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DeepSeek V3.2 Exp vs Gemma 3n 4B

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 Gemma 3n 4B.

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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Google

Gemma 3n 4B

Gemma 3n E4B-it is optimized for efficient execution on mobile and low-resource devices, such as phones, laptops, and tablets. It supports multimodal inputs—including text, visual data, and audio—enabling diverse tasks...

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Technical Specifications

SpecificationDeepSeek V3.2 ExpGemma 3n 4B
ProviderDeepSeekGoogle
Context Window163,840 tokens32,768 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-09-292025-05-20

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3.2 Exp

$0.27

Gemma 3n 4B

$0.06

Output Price per Million Tokens

DeepSeek V3.2 Exp

$0.41

Gemma 3n 4B

$0.12

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.

Gemma 3n 4B Quirks & Gotchas

No developer gotchas reported.