Battle of the Models

Compare specific LLM models, context windows, and capabilities.

DeepSeek R1 Distill Qwen 7B

S-TIER

SiliconFlow

Intelligence Score 93/100

Model Popularity 0 votes

Context Window 128K Context

Pricing Model Free / Open

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A-TIER

LLM7.io

Intelligence Score 80/100

Context Window 128K Context

Pricing Model Free / Open

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 93/100 vs 80/100, DeepSeek R1 Distill Qwen 7B outperforms Mistral Nemo Instruct 2407 by 13 points.

HEAD-TO-HEAD

Feature	DeepSeek R1 Distill Qwen 7B	Mistral Nemo Instruct 2407
Context Window	128K Context	128K Context
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~88-91%	~75-79%
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	30 RPM (no signup) / 120 RPM (free email token)
Daily Limit	Not fully published — verify on docs.siliconflow.cn	Up to 5M tokens/day (rolling 24h, with free token)
Capabilities	No specific data	No specific data
Performance Tier	S-Tier (Elite)	B-Tier (Strong)
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	No signup tier is heavily rate-limited (30 RPM) Smaller, less well-known provider — verify uptime before production use
Key Strengths	OpenAI-compatible endpoint Mix of always-free and pay-per-token models Some models free ($0) after identity verification	Works with zero signup OpenAI-compatible endpoint — swap base_url + key No signup required for basic use