Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Mixtral 8x22B Instruct

A-TIER

DeepInfra

Intelligence Score 89/100
Model Popularity 0 votes
Context Window 64K
Pricing Model Commercial / Paid

Gemini 3.1 Pro

S-TIER

Google

Intelligence Score 99/100
Context Window 2M
Pricing Model Commercial / Paid
Model Popularity 0 votes
Commercial/Paid Model
FINAL VERDICT

Gemini 3.1 Pro Wins

With an intelligence score of 99/100 vs 89/100, Gemini 3.1 Pro outperforms Mixtral 8x22B Instruct by 10 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x22B Instruct
Gemini 3.1 Pro
Context Window
64K 2M
Architecture
Mixture of Experts (MoE) Transformer (Proprietary)
Est. MMLU Score
~80-84% ~92-95%
Release Date
2024 2026 (Expected)
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM (varies by model) 2,000 RPM
Daily Limit
Credit-based (no daily cap) 1,500 requests/day (free tier)
Capabilities
Reasoning Multilingual
Vision Function Calling Streaming JSON Mode Web Search
Performance Tier
A-Tier (Excellent) S-Tier (Elite)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
22B ~1.5T (estimated)
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • API key required
  • Rate limits vary by region
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Complex tasks
  • Creative concepts
  • Best-in-class reasoning

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