Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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 →

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

Llama 3.1 70B (via routing) Wins

With an intelligence score of 87/100 vs 86/100, Llama 3.1 70B (via routing) outperforms Mixtral 8x7B Instruct by 1 point.

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

Detailed Comparison

Feature
Mixtral 8x7B Instruct
Llama 3.1 70B (via routing)
Context Window
32K 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 60 RPM
Daily Limit
Credit-based Credit-based
Capabilities
Multilingual
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 70B
Limitations
  • $10 credit is one-time trial
  • Billing required after credits
  • Limited model selection
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Optimized inference engine (FriendliEngine)
  • OpenAI-compatible API endpoints
  • Enterprise-grade uptime
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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meta/llama-3-70b-instruct