Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
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Yi Large

A-TIER

01.AI

Intelligence Score 86/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Commercial / Paid
Commercial/Paid Model

MiniMax M2.7

DEPRECATED

Groq

This model is no longer active/free — kept for reference.

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

Yi Large Wins

With an intelligence score of 86/100 vs 81/100, Yi Large outperforms MiniMax M2.7 by 5 points.

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

Detailed Comparison

Feature
Yi Large
MiniMax M2.7
Context Window
32K 196K tokens
Architecture
Transformer Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
10,000 RPM 30 RPM; 8K TPM on most chat models (varies by model)
Daily Limit
Based on tier 1,000 requests/day and 200K tokens/day on gpt-oss / Qwen (varies by model)
Capabilities
Function Calling Streaming JSON Mode
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • API key required
  • Rate limits apply
  • Pay-per-token pricing
  • Test
Key Strengths
  • Advanced reasoning
  • Code generation
  • Creative writing
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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