DeepSeek
Frontier open and API models from DeepSeek. DeepSeek 的前沿开源与 API 模型。
Models in the tree
9 featured nodes · 3 other nodes (from DeepSeek ). (22 collapsed variants hidden from the graph)
Featured (graph/timeline)
- DeepSeek Coder V2 Lite Instruct — Jan 2026
- DeepSeek LLM 67B Chat (V1) — Jan 2026
- DeepSeek r1 distill qwen — Series — Jan 2026
- DeepSeek v4 — Series — Jan 2026
- DeepSeek V3.2 — Sparse Attention at Scale — Sep 2025
- DeepSeek R1 — Open-Weight Reasoning Model — Jan 2025
- DeepSeek V3 — 671B Open MoE at $5.5M Training Cost — Dec 2024
- DeepSeek-Coder V2 — Open Coding Frontier — Jun 2024
- DeepSeek-V2 — Open MoE with Multi-Head Latent Attention — May 2024
Series
DeepSeek deepseek-r
- DeepSeek r1 distill llama — Series — Jan 2026
DeepSeek deepseek-v
- DeepSeek-V2.5 (Dec '24) — Jan 2026
- DeepSeek V3.1 (Non-reasoning) — Jan 2026
All nodes (not on graph)
- DeepSeek r1 distill llama — Series — Jan 2026
- DeepSeek-V2.5 (Dec '24) — Jan 2026
- DeepSeek V3.1 (Non-reasoning) — Jan 2026
Benchmark snapshot
Best score within this company’s nodes (not a normalized cross-benchmark ranking).
- GPQA: 87.1% (73.8–87.1%) (from deepseek-v2-5)
- MMLU-Pro: 86.3% (83.6–86.3%) (from deepseek-v2-5)
- Speed · Output tok/s: 47 (from deepseek-r1-distill-llama)
- Coding · SciCode: 44.0% (37.7–44.0%) (from deepseek-v2-5)
- Coding · AA Coding Index: 36.70 (from deepseek-v2-5)
- Agentic · Terminal-Bench Hard: 35.6% (25.0–35.6%) (from deepseek-v2-5)
- Intelligence · AA Intelligence Index: 33.90 (from deepseek-v3-1)
- HLE: 26.1% (8.6–26.1%) (from deepseek-v2-5)
Official catalog (manual)
-
deepseek-v4-pro— DeepSeek-V4 Pro (Preview) — in tree -
deepseek-v4-flash— DeepSeek-V4 Flash (Preview) — in tree -
deepseek-reasoner— deepseek-reasoner (legacy alias → V4-Flash thinking) — in tree -
deepseek-chat— deepseek-chat (legacy alias → V4-Flash non-thinking) — in tree -
deepseek-r1-distill-llama-70b— DeepSeek R1 Distill Llama 70B — in tree -
deepseek-v4-flash-high— DeepSeek V4 Flash (Reasoning, High Effort) — in tree -
deepseek-v3-2— DeepSeek V3.2 (Non-reasoning) — in tree -
deepseek-v3-2-speciale— DeepSeek V3.2 Speciale — in tree -
deepseek-r1— DeepSeek R1 0528 (May '25) — in tree -
deepseek-v3-2-reasoning— DeepSeek V3.2 (Reasoning) — in tree -
deepseek-v4-pro-high— DeepSeek V4 Pro (Reasoning, High Effort) — in tree -
deepseek-r1-distill-qwen-32b— DeepSeek R1 Distill Qwen 32B — in tree -
deepseek-v3— DeepSeek V3 (Dec '24) — in tree -
deepseek-r1-distill-qwen-14b— DeepSeek R1 Distill Qwen 14B — in tree -
deepseek-v2-5— DeepSeek-V2.5 (Dec '24) — in tree -
deepseek-coder-v2— DeepSeek-Coder-V2 — in tree -
deepseek-r1-distill-llama-8b— DeepSeek R1 Distill Llama 8B — in tree -
deepseek-llm-67b-chat— DeepSeek LLM 67B Chat (V1) — in tree -
deepseek-r1-distill-qwen-1-5b— DeepSeek R1 Distill Qwen 1.5B — in tree -
deepseek-v3-0324— DeepSeek V3 0324 — in tree -
deepseek-v3-1-reasoning— DeepSeek V3.1 (Reasoning) — in tree -
deepseek-r1-0120— DeepSeek R1 (Jan '25) — in tree -
deepseek-v3-1-terminus— DeepSeek V3.1 Terminus (Non-reasoning) — in tree -
deepseek-v3-1— DeepSeek V3.1 (Non-reasoning) — in tree -
deepseek-v3-1-terminus-reasoning— DeepSeek V3.1 Terminus (Reasoning) — in tree -
deepseek-v2— DeepSeek-V2-Chat — in tree -
deepseek-v3-2-reasoning-0925— DeepSeek V3.2 Exp (Reasoning) — in tree -
deepseek-coder-v2-lite— DeepSeek Coder V2 Lite Instruct — in tree -
deepseek-v3-2-0925— DeepSeek V3.2 Exp (Non-reasoning) — in tree -
deepseek-v2-5-sep-2024— DeepSeek-V2.5 — in tree -
deepseek-r1-qwen3-8b— DeepSeek R1 0528 Qwen3 8B — in tree
Sources
Notes
This page is auto-assembled from nodes in the tree whose org matches one of the orgs above.