Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Meta: Llama 3.3 70B Instruct (free)
S-TIEROpenRouter
Qwen 2.5 7B Instruct (free)
OpenRouter
Meta: Llama 3.3 70B Instruct (free) Wins
With an intelligence score of 94/100 vs 79/100, Meta: Llama 3.3 70B Instruct (free) outperforms Qwen 2.5 7B Instruct (free) by 15 points.
Detailed Comparison
| Feature |
Meta: Llama 3.3 70B Instruct (free)
|
Qwen 2.5 7B Instruct (free)
|
|---|---|---|
|
Context Window
|
128k | 32k |
|
Architecture
|
Transformer (Open Weight) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~88-91% | ~70-74% |
|
Release Date
|
Dec 2024 | Sep-Nov 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
20 requests/minute | 20 requests/minute |
|
Daily Limit
|
50 requests/day (up to 1000 with $10 topup) | 50 requests/day (up to 1000 with $10 topup) |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
S-Tier (Elite) | B-Tier (Strong) |
|
Speed Estimate
|
⚡ Fast | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
70B | 7B |
|
Limitations
|
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|
Key Strengths
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