Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen3.5 397B A17B

Nebius (Token Factory)

Intelligence Score 65/100
Model Popularity 0 votes
Context Window Long context
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 Qwen3.5 397B A17B by 16 points.

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

Detailed Comparison

Feature
Qwen3.5 397B A17B
MiniMax M2.7
Context Window
Long context 196K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~60-64% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier 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
C-Tier (Good) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
397B Undisclosed
Limitations
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
  • Test
Key Strengths
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

Similar Comparisons

Qwen3.5 397B A17B
vs
Qwen3.5 72B Instruct
MiniMax M2.7
vs
Qwen3.5 72B Instruct
Qwen3.5 397B A17B
vs
MiniMax M3 (preview)
MiniMax M2.7
vs
MiniMax M3 (preview)
Qwen3.5 397B A17B
vs
Llama 3.1 70B
MiniMax M2.7
vs
Llama 3.1 70B
MiniMax M2.7
vs
Mistral Large
MiniMax M2.7
vs
Qwen 2.5 72B
MiniMax M2.7
vs
NVIDIA Nemotron 3.5 Lightning
MiniMax M2.7
vs
MiniMax M3
MiniMax M2.7
vs
DeepSeek V4 Flash (0731)
MiniMax M2.7
vs
NVIDIA Nemotron 3 Super 120B