Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Qwen3Guard-Gen-8B (Beta)
OVH AI Endpoints
Gemini 1.5 Pro (via Coze)
S-TIERCoze
Gemini 1.5 Pro (via Coze) Wins
With an intelligence score of 90/100 vs 71/100, Gemini 1.5 Pro (via Coze) outperforms Qwen3Guard-Gen-8B (Beta) by 19 points.
Detailed Comparison
| Feature |
Qwen3Guard-Gen-8B (Beta)
|
Gemini 1.5 Pro (via Coze)
|
|---|---|---|
|
Context Window
|
32K tokens | 1M |
|
Architecture
|
Transformer (Open Weight) | Transformer (Proprietary) |
|
Est. MMLU Score
|
~65-69% | ~85-87% |
|
Release Date
|
2024 | Feb-May 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
2 RPM (Anonymous) / 400 RPM (Auth) | Varies by model |
|
Daily Limit
|
Unspecified | Token-based daily limits |
|
Capabilities
|
Text
|
No specific data
|
|
Performance Tier
|
C-Tier (Good) | A-Tier (Excellent) |
|
Speed Estimate
|
⚡ Very Fast | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | ⚡ Fast Chat & Apps |
|
Model Size
|
8B | ~1.5T (estimated) |
|
Limitations
|
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Key Strengths
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