Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Llama 3.1 70B (via routing)

DEPRECATED

Requesty

This model is no longer active/free — kept for reference.

Intelligence Score 87/100
Model Popularity 0 votes
Context Window 128K
Pricing Model Commercial / Paid
View Provider Analysis →

Qwen3.8 27B

Groq

Intelligence Score 65/100
Context Window 131K Context
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Llama 3.1 70B (via routing) Wins

With an intelligence score of 87/100 vs 65/100, Llama 3.1 70B (via routing) outperforms Qwen3.8 27B by 22 points.

Clear Winner: Significant performance advantage for Llama 3.1 70B (via routing).
HEAD-TO-HEAD

Detailed Comparison

Feature
Llama 3.1 70B (via routing)
Qwen3.8 27B
Context Window
128K 131K Context
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~80-84% ~60-64%
Release Date
Jul 2024 2024
Pricing Model
Paid / Commercial Free Tier
Rate Limit (RPM)
60 RPM 30 RPM, 14.4k RPD
Daily Limit
50 requests/day (new orgs) / 200 requests/day (paying orgs), shared across all free models 14,400 Requests/Day
Capabilities
No specific data
No specific data
Performance Tier
A-Tier (Excellent) C-Tier (Good)
Speed Estimate
⚡ Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
70B 27B
Limitations
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
  • Test
Key Strengths
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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