Battle of the Models
Compare specific LLM models, context windows, and capabilities.
GPT-4o (via routing)
S-TIERRequesty
Intelligence Score
92/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Commercial / Paid
Llama 3.1 405B Instruct
S-TIERDeepInfra
Intelligence Score
92/100
Context Window
128K
Pricing Model
Commercial / Paid
Model Popularity
0 votes
FINAL VERDICT
Evenly Matched!
Both models score 92/100 and have comparable capabilities.
🎯 Selection Guide:
Your choice depends on provider preference, latency requirements, and specific features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
GPT-4o (via routing)
|
Llama 3.1 405B Instruct
|
|---|---|---|
|
Context Window
|
128K | 128K |
|
Architecture
|
Transformer (Proprietary) | Transformer (Open Weight) |
|
Est. MMLU Score
|
~85-87% | ~85-87% |
|
Release Date
|
May-Nov 2024 | Jul 2024 |
|
Pricing Model
|
Paid / Commercial | Paid / Commercial |
|
Rate Limit (RPM)
|
60 RPM | 60 RPM (varies by model) |
|
Daily Limit
|
Credit-based | Credit-based (no daily cap) |
|
Capabilities
|
Vision
|
Reasoning
|
|
Performance Tier
|
A-Tier (Excellent) | A-Tier (Excellent) |
|
Speed Estimate
|
Medium | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
~1.8T (estimated) | 405B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
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meta/llama-3-70b-instruct
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