DeepSeek V3

Name: DeepSeek V3
Author: DeepSeek

by DeepSeekDeepSeek V3

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released December 2024164K context≈ 122,880 words

DeepSeek V3 is a large mixture-of-experts model that punches well above its weight class for coding, math, and reasoning tasks. It's notably efficient at inference time despite its massive parameter count, activating only a fraction of its weights per token. The open-weight release makes it inspectable and self-hostable, though running it comfortably requires serious hardware.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Exceptional

Coding

DeepSeek V3

by DeepSeekDeepSeek V3

Open WeightModel weights are publicly available — can be downloaded and self-hosted

Released December 2024164K context≈ 122,880 words

DeepSeek V3 is a large mixture-of-experts model that punches well above its weight class for coding, math, and reasoning tasks. It's notably efficient at inference time despite its massive parameter count, activating only a fraction of its weights per token. The open-weight release makes it inspectable and self-hostable, though running it comfortably requires serious hardware.

Capabilities

Capability scores are AI-generated based on model documentation, benchmarks, and technical specifications. Learn more

Reasoning & Logic

Exceptional

Coding

Benchmark Scores

Benchmark	Score	Type	Recorded
HellaSwag	88.9	accuracy	5d ago
AIME 2024	39.2	accuracy	5d ago
SciCode	3.1	main_problem_pass@1	5d ago
Aider Polyglot	48.4	accuracy	5d ago
ARC-Challenge	95.3	accuracy	5d ago
WinoGrande	84.9	accuracy	5d ago

Glossary

InferenceThe process of running a trained model to generate predictions or outputs from new inputs.Inference TimeThe amount of time it takes for a model to process input and generate output after it has been trained.Parameter CountThe total number of adjustable weights in a model; more parameters generally mean more capacity to learn, but also require more computing power.ReasoningThe model's ability to work through multi-step logical problems and provide justified answers rather than just pattern-matching.Reasoning TasksProblems that require a model to think through multiple steps logically to arrive at an answer, rather than just pattern-matching.Self-HostableA model that can be downloaded and run on your own hardware or servers instead of relying on a company's cloud service.TokenA small unit of text (a word, subword, or punctuation mark) that a language model breaks input into for processing.WeightsThe numerical parameters inside a neural network that determine how it processes input and generates output.

Capabilities

Capabilities

Benchmark Scores

Use Case Fit

Glossary