Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

Intelligence Score 80/100
Model Popularity 0 votes
Context Window 8k
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100
Context Window 128K
Pricing Model Commercial / Paid
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
Gemma 2 9B Instruct
Llama 3.1 70B (via routing)
Context Window
8k 128K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
300 Requests / hour 60 RPM
Daily Limit
Dependent on global load Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
9B 70B
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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