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DeepSeek-Coder-V2-Instruct

DeepSeek
open weights / Overall score: 3.0

Dedicated coding mixture-of-experts model, instruction-tuned for generation, completion and chat, built on a DeepSeek-V2 checkpoint with six trillion additional code tokens. It ships in a 236B-total variant with 21B active parameters and a 16B Lite variant, supports 338 programming languages and a 128K context.

A 2024-generation coder, superseded by the V3 and V4 lines.

Openness

3 high confidence
3.0
weights
open(downloadable on HF)
data
closed
code
open(MIT, repo code)
model-license
DeepSeek-Model-License(non-OSI

DeepSeek releases the inference code under MIT, and the weights download without a gate, but the DeepSeek Model License's Attachment A bars military, illegal and discriminatory use and binds derivatives to the same restriction. That limits conduct rather than commerce, keeping the model at open weights rather than restricted, though the unpublished training data keeps it short of fully open.

Adoption

3 high confidence
3.0

Adoption is measured as Hugging Face downloads summed across the two declared DeepSeek-Coder-V2 checkpoints, and nearly all of that volume goes to the smaller Lite variant rather than the 236B flagship. Later DeepSeek releases and 2026-generation coding models have drawn usage away from this line, and the flagship checkpoint in particular sees little continuing traffic.

Capability

3 medium confidence
3.0

DeepSeek's model card claims the model performs comparably to GPT-4 Turbo on code-specific tasks, and defers exact HumanEval, MBPP and SWE-bench numbers to the paper. It is a 2024-generation model and sits below current frontier coding models.

Verified 2026-09-27, except some scores, still awaiting re-confirmation