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

Llama 3.3 70B Instruct

S-TIER

Fireworks AI

Intelligence Score 94/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Llama 3.3 70B Instruct Wins

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

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.3 70B Instruct
Context Window
128k 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 600 RPM
Daily Limit
50 requests/day (up to 1000 with $10 topup) Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Fast
Primary Use Case
🧠 Complex Reasoning General Purpose
Model Size
70B 70B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • $1 credit is one-time only
  • Billing account needed for continued use
  • Rate limits apply to free tier
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Blazing Fast Inference
  • Fire-Function-v1: Optimized for tool use
  • JSON Mode: Guaranteed structure

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