Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

MiniMax M2.7

A-TIER

Groq

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

Qwen3 235B A22B Instruct 2507

Nebius (Token Factory)

Intelligence Score 76/100
Context Window 256K Context
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 76/100, MiniMax M2.7 outperforms Qwen3 235B A22B Instruct 2507 by 5 points.

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

Detailed Comparison

Feature
MiniMax M2.7
Qwen3 235B A22B Instruct 2507
Context Window
196K tokens 256K Context
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~70-74%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM, 14.4k RPD 60 RPM
Daily Limit
14,400 Requests/Day Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 235B
Limitations
  • Test
  • $1 credit is small (good for testing)
  • Limited model selection compared to aggregators
  • Beta features may change
Key Strengths
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models
  • Nebius Studio: Interactive playground
  • OpenAI Compatibility: Easy swap
  • Cost Effective: Competitive pricing

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