Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek: R1 Distill Llama 70B (free)

A-TIER

OpenRouter

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

Llama 3.1 8B Instruct

A-TIER

Cloudflare Workers AI

Intelligence Score 80/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek: R1 Distill Llama 70B (free) Wins

With an intelligence score of 83/100 vs 80/100, DeepSeek: R1 Distill Llama 70B (free) outperforms Llama 3.1 8B Instruct by 3 points.

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

Detailed Comparison

Feature
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 8B Instruct
Context Window
128k 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~75-79%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute Varies by model
Daily Limit
50 requests/day (up to 1000 with $10 topup) 10,000 neurons/day
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
70B 8B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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