Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Meta: Llama 3.3 70B Instruct (free)

S-TIER

OpenRouter

Intelligence Score 94/100
Model Popularity 0 votes
Context Window 128k
Pricing Model Free / Open
View Provider Analysis →

DeepSeek: R1 Distill Llama 70B (free)

A-TIER

OpenRouter

Intelligence Score 83/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 83/100, Meta: Llama 3.3 70B Instruct (free) outperforms DeepSeek: R1 Distill Llama 70B (free) by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Meta: Llama 3.3 70B Instruct (free)
DeepSeek: R1 Distill Llama 70B (free)
Context Window
128k 128k
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~75-79%
Release Date
Dec 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 20 requests/minute
Daily Limit
50 requests/day (up to 1000 with $10 topup) 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
⚡ Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
70B 70B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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