Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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No matches found

Claude 3.5 Sonnet (via routing)

S-TIER

Requesty

Intelligence Score 93/100
Model Popularity 0 votes
Context Window 200K
Pricing Model Commercial / Paid

DeepSeek: R1 Distill Llama 70B (free)

A-TIER

OpenRouter

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

Claude 3.5 Sonnet (via routing) Wins

With an intelligence score of 93/100 vs 83/100, Claude 3.5 Sonnet (via routing) outperforms DeepSeek: R1 Distill Llama 70B (free) by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Claude 3.5 Sonnet (via routing)
DeepSeek: R1 Distill Llama 70B (free)
Context Window
200K 128k
Architecture
Transformer (Proprietary) Transformer (Open Weight)
Est. MMLU Score
~88-91% ~75-79%
Release Date
Jun-Oct 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
Capabilities
Reasoning
No specific data
Performance Tier
S-Tier (Elite) B-Tier (Strong)
Speed Estimate
Medium 🐢 Slower (Reasoning)
Primary Use Case
General Purpose 🧠 Complex Reasoning
Model Size
Unknown 70B
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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