Arena Analysis: Agent Arena Cost per Task: GPT-6.1 Sol at $1.91
Arena's statistics on Agent Arena show that OpenAI's GPT-6.1 Sol (Max) costs $1.91 per task, 85% less than Claude Opus 5.5 (Max) at $12.51 and 87% less than GPT-6 Astra (Max) at $14.93. Arena notes that the sources of these two cost advantages differ: relative to Astra, Sol's advantage comes mainly from a lower token unit price; relative to Opus, it comes mainly from consuming fewer tokens per task. Cost per task is calculated by multiplying the number of input, output, and cache-read tokens by their respective unit prices, and Arena pinpoints the causes of cost reductions by comparing prices and token usage.
Why read this
AI score 60
The original article breaks down the components of cost per task, explaining that a low price can stem either from a lower token unit price or from lower token consumption.
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Body
Lower cost per task doesn’t always come from lower token prices.
On Agent Arena, GPT-6.1 Sol (Max) by @OpenAI costs $1.91 per task: - 85% less than #1 Claude Opus 5.5 (Max) by @AnthropicAI at $12.51 - 87% less than #3 GPT-6 Astra (Max) by @OpenAI, at $14.93
But these savings come from different places.
Against Astra, Sol’s cost advantage comes primarily from lower token prices. Against Opus, it comes primarily from using fewer tokens per task.
How do we derive this?
Agent Arena tracks real costs of users’ tasks. Cost per task is the tokens a model uses times the price of each token, across input, output and cache-read tokens. By comparing pricing and token counts, we can identify what drives the cost reductions.