Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

GPT-4o (via routing)

S-TIER

Requesty

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Llama 3.1 70B Instruct

A-TIER

Chutes.ai

Intelligence Score 88/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

GPT-4o (via routing) Wins

With an intelligence score of 92/100 vs 88/100, GPT-4o (via routing) outperforms Llama 3.1 70B Instruct by 4 points.

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

Detailed Comparison

Feature
GPT-4o (via routing)
Llama 3.1 70B Instruct
Context Window
128K 128K
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~85-87% ~80-84%
Release Date
May-Nov 2024 Jul 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM Varies (community capacity)
Daily Limit
Credit-based Subject to availability
Capabilities
Vision
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
~1.8T (estimated) 70B
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • Availability depends on community GPU donors
  • Speed varies with demand
  • Models may be temporarily unavailable
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • Community-powered GPU network
  • Free access to large open-source models
  • OpenAI-compatible API format

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