Battle of the Models

Compare specific LLM models, context windows, and capabilities.

Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100

Model Popularity 0 votes

Context Window 32K

Pricing Model Commercial / Paid

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S-TIER

Google AI Studio

Intelligence Score 90/100

Context Window 2M Context, 2 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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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	Mixtral 8x7B Instruct	Gemini 1.5 Pro
Context Window	32K	2M Context, 2 RPM
Architecture	Mixture of Experts (MoE)	Transformer (Proprietary)
Est. MMLU Score	~80-84%	~85-87%
Release Date	2024	Feb-May 2024
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	2-15 RPM
Daily Limit	Credit-based	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	Multilingual	Reasoning
Performance Tier	A-Tier (Excellent)	A-Tier (Excellent)
Speed Estimate	⚡ Very Fast	⚡ Very Fast
Primary Use Case	General Purpose	⚡ Fast Chat & Apps
Model Size	7B	~1.5T (estimated)
Limitations	$10 credit is one-time trial Billing required after credits Limited model selection	Data used for training (Unpaid tier) Rate limits are enforced per minute/day No SLA for free tier
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Multimodal Capabilities Huge Context Window (up to 2M tokens) Fast Inference Speed