DeepSeek

DeepSeek · China · Language & multimodal
China Open weightsIndependent test
Showing version: DeepSeek-V3.2 · 2025-12-01 · Version lineage ↓
DeepSeek-V3.2DeepSeek-V3.2-ExpDeepSeek-V3.1DeepSeek-R1DeepSeek-V3DeepSeek-V2
01

Overview

DeepSeek is a family of large language models known for MoE architecture and open weights, with the V3 line for general use and the R1 line for reasoning.

Context length163,840 tokensInput$0.26 USD / 1M tokensRelease date2025-12-01
02 / Provenance

Field checks and source notes

When sources disagree on a field, every reading is listed here with its own citation. We do not take a midpoint, invent a missing figure, or decide which side is right — follow the citation and judge for your case.

These field-level notes are recorded verbatim in Chinese in the source data. Open the Chinese version

03 / Plain layer

Plain-language benchmarks

Coding 70%mini-SWE-agent (bash only), high setting, run date 2026-02-17 as listed on source page
Memory 163,840 tokens
Model size Not disclosed
Price / free $0.26 / $0.38 USD / 1M tokens
04

Practical facts

Context length163,840 tokens
Max outputNot disclosed
ParametersNot disclosed
Input$0.26 USD / 1M tokens
Output price$0.38 USD / 1M tokens
CNYNot disclosed
Free tierNot disclosed
Output speedNot disclosed
Release date
LicenseNot disclosed
Show technical data

Technical benchmark table

This model is evaluated per reasoning tier; available tiers: non-reasoning / reasoning. Each row below shows the highest tier measured for that benchmark. Tier switching happens on the compare page.

BenchmarkScoreMax / unit Source typeSourceTest dateConditions
SWE-bench Verified
swe-bench-verified
70% percent / 100 Independent test Tierhigh
05

Version lineage

Back to family page →
VersionRelease dateStatus OpennessParametersWhat changed Detail
DeepSeek-V3.2Showing version Active Open weights Not disclosed TBD Detail
DeepSeek-V3.2-Exp Active Open weights Not disclosed TBD Detail
DeepSeek-V3.1 Active Open weights Not disclosed TBD Detail
DeepSeek-R1 Active Open weights Not disclosed TBD Detail
DeepSeek-V3 Active Open weights Not disclosed TBD Detail
DeepSeek-V2 Active Open weights Not disclosed TBD Detail

Last updated: · Sources on detail page

06 / Compare

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