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
View Provider Analysis →

Qwen 2.5 7B Instruct (free)

OpenRouter

Intelligence Score 79/100
Context Window 32k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 7B Instruct (free) Wins

With an intelligence score of 79/100 vs 78/100, Qwen 2.5 7B Instruct (free) outperforms Llama 3.1 8B (Fast) by 1 point.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 8B (Fast)
Qwen 2.5 7B Instruct (free)
Context Window
8K 32k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~70-74%
Release Date
Jul 2024 Sep-Nov 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
30 RPM 20 requests/minute
Daily Limit
1,000,000 Tokens / Day 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
âš¡ Very Fast âš¡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
8B 7B
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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