SOTA models for teams
Use current state-of-the-art models without losing privacy and cost control.
2342.ai combines chat, workspaces, API access, model choice, budgets and billing. The live catalog shows available ChatGPT, Claude and Gemini versions. GLM 5.2 is available through the regional European endpoint. The in-product model catalog is always the source of truth for currently available versions.
Model families
Model choice should follow the work, not the subscription mess.
Instead of managing a separate account and API key for each model family, use the available models through one 2342.ai access. External data paths and GLM 5.2 are visibly distinguished in the catalog.
ChatGPT and strong reasoning models
For analysis, writing, code and structured work. Version identifiers from the model catalog remain visible.
Anthropic Claude for long context and coding
For teams working with large documents, software projects, reviews and demanding writing or analysis tasks.
Google Gemini for multimodal work
For text, image and long-context tasks. With external models, the data path depends on model, configuration and processing purpose.
GLM with inference in Europe
GLM 5.2 uses a regional European endpoint. We do not promise Germany-only processing or zero data retention for this data path.
More models in the live catalog
Kimi and additional model variants may also be available. The product catalog is the authoritative source for the current lineup.
OpenAI-style and Anthropic-style APIs
Existing integrations can connect with minimal changes. Budget checks and usage recording run through 2342.ai.
GDPR and operations
Not every model belongs in every data path.
Not every model is automatically suitable for every personal-data workflow. GLM 5.2 uses a regional European endpoint; for external models, purpose, data path and contractual basis must fit the task.
Choose a visible data path
The catalog labels GLM 5.2, so users can see the data path before chatting.
Choose models to fit your data
Check the processing region against your requirements before selecting a model.
DPA, subprocessors and deletion
B2B privacy needs documents, retention rules and clear data paths, not just a pretty model list.
Usage in one budget
Model usage and cost stay visible in 2342.ai instead of being split across provider bills.
How it becomes operations
From model hype to usable infrastructure.
Choose model and data path
Select GLM 5.2 or an external frontier model that fits the task.
Use workspace or API
Chat, research, files and existing integrations use the same 2342.ai access.
Measure usage and cost
Budget, selected model, API keys and consumption remain traceable.
No provider-account resale.
Customers receive access to the 2342.ai platform. For external models, the relevant providers may participate as technical infrastructure components and subprocessors. GLM 5.2 uses a regional European endpoint. We do not promise Germany-only processing or zero data retention for this data path.
Positioning
What to know before choosing a model.
Is 2342.ai an OpenAI, Claude or Gemini reseller?
No. Customers receive access to the 2342.ai platform. Third-party models may be used as technical infrastructure components for selected platform functions.
Are all models automatically GDPR-compliant?
No. Suitability depends on the data path, configuration, contract and processed data. GLM 5.2 is labeled accordingly in the catalog.
Can I connect existing tools?
Yes. OpenAI-style or Anthropic-style integrations can connect with minimal changes. Requests, budget checks and usage recording run through 2342.ai.
Which models are available today?
The in-product model catalog shows the current lineup and version identifiers. We deliberately avoid a static exhaustive list that becomes stale after the next model change.
Next step
Use current models through one access.
Start on the web or via API, choose the right data path and keep model usage and budget visible.