Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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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

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100
Context Window 32K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Mixtral 8x7B Instruct Wins

With an intelligence score of 86/100 vs 83/100, Mixtral 8x7B Instruct outperforms DeepSeek Coder 6.7B by 3 points.

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

Detailed Comparison

Feature
DeepSeek Coder 6.7B
Mixtral 8x7B Instruct
Context Window
16K 32K
Architecture
Dense Transformer Mixture of Experts (MoE)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 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
Multilingual
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
💻 Code Generation General Purpose
Model Size
6.7B 7B
Limitations
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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