cost per task

GPT-6.1 Terra costs $1/$5 per million tokens, half of Sol, and scores 48 to Sol's 52 on Artificial Analysis. At max effort it uses twice the tokens, so run it at low or medium.

Muse Wonder costs the same $4/$20 per million tokens as Claude Opus 5.5 and scores 52 to its 58 on Artificial Analysis, but runs about a quarter cheaper per task and leads on Harvey's legal agent benchmark. Wonder Full is reachable only through Muse Code subscriptions that train on your code by default.

Gemini 4 Argon tops the Vals Index at $15.68 per test, cheaper than Claude Sonnet 5.5 and Opus 5.5 even at its $4/$20 standard price. But access is limited to Fairwind security teams and trusted testers, with no GA date.

GPT-6.1 Sol costs a fifth of GPT-6 Astra per token and ties it on coding, but trails it by 11 points on Terminal-Bench Science. It still wins on cost per solved task — if your failures are cheap.

Claude Sonnet 5.5 lists at half Opus 5.5's token price, but Artificial Analysis measured it at $7.60 per task at max effort against $3.46 for Opus at xhigh for the same score. It saves money only at low and high effort, and five breaking changes sit behind the model-ID swap.

GPT-6 Sol costs $2/$10 per million tokens, half GPT-5.6 Sol's promo rate, permanently. But OpenAI's headline evals ran at xhigh or max effort, and only one carries a dollar cost per task.

For a vendor portal with no API, script the flow in Playwright, run it on Browserbase if you need scale, and pay Claude Computer Use only for the step that breaks. As the primary executor, a screenshot agent costs about 30x more in tokens and still hands you an exception queue.

Claude Opus 5.5 cuts per-token prices 20% and cache reads 60%, but forced tool_choice and disabled thinking now return HTTP 400, the default effort drops to medium, and the 40% saving compares different effort levels.

Grok 4.7's per-token price didn't move. Its per-task cost did: up 47% at matched effort on Artificial Analysis's index, down 10% on Cursor's own benchmark. Price it on your workload.