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DeepSeek V3 0324 vs Gemma 4 31B

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 0324 and Gemma 4 31B.

DeepSeek

DeepSeek V3 0324

DeepSeek V3, a 685B-parameter, mixture-of-experts model, is the latest iteration of the flagship chat model family from the DeepSeek team. It succeeds the [DeepSeek V3](/deepseek/deepseek-chat-v3) model and performs really well...

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Google

Gemma 4 31B

Gemma 4 31B Instruct is Google DeepMind's 30.7B dense multimodal model supporting text and image input with text output. Features a 256K token context window, configurable thinking/reasoning mode, native function...

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Technical Specifications

SpecificationDeepSeek V3 0324Gemma 4 31B
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 Date2025-03-242026-04-02

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3 0324

$0.24

Gemma 4 31B

$0.12

Output Price per Million Tokens

DeepSeek V3 0324

$0.90

Gemma 4 31B

$0.35

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 0324 Quirks & Gotchas

No developer gotchas reported.

Gemma 4 31B Quirks & Gotchas

No developer gotchas reported.