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DeepSeek V3.2 Exp vs Seed-2.0-Mini

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 Seed-2.0-Mini.

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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ByteDance

Seed-2.0-Mini

Seed-2.0-mini targets latency-sensitive, high-concurrency, and cost-sensitive scenarios, emphasizing fast response and flexible inference deployment. It delivers performance comparable to ByteDance-Seed-1.6, supports 256k context, four reasoning effort modes (minimal/low/medium/high), multimodal understanding,...

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Technical Specifications

SpecificationDeepSeek V3.2 ExpSeed-2.0-Mini
ProviderDeepSeekByteDance
Context Window163,840 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-292026-02-26

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3.2 Exp

$0.27

Seed-2.0-Mini

$0.10

Output Price per Million Tokens

DeepSeek V3.2 Exp

$0.41

Seed-2.0-Mini

$0.40

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.

Seed-2.0-Mini Quirks & Gotchas

No developer gotchas reported.