Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Gemma 4 31B

Friendli AI

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 262K Context
Pricing Model Free / Open

Llama 3 8B Instruct

BentoML

Intelligence Score 71/100
Context Window 8K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Llama 3 8B Instruct Wins

With an intelligence score of 71/100 vs 65/100, Llama 3 8B Instruct outperforms Gemma 4 31B by 6 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Gemma 4 31B
Llama 3 8B Instruct
Context Window
262K Context 8K
Architecture
Transformer Transformer (Open Weight)
Est. MMLU Score
~60-64% ~65-69%
Release Date
2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
60 RPM Hardware dependent
Daily Limit
Credit-based Unlimited
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) C-Tier (Good)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
31B 8B
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Learning curve for 'Bento' concept
  • Deployment requires cloud knowledge
  • Local serving is just step 1
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • Unified Model Store
  • Distributed Runner Architecture
  • Deployment Agnostic

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