Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Llama 3.1 (Deployable)

Cerebrium

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
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 65/100, Qwen 2.5 7B Instruct (free) outperforms Llama 3.1 (Deployable) by 14 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 (Deployable)
Qwen 2.5 7B Instruct (free)
Context Window
128K 32k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~70-74%
Release Date
Jul 2024 Sep-Nov 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
Pay-per-second compute 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
Undisclosed 7B
Limitations
  • $30 is one-time trial credits
  • Requires some DevOps knowledge
  • Cold starts for serverless models
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Deploy any HuggingFace model
  • Serverless GPU infrastructure
  • Auto-scaling (scale to zero)
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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