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DeepSeek · DeepSeek
No. 26
DeepSeek-V3.2
Ultra-cheap open MoE with standout math and efficiency.
Field notes
- Context window
- 131Ktokens
- Max output
- 66Ktokens
- Input price
- $0.23/ 1M tokens
- Output price
- $0.34/ 1M tokens
- Cached input
- $0.03/ 1M tokens
- Modalities
- Text
- Knowledge cutoff
- Jul 2025
- Released
- Sep 2025
- Parameters
- 671B
- License
- MIT
- Approx. speed
- —
Overview
What this model is
DeepSeek-V3.2 is DeepSeek's V3-generation open-weight chat model (671B MoE, 37B active, MIT), which introduced DeepSeek Sparse Attention for efficient long-context inference. It delivers strong math and general reasoning at industry-low prices, with famously cheap cache hits. Now a generation behind the V4 line, it remains a high-value text-only workhorse rather than a frontier agentic coder.
Strengths
- Among the lowest prices in the industry
- Excellent math and reasoning value
- Sparse-attention efficiency at long context
- Very cheap cached input; MIT open weights
Trade-offs
- Superseded by the V4 generation on price and capability
- Agentic-coding reliability below the frontier
- Text-only, no vision
- English/Chinese-centric multilingual
Best for
- High-volume, cost-sensitive workloads
- Math and reasoning tasks
- Chat and summarization at scale
- Self-hosted deployments
Not ideal for
- Long-horizon autonomous agentic coding
- Multimodal tasks
Capabilities
Capability profile
Normalized 0–100 scores, comparable across the whole catalog.
- Reasoning
- 80
- Coding
- 63
- Math
- 88
- Writing
- 78
- Knowledge
- 82
- Speed
- 70
- Agentic
- 60
- Vision
- 5
- Multilingual
- 80
- Long Context
- 76
Benchmarks
How it scores
Public benchmark results, with independent third-party results where available. Bars normalize percentages to 100 and Elo ratings to a 1500 ceiling.
Independent index
Artificial Analysis Intelligence Index
Composite of ~9–10 independent evals · Artificial Analysis
25/ 100
BenchmarkResult
Artificial Analysis Intelligence Indexindependent
GeneralArtificial Analysis
25%
SWE-bench Verifiedindependent
CodingSWE-bench
73%
SWE-bench Proindependent
CodingSWE-bench Pro
15.6%
Aider Polyglotindependent
CodingAider
74.2%
τ-benchindependent
Agenticτ-bench
71.3%
MMLU-Pro
KnowledgeVendor-reported
85%
GPQA Diamondindependent
ReasoningIndependent aggregators
80%
AIME 2025
MathVendor-reported
89.3%
LiveCodeBenchindependent
CodingLiveCodeBench
49.2%
LMArena Eloindependent
GeneralLMArena
1455Elo