Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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DeepSeek Flash (V4.1)

A-TIER

DeepSeek

Intelligence Score 83/100
Model Popularity 0 votes
Context Window 1M Context
Pricing Model Free / Open
View Provider Analysis →

Meta: Llama 3.3 70B Instruct (free)

DEPRECATED

OpenRouter

This model is no longer active/free — kept for reference.

Intelligence Score 94/100
Context Window 128k
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Meta: Llama 3.3 70B Instruct (free) Wins

With an intelligence score of 94/100 vs 83/100, Meta: Llama 3.3 70B Instruct (free) outperforms DeepSeek Flash (V4.1) by 11 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
DeepSeek Flash (V4.1)
Meta: Llama 3.3 70B Instruct (free)
Context Window
1M Context 128k
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~88-91%
Release Date
2024 Dec 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
60 RPM 20 requests/minute
Daily Limit
Credit-based 50 requests/day (up to 1000 with $10 topup)
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) S-Tier (Elite)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 70B
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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