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

DeepSeek V3.2

S-TIER

Friendli AI

Intelligence Score 94/100
Context Window 164K Context
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V3.2 Wins

With an intelligence score of 94/100 vs 93/100, DeepSeek V3.2 outperforms DeepSeek R1 Distill Qwen 7B by 1 point.

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

Detailed Comparison

Feature
DeepSeek R1 Distill Qwen 7B
DeepSeek V3.2
Context Window
128K Context 164K Context
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~88-91% ~88-91%
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 60 RPM
Daily Limit
Not fully published — verify on docs.siliconflow.cn Credit-based
Capabilities
No specific data
No specific data
Performance Tier
S-Tier (Elite) S-Tier (Elite)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
🧠 Complex Reasoning General Purpose
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
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
Key Strengths
  • OpenAI-compatible endpoint
  • Mix of always-free and pay-per-token models
  • Some models free ($0) after identity verification
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime

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