Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Qwen 3.8 27B

Cerebras

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 128K Context

Pricing Model Free / Open

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A-TIER

Ollama

Intelligence Score 84/100

Context Window 32K tokens

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 84/100 vs 65/100, Mistral Nemo 12B outperforms Qwen 3.8 27B by 19 points.

Clear Winner: Significant performance advantage for Mistral Nemo 12B.

HEAD-TO-HEAD

Feature	Qwen 3.8 27B	Mistral Nemo 12B
Context Window	128K Context	32K tokens
Architecture	Transformer (Open Weight)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~75-79%
Release Date	2024	2024
Pricing Model	Free Tier	Free Tier
Rate Limit (RPM)	5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial)	Hardware limited
Daily Limit	1M tokens/day	Unlimited
Capabilities	No specific data	Multilingual
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	⚡ Very Fast	Medium
Primary Use Case	General Purpose	General Purpose
Model Size	27B	12B
Limitations	Rate limited on free tier (30 RPM) Daily token cap of 1M tokens	Depends on your RAM/GPU Laptop fans will spin up Large models (70B+) need heavy hardware
Key Strengths	Instant Token Generation Wafer-Scale Engine Speed OpenAI API Compatibility	Local Inference: Data never leaves your device Modelfiles: Script your own system prompts API: Local REST API for app integration