โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

DeepSeek V3.2 Exp vs Gemma 4 26B A4B

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 4 26B A4B.

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...

View Full Specs
Google

Gemma 4 26B A4B

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference โ€” delivering near-31B quality at...

View Full Specs

Technical Specifications

SpecificationDeepSeek V3.2 ExpGemma 4 26B A4B
ProviderDeepSeekGoogle
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 Date2025-09-292026-04-03

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3.2 Exp

$0.27

Gemma 4 26B A4B

$0.06

Output Price per Million Tokens

DeepSeek V3.2 Exp

$0.41

Gemma 4 26B A4B

$0.33

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 4 26B A4B Quirks & Gotchas

No developer gotchas reported.