and 500 output tokens costs about $0.0090, so 10,000 such turns cost about $90.00. Summarising a 100,000-token document into 2,000 tokens costs about $0.220. A long agent run that reads 1 million tokens and writes 50,000 costs about $2.50.
How it compares
Among the 40 models we track, Gemini 4 Argon ranks #29 by input price and #33 by output price (1 is cheapest), and #6 by context window (1 is largest). Models with the same tool and reasoning support that cost less per output token: DeepSeek V4.1 Flash ($0.144), GLM 5.3 Flash ($0.200), DeepSeek V4 Flash 0731 ($0.300), Qwen3.8 Omni Flash ($0.470). Models with a larger context window at the same or lower output price: Llama 4 Scout (1.3M), GPT-6.1 Sol Pro (1.1M), GPT-6.1 Sol (1.1M), GPT-6 Luna Pro (1.1M).
More from Google
- Nano Banana 2.1: $1.50 in / $7.50 out, 66K context
- Gemini 3.8 Flash: $0.825 in / $4.13 out, 1.0M context
- Gemini 3.7 Flash: $0.750 in / $3.75 out, 1.0M context
In the news
- Gemini 4 Argon climbs to #5 on Arena's agent board, Opus 5.5 holds #1 15 Oct 2026
- Gemini 4 Argon Lands with 1M Output Tokens and SOTA Enterprise Evals October 10, 2026
- Gemini 4 Argon Lands with 1M Output Tokens and Fairwind Cyber Defense Gating October 8, 2026
- Google Launches Gemini 4 Argon: 15% Hallucination Rate Ties GPT-6 Astra October 2, 2026
Prices and limits come from OpenRouter's public model catalogue, last synced 18 Oct 2026. Provider pricing can differ from OpenRouter's and changes often; confirm on the provider's own page before you commit. See the guide to choosing a model or the full comparison.
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