DeepSeek V3
Redefining the cost-to-intelligence ratio with extreme MoE efficiency.
About the Model
DeepSeek V3 is a 671B parameter Mixture-of-Experts model that has set the 2026 industry standard for efficiency. Utilizing an innovative Multi-head Latent Attention (MLA) architecture, it delivers GPT-4.5 levels of coding and math performance at a fraction of the hardware cost. It is widely considered the best model for developers who need maximum logic for the lowest possible price.
Model Key Capabilities
Mathematical Proofs:
Outperforms most frontier models on the AIME and MATH-500 benchmarks.
Cybersecurity Awareness:
Highly effective at identifying vulnerabilities in C++, Rust, and Python codebases.
Extreme Inference Stability:
Zero rollbacks during training ensures highly consistent logic across all query types.
Efficient Decoding:
Uses multi-token prediction to accelerate response times without losing precision.
Applications & Use Cases
Low-Cost Coding Agents:
Building production-grade code generators for $0.001 per task.
STEM Research:
Solving complex engineering problems and symbolic math equations.
Bulk Data Transformation:
Reformatting and cleaning massive datasets with structural perfection.
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Model Specifications
General | |
|---|---|
Model Provider | DeepSeek |
Main Use Cases |
|
Intelligence | |
Reasoning Effort | Adaptive (Non-Thinking / Thinking) |
GPQA Diamond | 80.7% |
Memory | |
Max Context | 128K - 164K Tokens |
Speed | |
Latency (TTFT) | 0.41s |
Throughput | 74 Tokens/Sec |
