Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Context Window 8k
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 80/100, Llama 3.1 70B (via routing) outperforms Gemma 2 9B Instruct by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (via routing)
Gemma 2 9B Instruct
Context Window
128K 8k
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)
60 RPM 300 Requests / hour
Daily Limit
Credit-based Dependent on global load
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
⚡ Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
70B 9B
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • Serverless Inference
  • Instant Model Loading
  • Text Generation

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