Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mixtral 8x7B Instruct

A-TIER

Friendli AI

Intelligence Score 86/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Commercial / Paid

Gemini 2.0 Flash-Lite

S-TIER

Google AI Studio

Intelligence Score 93/100
Context Window 1M Context, 10 RPM
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Gemini 2.0 Flash-Lite Wins

With an intelligence score of 93/100 vs 86/100, Gemini 2.0 Flash-Lite outperforms Mixtral 8x7B Instruct by 7 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x7B Instruct
Gemini 2.0 Flash-Lite
Context Window
32K 1M Context, 10 RPM
Architecture
Mixture of Experts (MoE) Transformer (Proprietary)
Est. MMLU Score
~80-84% ~88-91%
Release Date
2024 Dec 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
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

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