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MiniMax M2.5 vs DeepSeek V4

Comprehensive comparison between MiniMax's MiniMax M2.5 and DeepSeek's DeepSeek V4. Compare pricing, performance, features, and user reviews.

minimax vs deepseekminimax vs deepseek v4chinese ai comparison国产模型对比

MiniMax M2.5

MiniMax

MiniMax's flagship model with exceptional agentic capabilities at ultra-low cost. Demonstrates outstanding planning and stable execution of complex tool-calling tasks. One of the most capable AI agents available at a fraction of Claude/GPT pricing.

$0.3/$2.4per M tokens
Details

DeepSeek V4

DeepSeek

DeepSeek V4 (released 2026-04-24) ships two MIT-licensed MoE variants: V4-Pro (1.6T/49B active) and V4-Flash (284B/13B active), both with 1M-token context and hybrid Compressed Sparse Attention + Heavily Compressed Attention. Three reasoning modes (Non-think / Think High / Think Max). V4-Pro uses only 27% of V3.2's FLOPs and 10% of its KV cache at 1M context. Priced well below GPT-5.5 / Opus 4.7 while matching them on most benchmarks.

$1.74/$3.48per M tokens
Details

Specs Comparison

SpecificationMiniMax M2.5DeepSeek V4
Context Window197K1000K
Max Output32K66K
Input (per 1M tokens)$0.30$1.74
Output (per 1M tokens)$2.40$3.48
Reasoning
Open Source

Scenario Score Comparison

MiniMax M2.5

Pros

  • + Extremely cheap ($0.20/1M input)
  • + Strong tool calling & function calling
  • + 197K context window
  • + Excellent agentic performance
  • + Supports Shell, Browser, Python, MCP

Cons

  • − Less known in Western markets
  • − Documentation mainly in Chinese
  • − Smaller ecosystem than Claude/GPT
  • − Rate limits on free tier

DeepSeek V4

Pros

  • + 1M token context window with aggressive KV-cache compression
  • + MIT license — fully open-source, self-hostable
  • + V4-Pro $1.74/$3.48 per MTok — far cheaper than GPT-5.5 and Opus 4.7
  • + New SOTA for open models on SimpleQA-Verified (57.9)
  • + OpenAI + Anthropic API-compatible endpoints
  • + Three reasoning modes tunable per request

Cons

  • − Still trails GPT-5.4 / Gemini 3.1 Pro by 3-6 months on frontier benchmarks
  • − Servers in China (overseas latency, geopolitical concerns)
  • − Text-only — V3's multimodal (image/video) capability not confirmed for V4
  • − V4-Pro self-hosting needs substantial hardware (49B active × FP4/FP8)

Recommendation

Choose MiniMax M2.5 if you:

  • • Need extremely cheap ($0.20/1m input)
  • • Need strong tool calling & function calling
  • • Need 197k context window

Choose DeepSeek V4 if you:

  • • Need 1m token context window with aggressive kv-cache compression
  • • Need mit license — fully open-source, self-hostable
  • • Need v4-pro $1.74/$3.48 per mtok — far cheaper than gpt-5.5 and opus 4.7

Based on scores across 0 scenarios, both models perform equally well.

MiniMax M2.5 Details DeepSeek V4 Details

Get Started with MiniMax M2.5

1Visit the provider's website
2Create an account
3Start using the model

Get Started with DeepSeek V4

1Visit the provider's website
2Create an account
3Start using the model

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