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 70B (via routing)

A-TIER

Requesty

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

Llama 3.1 70B (via routing) Wins

With an intelligence score of 87/100 vs 79/100, Llama 3.1 70B (via routing) outperforms Qwen 2.5 7B Instruct (free) by 8 points.

HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5 7B Instruct (free)
Llama 3.1 70B (via routing)
Context Window
32k 128K
Architecture
Transformer (Open Weight) Transformer (Open Weight)
Est. MMLU Score
~70-74% ~80-84%
Release Date
Sep-Nov 2024 Jul 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
20 requests/minute 60 RPM
Daily Limit
50 requests/day (up to 1000 with $10 topup) Credit-based
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) A-Tier (Excellent)
Speed Estimate
⚡ Very Fast ⚡ Fast
Primary Use Case
General Purpose General Purpose
Model Size
7B 70B
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Requires underlying provider API keys
  • Free credit amount is limited
  • Routing adds minimal latency
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing
  • AI Router: automatic provider failover
  • Prompt caching for cost savings
  • Multi-provider load balancing

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