llm-gemini 0.35 发布,新增 Gemini 4 Argon 支持
Release: llm-gemini 0.35
Simon Willison 为 llm-gemini 插件加入对 Gemini 4 Argon 的支持,该模型今日通过 Gemini API 及每月 100 美元订阅计划开放。Argon 上线定价为每百万输入 token 2 美元、每百万输出 token 10 美元,与 GPT-6 Sol 相同,是 Claude Opus 5.5 的一半,但 12 月 1 日起价格将翻倍。作者引用 Artificial Analysis 数据称,Argon 跑完其基准的总成本为 2407 美元,接近 GLM-5.3,明显低于 OpenAI、Anthropic 和 Meta 的最新模型。
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AI 评分 61
作者以插件维护者身份给出 Gemini 4 Argon 的接入情况、定价与基准成本,可据此判断其性价比位置。
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13th October 2026
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.)
Some bonus examples using Gemini 4 Argon: here's Generate an SVG of an armadillo in fishnet tights jaywalking on Mars, here's a Fabergé egg it created for me using Blender, and DeepMind staffer @fofrAI shared a video of a pelican riding a bike, using fourier epicycles. That's a fun new twist!
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This is a beat by Simon Willison, posted on 13th October 2026.
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