Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 8B (Fast)

Cerebras

Intelligence Score 78/100
Model Popularity 0 votes
Context Window 8K
Pricing Model Free / Open

Gemini 2.0 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 93/100
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 2.0 Flash-Lite Wins

With an intelligence score of 93/100 vs 78/100, Gemini 2.0 Flash-Lite outperforms Llama 3.1 8B (Fast) by 15 points.

Clear Winner: Significant performance advantage for Gemini 2.0 Flash-Lite.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 8B (Fast)
Gemini 2.0 Flash-Lite
Context Window
8K 1M Context, 10 RPM
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~70-74% ~88-91%
Release Date
Jul 2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 2-15 RPM
Daily Limit
1,000,000 Tokens / Day 1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
General Purpose âš¡ Fast Chat & Apps
Model Size
8B ~1.5T (estimated)
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Data used for training (Unpaid tier)
  • Rate limits are enforced per minute/day
  • No SLA for free tier
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Multimodal Capabilities
  • Huge Context Window (up to 2M tokens)
  • Fast Inference Speed

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