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DeepSeek V3 0324 vs MiniMax M2

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 MiniMax M2.

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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MiniMax

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,...

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Technical Specifications

SpecificationDeepSeek V3 0324MiniMax M2
ProviderDeepSeekMiniMax
Context Window163,840 tokens204,800 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelself hostablemanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-03-242025-10-23

API Pricing Comparison

Input Price per Million Tokens

DeepSeek V3 0324

$0.24

MiniMax M2

$0.26

Output Price per Million Tokens

DeepSeek V3 0324

$0.90

MiniMax M2

$1.02

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.

MiniMax M2 Quirks & Gotchas

No developer gotchas reported.