Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Llama 3.1 70B (via routing)
A-TIERRequesty
Gemini 2.0 Flash-Lite
S-TIERGoogle AI Studio
Gemini 2.0 Flash-Lite Wins
With an intelligence score of 93/100 vs 87/100, Gemini 2.0 Flash-Lite outperforms Llama 3.1 70B (via routing) by 6 points.
Detailed Comparison
| Feature |
Llama 3.1 70B (via routing)
|
Gemini 2.0 Flash-Lite
|
|---|---|---|
|
Context Window
|
128K | 1M Context, 10 RPM |
|
Architecture
|
Transformer (Open Weight) | Transformer (Proprietary) |
|
Est. MMLU Score
|
~80-84% | ~88-91% |
|
Release Date
|
Jul 2024 | Dec 2024 |
|
Pricing Model
|
Paid / Commercial | Free Tier |
|
Rate Limit (RPM)
|
60 RPM | 2-15 RPM |
|
Daily Limit
|
Credit-based | 1,500 RPD (Flash) / 50 RPD (Pro) |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | S-Tier (Elite) |
|
Speed Estimate
|
⚡ Fast | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | ⚡ Fast Chat & Apps |
|
Model Size
|
70B | ~1.5T (estimated) |
|
Limitations
|
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Key Strengths
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