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MODEL · TEXT

DeepSeek V3: cost-efficient general reasoning with a 128K-token context window.

DeepSeek V3 is a capable text model that combines a 128K-token context window with function-calling support — making it a practical choice for coding assistance, long-document analysis, and agent workflows where cost efficiency matters. Access it inside AresGen without managing separate API credentials or rate limits.

Provider
DeepSeek
Capability
text
Context window
128K tokens
Modalities
text
Function calling
Yes
Release
2024-12
Access
Routed via AresGen

Strengths

What DeepSeek V3 brings to your workflows

Available in

Use DeepSeek V3 inside these AresGen tools

When to pick DeepSeek V3 over Llama 3.1 405B

DeepSeek V3 is a hosted, API-accessible model routed through AresGen with no infrastructure overhead; Llama 3.1 405B is an open-weight model that gives you full self-hosting control at the cost of more operational complexity. Choose DeepSeek V3 when you want a capable 128K-context model without managing your own deployment. Choose Llama 3.1 405B when data sovereignty or on-premise deployment requirements drive the decision.

  • Llama 3.1 405B

    Prefer Llama 3.1 405B when you need an open-weight model you can self-host for data privacy or on-premise requirements.

Frequently asked

DeepSeek V3 supports a 128K-token context window, as documented in the DeepSeek-V3 GitHub repository. That is enough for large codebases, lengthy documents, or extended multi-turn conversations in a single request.
Yes — function calling is documented in the DeepSeek-V3 repository for the instruct variant. AresGen routes those calls transparently so you can build tool-using agents without managing the API directly.
No. DeepSeek V3 is a text-in, text-out model. It does not accept image input. If your workflow requires vision input, consider Claude Opus 4.7 or Gemini Pro 2.5, which are available in AresGen.
DeepSeek V3 is built by DeepSeek, an AI research organization. AresGen routes your requests to the model so you can access it from your existing workspace without separate credentials.

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