Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid

GPT-4o (via routing)

S-TIER

Requesty

Intelligence Score 92/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Evenly Matched!

Both models score 92/100 and have comparable capabilities.

🎯 Selection Guide:
Your choice depends on provider preference, latency requirements, and specific features.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B Instruct
GPT-4o (via routing)
Context Window
128K 128K
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~85-87% ~85-87%
Release Date
Jul 2024 May-Nov 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
Vision
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) Medium
Primary Use Case
General Purpose General Purpose
Model Size
405B ~1.8T (estimated)
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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