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llm-Gemini 0.35

原文标题 · llm-gemini 0.35

发布:llm-gemini 0.35我为llm-gemini添加了对新Gemini 4 Argon型号的支持,该型号今天通过Gemini API提供,并适用于每月100美元订阅计划的客户。这是低鹈鹕、中鹈鹕和高鹈鹕。正如预期的那样,它们都很出色:双子座在生产出色的SVG方面有着良好的记录,而且是我所知道的唯一一个他们的员工专门投资于SVG的实验室(而且他们以前也曾吹嘘过他们的鹈鹕。)这是“高”插图

来源:Simon Willison · simonwillison.net

正文为英文,可一键机器翻译(仅首次需要等待)

Simon Willison’s Weblog

I added support to llm-gemini for the new Gemini 4 Argon model, made available today via the Gemini API and for customers of their $100/month subscription plan.

Here are the low, medium and high pelicans . As expected, they are all excellent: Gemini has a track record of producing great SVGs, and are the only lab where I know their staff have invested in SVG specifically (and who have boasted about their pelicans before.)

Here's the "high" illustration, which cost me 17.166 cents:

The pricing is interesting. At launch, Argon is $2/million input and $10/million output - the same price as GPT-6 Sol, half the price of Claude Opus 5.5 and 1/5th the price of Claude Fable 5.1 and GPT-6 Astra.

But on December 1st Argon is set to double in price - so it will be the same price as Opus 5.5.

Prices like this aren't really comparable these days since what really matters is how many tokens a model takes to achieve a goal within an agentic harness.

One useful clue for that comes from Artificial Analysis, who publish the total cost to run their benchmark using each model. Argon is looking very good there - costing $2,407 to run the benchmark, putting it close to GLM-5.3 and significantly cheaper than OpenAI, Anthropic, and Meta's latest models.

When the price doubles it will still be a little cheaper than GPT-6 Astra.

(I used ChatGPT to edit that chart ! The data is all correct, I checked - I needed to get that Gemini 4 Argon info box to display without overlapping the other numbers.)

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