Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

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 →

Llama 4 Scout 17B

A-TIER

Cloudflare Workers AI

Intelligence Score 87/100
Context Window 131K Context
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 4 Scout 17B Wins

With an intelligence score of 87/100 vs 83/100, Llama 4 Scout 17B outperforms DeepSeek Flash (V4.1) by 4 points.

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

Detailed Comparison

Feature
DeepSeek Flash (V4.1)
Llama 4 Scout 17B
Context Window
1M Context 131K Context
Architecture
Dense Transformer Transformer (Open Weight)
Est. MMLU Score
~75-79% ~80-84%
Release Date
2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
60 RPM Varies by model
Daily Limit
Credit-based 10,000 neurons/day
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
⚡ Fast Chat & Apps General Purpose
Model Size
Undisclosed 17B
Limitations
  • 10M tokens is one-time only
  • API can be slow during peak hours (Chinese business hours)
  • Rate limiting during high demand periods
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • DeepSeek-R1: OpenAI o1-level reasoning (open-source)
  • Mixture-of-Experts architecture for efficiency
  • OpenAI-compatible API (drop-in replacement)
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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