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 96/100

Context Window 1M Context, 30 RPM

Pricing Model Free / Open

Model Popularity 0 votes

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FINAL VERDICT

With an intelligence score of 96/100 vs 86/100, Gemini 3.1 Flash-Lite outperforms Mixtral 8x7B Instruct by 10 points.

HEAD-TO-HEAD

Feature	Mixtral 8x7B Instruct	Gemini 3.1 Flash-Lite
Context Window	32K	1M Context, 30 RPM
Architecture	Mixture of Experts (MoE)	Transformer (Proprietary)
Est. MMLU Score	~80-84%	~92-95%
Release Date	2024	2026 (Expected)
Pricing Model	Paid / Commercial	Free Tier
Rate Limit (RPM)	60 RPM	15 RPM (Flash) / 30 RPM (Flash-Lite) / 2 RPM (Pro)
Daily Limit	Credit-based	1,500 RPD (Flash) / 50 RPD (Pro)
Capabilities	Multilingual	No specific data
Performance Tier	A-Tier (Excellent)	S-Tier (Elite)
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