Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 3.8 27B

Cerebras

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K 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 65/100, Llama 4 Scout 17B outperforms Qwen 3.8 27B by 22 points.

Clear Winner: Significant performance advantage for Llama 4 Scout 17B.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 3.8 27B
Llama 4 Scout 17B
Context Window
128K Context 131K Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~60-64% ~80-84%
Release Date
2024 2026 (Latest)
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) Varies by model
Daily Limit
1M tokens/day 10,000 neurons/day
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
27B 17B
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • 10,000 neurons/day cap (varies per model)
  • Larger models consume more neurons per request
  • No fine-tuning support
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • Edge inference: runs closest to user
  • 50+ models: LLM, image gen, classification, speech
  • Workers integration for serverless apps

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