Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Gemini 1.5 Pro

S-TIER

Google AI Studio

Intelligence Score 90/100

Model Popularity 0 votes

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

View Provider Analysis →

A-TIER

Friendli AI

Intelligence Score 86/100

Context Window 32K

Pricing Model Commercial / Paid

Model Popularity 0 votes

View Provider Analysis →

FINAL VERDICT

With an intelligence score of 90/100 vs 86/100, Gemini 1.5 Pro outperforms Mixtral 8x7B Instruct by 4 points.

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

HEAD-TO-HEAD

Feature	Gemini 1.5 Pro	Mixtral 8x7B Instruct
Context Window	2M Context, 2 RPM	32K
Architecture	Transformer (Proprietary)	Mixture of Experts (MoE)
Est. MMLU Score	~85-87%	~80-84%
Release Date	Feb-May 2024	2024
Pricing Model	Free Tier	Paid / Commercial
Rate Limit (RPM)	5-30 RPM (varies by model)	60 RPM
Daily Limit	9000 RPD (Flash) / 25 RPD (3.1 Pro)	Credit-based
Capabilities	Reasoning	Multilingual
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	⚡ Fast Chat & Apps	General Purpose
Model Size	~1.5T (estimated)	7B
Limitations	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier	$10 credit is one-time trial Billing required after credits Limited model selection
Key Strengths	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime