Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek Coder 6.7B

A-TIER

Cloudflare Workers AI

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 16K
Pricing Model Free / Open

Llama 3.1 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
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 Coder 6.7B by 4 points.

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

Detailed Comparison

Feature
DeepSeek Coder 6.7B
Llama 3.1 70B (via routing)
Context Window
16K 128K
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
Varies by model 60 RPM
Daily Limit
10,000 neurons/day Credit-based
Capabilities
Code
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
âš¡ Very Fast âš¡ Fast
Primary Use Case
💻 Code Generation General Purpose
Model Size
6.7B 70B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

Similar Comparisons