DeepSeek-V4-Pro / V4-Flash
DeepSeekDeepSeek-V4-Pro and V4-Flash are open-weight mixture-of-experts language models with a one-million-token context window. V4-Pro has 1.6T total parameters (49B active) and V4-Flash has 284B (13B active). Both are published on Hugging Face by DeepSeek.
V4-Pro is scored separately in the base-pretrained category; this record scores the V4-Flash sibling, a 284B mixture-of-experts model with 13B active parameters.
Openness
3 high confidence- weights
- open(MIT, on HF)
- data
- closed
- code
- partial(inference/serving
- license
- MIT(OSI-style permissive, no use restrictions)
V4-Flash ships MIT-licensed weights, matching the V4-Pro flagship, but the training data stays closed and only inference and serving code is public. That keeps it an open-weights release rather than open source, the same class as V4-Pro.
- https://huggingface.co/api/models/deepseek-ai/DeepSeek-V4-Flash recorded 2026-09-29
Hugging Face model API: "gated":false and the tag "license:mit"; repository files include "inference/model.py" and "inference/generate.py" and "encoding/encoding_dsv4.py" but no training code, data or dataset files.
- https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash/raw/main/README.md recorded 2026-09-29
README License section: "This repository and the model weights are licensed under the [MIT License](LICENSE)."; front matter "license: mit". Searched the body for training data release, dataset and training code: none; it describes the post-training pipeline and points only to the "encoding" and "inference" folders for running the model.
Adoption
4 high confidenceAdoption is read from Hugging Face downloads on V4-Flash, which land in the same range as the declared V4-Pro repository, so the reading holds regardless of which sibling is used.
- https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash recorded 2026-08-13
2,213,519 downloads in the trailing 30 days
Capability
4 medium confidenceV4-Flash scores near the frontier on DeepSeek's own benchmarks (MMLU-Pro 86.2, LiveCodeBench 91.6), figures reported on its Hugging Face model card. It is deliberately the lighter, faster sibling of the higher-scoring V4-Pro flagship, so Flash trails Pro rather than matching it.
- https://huggingface.co/deepseek-ai/DeepSeek-V4-Flash/raw/main/README.md recorded 2026-09-29
Model table lists "DeepSeek-V4-Flash | 284B | 13B | 1M | FP4 + FP8 Mixed"; instruct comparison row "MMLU-Pro (EM) | 83.0 | 86.4 | 86.2"; "LiveCodeBench (Pass@1) | 55.2 | 88.4 | 91.6"; "MRCR 1M (MMR) | 37.5 | 76.9 | 78.7"; "SWE Verified (Resolved) | 73.7 | 78.6 | 79.0"; base table "HumanEval (Pass@1) | 0-shot | 62.8 | 69.5 | **76.8**".
Verified 2026-09-29, except some scores, still awaiting re-confirmation