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

Llama 3.1 405B Instruct

S-TIER

DeepInfra

Intelligence Score 92/100
Context Window 128K
Pricing Model Commercial / Paid
Model Popularity 0 votes
FINAL VERDICT

Llama 3.1 405B Instruct Wins

With an intelligence score of 92/100 vs 79/100, Llama 3.1 405B Instruct outperforms Qwen 2.5 7B Instruct (free) by 13 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 7B Instruct (free)
Llama 3.1 405B Instruct
Context Window
32k 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~85-87%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 60 RPM (varies by model)
Daily Limit
50 requests/day (up to 1000 with $10 topup) Credit-based (no daily cap)
Capabilities
No specific data
Reasoning
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast 🐢 Slower (Reasoning)
Primary Use Case
General Purpose General Purpose
Model Size
7B 405B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • $5 credit is one-time only
  • Credits expire after 90 days
  • Rate limits vary by model
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • OpenAI-compatible API (drop-in replacement)
  • 40+ open-source models hosted
  • Fast inference with optimized serving

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