Battle of the Models

Compare specific LLM models, context windows, and capabilities.

GPT-OSS 20B

Groq

Intelligence Score 65/100

Model Popularity 0 votes

Context Window 1k RPD, 8k TPM

Pricing Model Free / Open

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Replicate

Intelligence Score 76/100

Context Window 32K tokens

Pricing Model Commercial / Paid

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 76/100 vs 65/100, mistralai/mistral-7b-instruct-v0.2 outperforms GPT-OSS 20B by 11 points.

HEAD-TO-HEAD

Feature	GPT-OSS 20B	mistralai/mistral-7b-instruct-v0.2
Context Window	1k RPD, 8k TPM	32K tokens
Architecture	Transformer (Proprietary)	Transformer (Open Weight)
Est. MMLU Score	~60-64%	~70-74%
Release Date	2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	30 RPM, 14.4k RPD	Varies by model
Daily Limit	14,400 Requests/Day	Credit-based
Capabilities	No specific data	No specific data
Performance Tier	C-Tier (Good)	B-Tier (Strong)
Speed Estimate	Medium	⚡ Very Fast
Primary Use Case	General Purpose	General Purpose
Model Size	20B	7b
Limitations	Test	Pay-per-second billing (can be expensive) Cold starts for less popular models Trial credits are minimal
Key Strengths	LPU Accelerated Extremely Fast Inference Open Source Models	Run any public model with an API Fine-tune existing models easily Cold boots can be slow for unpopular models