Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Qwen3.5 72B Instruct
A-TIERHugging Face Inference
Intelligence Score
83/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Free / Open
Gemini 1.5 Pro
S-TIERGoogle AI Studio
Intelligence Score
90/100
Context Window
2M Context, 2 RPM
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Gemini 1.5 Pro Wins
With an intelligence score of 90/100 vs 83/100, Gemini 1.5 Pro outperforms Qwen3.5 72B Instruct by 7 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Qwen3.5 72B Instruct
|
Gemini 1.5 Pro
|
|---|---|---|
|
Context Window
|
128K | 2M Context, 2 RPM |
|
Architecture
|
Transformer (Open Weight) | Transformer (Proprietary) |
|
Est. MMLU Score
|
~75-79% | ~85-87% |
|
Release Date
|
2024 | Feb-May 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
300 Requests / hour | 5-30 RPM (varies by model) |
|
Daily Limit
|
Capped by monthly credit, not a flat request count | 9000 RPD (Flash) / 25 RPD (3.1 Pro) |
|
Capabilities
|
Chinese
|
Reasoning
|
|
Performance Tier
|
B-Tier (Strong) | A-Tier (Excellent) |
|
Speed Estimate
|
⚡ Fast | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | ⚡ Fast Chat & Apps |
|
Model Size
|
72B | ~1.5T (estimated) |
|
Limitations
|
|
|
|
Key Strengths
|
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