Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
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inclusionAI Ling 3.1 Flash

A-TIER

Requesty

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 262K Context
Pricing Model Free / Open
View Provider Analysis →

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This model is no longer active/free — kept for reference.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

inclusionAI Ling 3.1 Flash Wins

With an intelligence score of 83/100 vs 81/100, inclusionAI Ling 3.1 Flash outperforms MiniMax M2.7 by 2 points.

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

Detailed Comparison

Feature
inclusionAI Ling 3.1 Flash
MiniMax M2.7
Context Window
262K Context 196K tokens
Architecture
Transformer Transformer
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 RPM on free models (60 RPM for paying orgs) 30 RPM; 8K TPM on most chat models (varies by model)
Daily Limit
200 requests/day (new orgs) / 1,000/day (paying orgs), shared across free models 1,000 requests/day and 200K tokens/day on gpt-oss / Qwen (varies by model)
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps ⚡ Fast Chat & Apps
Model Size
Undisclosed Undisclosed
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • Test
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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