GoKawiilGoogle's Gemini 4 Argon (High) scores 53 on Artificial Analysis Intelligence Index
Artificial Analysis benchmarked Gemini 4 Argon (High), a model that accepts text and image input and outputs text with a 1M token context window. It scored 53 on the firm's Intelligence Index, well above the median of 26, while using 110M tokens during evaluation versus a median of 82M. Pricing is set at $2.00 per 1M input tokens and $10.00 per 1M output tokens, both matching the median for comparable models.
GoKawiil's interpretation of the reporting above, not reported fact.
A high intelligence score at roughly median pricing suggests Gemini 4 Argon (High) could offer strong value relative to competing models, according to Artificial Analysis's benchmark data. However, its relatively high token usage during evaluation indicates it may be more verbose than peers, which could affect real-world cost efficiency despite matching per-token pricing. Buyers weighing capability against cost may find this combination of above-average intelligence and standard pricing notable.
- Gemini 4 Argon (High) scored 53 on the Artificial Analysis Intelligence Index, double the median of 26.
- It used 110M tokens during evaluation, more than the 82M median, indicating relative verbosity.
- Pricing of $2.00 per 1M input and $10.00 per 1M output tokens matches the market median.
Source: artificialanalysis.ai, 2026-09-30
Published there as: “Gemini 4 Argon (High): Intelligence, Performance and Price Analysis”
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