Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek-V4 Pro

A-TIER

DeepSeek

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

MiniMax M2.7

A-TIER

Groq

Intelligence Score 81/100
Context Window 196K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

MiniMax M2.7 Wins

With an intelligence score of 81/100 vs 80/100, MiniMax M2.7 outperforms DeepSeek-V4 Pro by 1 point.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek-V4 Pro
MiniMax M2.7
Context Window
128K 196K tokens
Architecture
Dense Transformer Transformer
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 30 RPM, 14.4k RPD
Daily Limit
Credit-based 14,400 Requests/Day
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Test
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

Similar Comparisons

DeepSeek-V4 Pro
vs
GPT-OSS 20B
MiniMax M2.7
vs
GPT-OSS 20B
DeepSeek-V4 Pro
vs
GPT-OSS Safeguard 20B
MiniMax M2.7
vs
GPT-OSS Safeguard 20B
DeepSeek-V4 Pro
vs
Qwen3 32B
MiniMax M2.7
vs
Qwen3 32B
MiniMax M2.7
vs
Qwen3.6 27B
MiniMax M2.7
vs
Allam 2 7B
MiniMax M2.7
vs
Llama 3.1 8B
MiniMax M2.7
vs
Llama 3.3 70B
MiniMax M2.7
vs
Llama 4 Maverick 17B
MiniMax M2.7
vs
Llama 4 Scout