Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

DeepSeek: V4 Flash (free)

A-TIER

OpenRouter

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

Llama 4 Scout (Fast)

A-TIER

Cerebras

Intelligence Score 87/100
Context Window 8K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

Llama 4 Scout (Fast) Wins

With an intelligence score of 87/100 vs 83/100, Llama 4 Scout (Fast) outperforms DeepSeek: V4 Flash (free) by 4 points.

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

Detailed Comparison

Feature
DeepSeek: V4 Flash (free)
Llama 4 Scout (Fast)
Context Window
1M 8K
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)
20 requests/minute 30 RPM
Daily Limit
50 requests/day (up to 1000 with $10 topup) 1,000,000 Tokens / 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 Undisclosed
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility

Similar Comparisons