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
View Provider Analysis →

DeepSeek-V4 Flash

A-TIER

DeepSeek

Intelligence Score 83/100
Context Window 1M
Pricing Model Commercial / Paid
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 83/100, Llama 3.1 405B Instruct outperforms DeepSeek-V4 Flash by 9 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 405B Instruct
DeepSeek-V4 Flash
Context Window
128K 1M
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~85-87% ~75-79%
Release Date
Jul 2024 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
No specific data
Performance Tier
A-Tier (Excellent) B-Tier (Strong)
Speed Estimate
🐢 Slower (Reasoning) ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
405B Undisclosed
Limitations
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
Key Strengths
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)

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