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
View Provider Analysis →

Llama 3.1 70B (via routing)

A-TIER

Requesty

Intelligence Score 87/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Mixtral 8x22B Instruct Wins

With an intelligence score of 89/100 vs 87/100, Mixtral 8x22B Instruct outperforms Llama 3.1 70B (via routing) by 2 points.

Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD

Detailed Comparison

Feature
Mixtral 8x22B Instruct
Llama 3.1 70B (via routing)
Context Window
64K 128K
Architecture
Mixture of Experts (MoE) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~80-84%
Release Date
2024 Jul 2024
Pricing Model
Paid / Commercial Paid / Commercial
Rate Limit (RPM)
60 RPM (varies by model) 60 RPM
Daily Limit
Credit-based (no daily cap) Credit-based
Capabilities
Reasoning Multilingual
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
Medium ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
22B 70B
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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meta/llama-3-70b-instruct