AI Model Timeline

Tracking the accelerating release frequency of frontier AI models.

DeepSeek-V3

DeepSeek·

LLMsopen-weightcloud + localFrontier

Overview

Latest iteration with improved benchmarks.

Capabilities and innovations

SOTA Open WeightsFP8 TrainingMulti-token predictionFP8 TrainingMulti-token PredictionAuxiliary Loss-Free Load Balancing

Benchmarks

BenchmarkScoreSource
GPQA Diamond59.1%unsourced
Humanity’s Last Exam (no tools)11.8%unsourced
SWE-bench Verified42%unsourced
MMLU88.5%unsourced
  • SWE-bench Pro: benchmark did not exist at release
  • MMLU-Pro: benchmark did not exist at release
  • Terminal-Bench 2.x: benchmark did not exist at release
  • MMMU-Pro: benchmark did not exist at release

Architecture and hardware

Parameters
671B total, 37B active per token (MoE)
Estimated VRAM at Q4
~386 GB, Frontier class

Links

More from DeepSeek

Data curated by AI Model Timeline. See the methodology for admission criteria, benchmark eras and source priority.