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
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Gemini 1.5 Pro (via Coze)

S-TIER

Coze

Intelligence Score 90/100
Context Window 1M
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 90/100, Llama 3.1 405B Instruct outperforms Gemini 1.5 Pro (via Coze) by 2 points.

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

Detailed Comparison

Feature
Llama 3.1 405B Instruct
Gemini 1.5 Pro (via Coze)
Context Window
128K 1M
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~85-87% ~85-87%
Release Date
Jul 2024 Feb-May 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM (varies by model) Varies by model
Daily Limit
Credit-based (no daily cap) Token-based daily limits
Capabilities
Reasoning
No specific data
Performance Tier
A-Tier (Excellent) A-Tier (Excellent)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
405B ~1.5T (estimated)
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • Daily token limits on free tier
  • Platform-specific API format
  • Bot-centric usage model
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • Visual bot/agent builder
  • Multi-model access (GPT-4o, Gemini)
  • Plugin marketplace

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