Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 70B (via routing) Wins

With an intelligence score of 87/100 vs 83/100, Llama 3.1 70B (via routing) outperforms DeepSeek: R1 Distill Llama 70B (free) by 4 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 70B (via routing)
Context Window
128k 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 60 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) A-Tier (Excellent)
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
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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