Battle of the Models

Compare specific LLM models, context windows, and capabilities.

No matches found
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No matches found

Qwen 2.5

LLM7.io

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 32K
Pricing Model Free / Open

Gemini 2.5 Pro

S-TIER

Google

Intelligence Score 94/100
Context Window 2M
Pricing Model Commercial / Paid
Model Popularity 0 votes
Commercial/Paid Model
FINAL VERDICT

Gemini 2.5 Pro Wins

With an intelligence score of 94/100 vs 65/100, Gemini 2.5 Pro outperforms Qwen 2.5 by 29 points.

Clear Winner: Significant performance advantage for Gemini 2.5 Pro.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 2.5
Gemini 2.5 Pro
Context Window
32K 2M
Architecture
Transformer (Open Weight) Transformer (Proprietary)
Est. MMLU Score
~60-64% ~88-91%
Release Date
Sep-Nov 2024 2024
Pricing Model
Free Tier Paid / Commercial
Rate Limit (RPM)
30 RPM (no signup) / 120 RPM (free email token) 2,000 RPM
Daily Limit
Up to 5M tokens/day (rolling 24h, with free token) 1,500 requests/day (free tier)
Capabilities
No specific data
Vision Function Calling Streaming JSON Mode
Performance Tier
C-Tier (Good) S-Tier (Elite)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
Undisclosed ~1.5T (estimated)
Limitations
  • No signup tier is heavily rate-limited (30 RPM)
  • Smaller, less well-known provider — verify uptime before production use
  • API key required
  • Rate limits vary by region
Key Strengths
  • Works with zero signup
  • OpenAI-compatible endpoint — swap base_url + key
  • No signup required for basic use
  • Deep reasoning
  • Coding capabilities
  • Long context mastery

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