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

View Provider Analysis →

S-TIER

Google

Intelligence Score 94/100

Context Window 2M

Pricing Model Commercial / Paid

Model Popularity 0 votes

Commercial/Paid Model

FINAL VERDICT

With an intelligence score of 94/100 vs 86/100, Gemini 2.5 Pro outperforms Mixtral 8x7B Instruct by 8 points.

HEAD-TO-HEAD

Feature	Mixtral 8x7B Instruct	Gemini 2.5 Pro
Context Window	32K	2M
Architecture	Mixture of Experts (MoE)	Transformer (Proprietary)
Est. MMLU Score	~80-84%	~88-91%
Release Date	2024	2024
Pricing Model	Paid / Commercial	Paid / Commercial
Rate Limit (RPM)	60 RPM	2,000 RPM
Daily Limit	Credit-based	1,500 requests/day (free tier)
Capabilities	Multilingual	Vision Function Calling Streaming JSON Mode
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	API key required Rate limits vary by region
Key Strengths	Optimized inference engine (FriendliEngine) OpenAI-compatible API endpoints Enterprise-grade uptime	Deep reasoning Coding capabilities Long context mastery