Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Phi-3.5 Mini

Ollama

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K tokens
Pricing Model Free / Open
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 65/100, MiniMax M2.7 outperforms Phi-3.5 Mini by 16 points.

Clear Winner: Significant performance advantage for MiniMax M2.7.
HEAD-TO-HEAD

Detailed Comparison

Feature
Phi-3.5 Mini
MiniMax M2.7
Context Window
128K tokens 196K tokens
Architecture
Transformer Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Hardware limited 30 RPM, 14.4k RPD
Daily Limit
Unlimited 14,400 Requests/Day
Capabilities
Reasoning
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
  • Test
Key Strengths
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

Similar Comparisons

Phi-3.5 Mini
vs
Llama 3.2 3B
MiniMax M2.7
vs
Llama 3.2 3B
Phi-3.5 Mini
vs
Gemma 2 9B
MiniMax M2.7
vs
Gemma 2 9B
Phi-3.5 Mini
vs
Mistral Nemo 12B
MiniMax M2.7
vs
Mistral Nemo 12B
MiniMax M2.7
vs
DeepSeek Coder V2
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
MiniMax M2.7
vs
Whisper Large v3