In a few days, OpenAI, Google and Mistral announced or deployed new models: GPT-6 Sol and Luna, Gemini 4 Argon, and Mistral Large 4. Given this offer, it becomes difficult to know which tool to use to write, code, analyze documents or create content.
The right choice depends not only on the power of the model. It depends mainly on your need: writing, programming, research, work in French, security or budget.
GPT-6: two models for two uses
OpenAI launched GPT-6 Sol and GPT-6 Luna. Sol is intended for users looking for more capabilities, including professional work, code and complex tasks. Luna is designed for wider use, with reduced cost and extended accessibility to free offers.
In ChatGPT, Plus, Pro, Business and Enterprise subscribers access GPT-6 Sol, while Free and Go offers use GPT-6 Luna. OpenAI also states that it has reduced API prices for these models by 50% compared to its predecessors.
For who? GPT-6 is particularly suitable if you are already using ChatGPT, if you are producing content, if you need a versatile assistant or if you want to test the new features quickly.
Gemini 4 Argon: complex task orientation
Google unveiled Gemini 4 Argon, a border model for demanding tasks: software engineering, knowledge work, finance, law and cybersecurity.
Its access remains limited to launch. Google first reserved for trusted partners, including cybersecurity specialists, as part of its Fairwind program, before a gradual opening.
The model is designed to maintain thorough reasoning on complex and long-term tasks. This can be useful for analyzing a long document, following a complex project or producing structured work in several stages.
For who? Gemini 4 Argon seems especially interesting for companies, developers and professionals with advanced needs. For a blogger or individual user, it is still too early to make it the main tool.
Mistral Large 4: European Choice
Mistral launched Mistral Large 4 in public preversion on October 6, 2026. The French company presents it as a multimodal, generalist, open-weight model for companies, assistants, autonomous agents and professional use.
Mistral's particularity is its more open approach: the company announces that the weights of the model will be published shortly. This may be of interest to developers who want to host or customize an AI, without depending entirely on an online service.
For who? Mistral Large 4 can be a good choice if you work in French, if you are looking for a European alternative or if you are a developer and want more control over deployment.
Which model to choose?
| Main need | Model to be preferred |
|---|---|
| Writing, brainstorming, daily use | GPT-6 Luna |
| Professional work, code, advanced tasks | GPT-6 Soil |
| Long-term analysis, cybersecurity, complex projects | Gemini 4 Argon |
| French, European alternative, personalized deployment | Mistral Large 4 |
| Limited budget | GPT-6 Luna or Mistral, depending on available access |
The right reflex
Do not choose a model only because it is new. Test it on your own tasks: writing an article, summarizing a document, correcting a text, creating a plan, or writing code.
For most content creators, GPT-6 Luna will probably be the most convenient everyday. For advanced technical or professional needs, GPT-6 Soil and Gemini 4 Argon We need to be followed. Finally, Mistral Large 4 is a serious option for those who want to support the European ecosystem and keep more control over their tool.