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DeepSeek V3.2 Exp vs o3 Deep Research

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for DeepSeek V3.2 Exp and o3 Deep Research.

DeepSeek

DeepSeek V3.2 Exp

DeepSeek-V3.2-Exp is an experimental large language model released by DeepSeek as an intermediate step between V3.1 and future architectures. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...

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OpenAI

o3 Deep Research

o3-deep-research is OpenAI's advanced model for deep research, designed to tackle complex, multi-step research tasks. Note: This model always uses the 'web_search' tool which adds additional cost.

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Technical Specifications

SpecificationDeepSeek V3.2 Expo3 Deep Research
ProviderDeepSeekOpenAI
Context Window163,840 tokens200,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-292025-10-10

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3.2 Exp

$0.27

o3 Deep Research

$10.00

Output Price per Million Tokens

DeepSeek V3.2 Exp

$0.41

o3 Deep Research

$40.00

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

DeepSeek V3.2 Exp Quirks & Gotchas

No developer gotchas reported.

o3 Deep Research Quirks & Gotchas

No developer gotchas reported.