Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 70B (via routing)

DEPRECATED

Requesty

This model is no longer active/free — kept for reference.

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
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This model is no longer active/free — kept for reference.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

Llama 3.1 70B (via routing) Wins

With an intelligence score of 87/100 vs 81/100, Llama 3.1 70B (via routing) outperforms MiniMax M2.7 by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (via routing)
MiniMax M2.7
Context Window
128K 196K tokens
Architecture
Transformer (Open Weight) Transformer
Est. MMLU Score
~80-84% ~75-79%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial 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
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
70B 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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