Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemma 2 9B Instruct

A-TIER

Hugging Face Inference

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

Llama 3.1 405B Instruct

S-TIER

DeepInfra

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

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 80/100, Llama 3.1 405B Instruct outperforms Gemma 2 9B Instruct by 12 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 2 9B Instruct
Llama 3.1 405B Instruct
Context Window
8k 128K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~85-87%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
300 Requests / hour 60 RPM (varies by model)
Daily Limit
Dependent on global load Credit-based (no daily cap)
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
9B 405B
Limitations
  • Rate limited to ~300 request/hour for free users
  • Models larger than 10GB may not load
  • Cold starts can occur
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • Serverless Inference
  • Instant Model Loading
  • Text Generation
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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