Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 70B (Fast)

DEPRECATED

Cerebras

This model is no longer active/free — kept for reference.

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Free / Open
View Provider Analysis →

GPT-4o (via routing)

DEPRECATED

Requesty

This model is no longer active/free — kept for reference.

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

GPT-4o (via routing) Wins

With an intelligence score of 92/100 vs 87/100, GPT-4o (via routing) outperforms Llama 3.1 70B (Fast) by 5 points.

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

Detailed Comparison

Feature
Llama 3.1 70B (Fast)
GPT-4o (via routing)
Context Window
8K 128K
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~80-84% ~85-87%
Release Date
Jul 2024 May-Nov 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) 60 RPM
Daily Limit
1M tokens/day 50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models
Capabilities
No specific data
Vision
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B ~1.8T (estimated)
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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