Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 3.8 27B

Cerebras

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K 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 Qwen 3.8 27B by 16 points.

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

Detailed Comparison

Feature
Qwen 3.8 27B
MiniMax M2.7
Context Window
128K 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)
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) 30 RPM, 14.4k RPD
Daily Limit
1M tokens/day 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
27B Undisclosed
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Test
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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