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Documentation Index

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DeepSeek’s V3 family redefines the cost-to-intelligence ratio using a 671B parameter Mixture-of-Experts architecture. DeepSeek V3 sets a new standard for efficient coding and STEM reasoning, while DeepSeek V3.1 (Infercom) builds on that foundation with a hybrid thinking mode and EU-hosted infrastructure via Infercom. Neither model supports image input, making both ideal for text and document-heavy workflows.

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About

DeepSeek V3 is a 671B parameter Mixture-of-Experts model that has set a new industry standard for efficiency. Its innovative Multi-head Latent Attention (MLA) architecture delivers frontier-class coding and math performance at a fraction of the hardware cost. It is widely regarded as the best model for developers who need maximum reasoning power at the lowest possible price.
DeepSeek V3 does not support image inputs. Use it for text, code, and document-based tasks.

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Key Capabilities

Mathematical Proofs

Outperforms most frontier models on the AIME and MATH-500 benchmarks for complex symbolic reasoning.

Cybersecurity Awareness

Highly effective at identifying vulnerabilities in C++, Rust, and Python codebases.

Consistent Logic

Delivers highly consistent reasoning across all query types, reducing unexpected output drift.

Fast Response

Efficient decoding architecture accelerates response times without losing precision.

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Use Cases

  • Low-cost coding agents — Build production-grade code generators and automation pipelines with minimal per-task cost.
  • STEM research — Solve complex engineering problems and symbolic math equations at scale.
  • Bulk data transformation — Reformat and clean massive datasets with structural precision.
  • Document analysis — Extract structured information from dense technical or legal documents.
DeepSeek V3 is your best choice when you need strong logic and coding ability at the lowest token cost. For EU-hosted deployments or hybrid thinking modes, use DeepSeek V3.1 (Infercom).

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Specifications

SpecificationValue
Model ProviderDeepSeek
Main Use CasesHigh-Efficiency Agents, STEM, Bilingual Logic
Reasoning EffortAdaptive (Non-Thinking / Thinking)
GPQA Diamond80.7%
Max Context128K – 164K Tokens
Latency (TTFT)0.41s
Throughput74 Tokens/sec