Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek R1 Distill Qwen 7B

S-TIER

SiliconFlow

Intelligence Score 93/100
Model Popularity 0 votes
Context Window 128K Context
Pricing Model Free / Open
View Provider Analysis →

DeepSeek Coder V2

A-TIER

Ollama

Intelligence Score 85/100
Context Window 64K tokens
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

DeepSeek R1 Distill Qwen 7B Wins

With an intelligence score of 93/100 vs 85/100, DeepSeek R1 Distill Qwen 7B outperforms DeepSeek Coder V2 by 8 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek R1 Distill Qwen 7B
DeepSeek Coder V2
Context Window
128K Context 64K tokens
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~88-91% ~80-84%
Release Date
Jan 2025 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
Fixed limits for free models — exact figures require login, verify on cloud.siliconflow.cn/models Hardware limited
Daily Limit
Not fully published — verify on docs.siliconflow.cn Unlimited
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
🧠 Complex Reasoning 💻 Code Generation
Model Size
7B Undisclosed
Limitations
  • Free model list not published without logging in — verify exact models/limits in your dashboard before relying on this provider
  • Requires identity verification, not just email signup
  • Reportedly unavailable in EU/UK/Switzerland
  • Depends on your RAM/GPU
  • Laptop fans will spin up
  • Large models (70B+) need heavy hardware
Key Strengths
  • OpenAI-compatible endpoint
  • Mix of always-free and pay-per-token models
  • Some models free ($0) after identity verification
  • Local Inference: Data never leaves your device
  • Modelfiles: Script your own system prompts
  • API: Local REST API for app integration

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