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)

DEPRECATED

OpenRouter

This model is no longer active/free — kept for reference.

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

DeepSeek V4 Pro

DEPRECATED

Onomeo

This model is no longer active/free — kept for reference.

Intelligence Score 80/100
Context Window Unknown
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

DeepSeek V4 Pro Wins

With an intelligence score of 80/100 vs 79/100, DeepSeek V4 Pro outperforms Qwen 2.5 7B Instruct (free) 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)
DeepSeek V4 Pro
Context Window
32k Unknown
Architecture
Transformer (Open Weight) Dense Transformer
Est. MMLU Score
~70-74% ~75-79%
Release Date
Sep-Nov 2024 2024
Pricing Model
Free Tier Free Tier
Rate Limit (RPM)
20 requests/minute 12 requests/minute per key
Daily Limit
50 requests/day (up to 1000 with $10 topup) 30 free-model calls every 5 hours per account
Capabilities
No specific data
No specific data
Performance Tier
B-Tier (Strong) B-Tier (Strong)
Speed Estimate
⚡ Very Fast Medium
Primary Use Case
General Purpose General Purpose
Model Size
7B Undisclosed
Limitations
  • Limits depend on account history/topup
  • Community key models
  • Free models have lower priority during peak demand
  • Free model lineup rotates
  • Upstream free tiers may train on prompts
Key Strengths
  • Unified API for 100+ models from all providers
  • OpenAI-compatible endpoint (drop-in replacement)
  • Automatic model fallback and routing

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