Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
VS
No matches found

Qwen 2.5 7B Instruct (free)

OpenRouter

Intelligence Score 79/100
Model Popularity 0 votes
Context Window 32k
Pricing Model Free / Open
View Provider Analysis →

Llama 3.1 8B

Groq

Intelligence Score 78/100
Context Window 14.4k RPD, 6k TPM
Pricing Model Free / Open
Model Popularity 0 votes
View Provider Analysis →
FINAL VERDICT

Qwen 2.5 7B Instruct (free) Wins

With an intelligence score of 79/100 vs 78/100, Qwen 2.5 7B Instruct (free) outperforms Llama 3.1 8B by 1 point.

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

Detailed Comparison

Feature
Qwen 2.5 7B Instruct (free)
Llama 3.1 8B
Context Window
32k 14.4k RPD, 6k TPM
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~70-74%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 30 RPM, 14.4k RPD
Daily Limit
50 requests/day (up to 1000 with $10 topup) 14,400 Requests/Day
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 8B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Test
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • LPU Accelerated
  • Extremely Fast Inference
  • Open Source Models

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