Gemini 4 Argon (High): Intelligence, Performance and Price Analysis
What happened
Google's Gemini 4 Argon (High) model scores 50 on the Artificial Analysis Intelligence Index, placing it above the median of comparable models. It supports text and image input, outputs text, and offers a 1 million token context window. Pricing is $2.00 per 1M input tokens and $10.00 per 1M output tokens, averaging $4.97 per Intelligence Index task. The model is notably slow, taking 29.9 minutes per task versus a 12.9‑minute median, and generates 113 million tokens, which is more verbose than the 77.3 million median.
Why it matters
For users, the model provides strong intelligence at a moderate price but may increase costs and latency for tasks that require quick responses. Its verbosity and speed could affect productivity in time‑sensitive applications.
Reality check
An automated, sceptical read of the sourceIncremental. The model improves intelligence and maintains price parity but offers slower performance and higher token output, representing a modest advance rather than a breakthrough.
Is this a big deal?
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