Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Meta: Llama 4 Scout (free)
A-TIEROpenRouter
Intelligence Score
87/100
Model Popularity
0 votes
Context Window
128k
Pricing Model
Free / Open
Gemini 2.5 Pro
S-TIER
Intelligence Score
94/100
Context Window
2M
Pricing Model
Commercial / Paid
Model Popularity
0 votes
Commercial/Paid Model
FINAL VERDICT
Gemini 2.5 Pro Wins
With an intelligence score of 94/100 vs 87/100, Gemini 2.5 Pro outperforms Meta: Llama 4 Scout (free) by 7 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Meta: Llama 4 Scout (free)
|
Gemini 2.5 Pro
|
|---|---|---|
|
Context Window
|
128k | 2M |
|
Architecture
|
Transformer (Open Weight) | Transformer (Proprietary) |
|
Est. MMLU Score
|
~80-84% | ~88-91% |
|
Release Date
|
2026 (Latest) | 2024 |
|
Pricing Model
|
Free Tier | Paid / Commercial |
|
Rate Limit (RPM)
|
20 requests/minute | 2,000 RPM |
|
Daily Limit
|
50 requests/day (up to 1000 with $10 topup) | 1,500 requests/day (free tier) |
|
Capabilities
|
No specific data
|
Vision
Function Calling
Streaming
JSON Mode
|
|
Performance Tier
|
A-Tier (Excellent) | S-Tier (Elite) |
|
Speed Estimate
|
⚡ Very Fast | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | ⚡ Fast Chat & Apps |
|
Model Size
|
Undisclosed | ~1.5T (estimated) |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Meta: Llama 4 Scout (free)
vs
Microsoft: Phi-3 Mini (free)
Gemini 2.5 Pro
vs
Microsoft: Phi-3 Mini (free)
Meta: Llama 4 Scout (free)
vs
DeepSeek: V4 Flash (free)
Gemini 2.5 Pro
vs
DeepSeek: V4 Flash (free)
Meta: Llama 4 Scout (free)
vs
Meta: Llama 4 Maverick (free)
Gemini 2.5 Pro
vs
Meta: Llama 4 Maverick (free)
Gemini 2.5 Pro
vs
OpenAI: gpt-oss-120b (free)
Gemini 2.5 Pro
vs
NVIDIA: Nemotron 3 Ultra (free, promo)
Gemini 2.5 Pro
vs
Google: Gemini 2.0 Flash (free)
Gemini 2.5 Pro
vs
Google: Gemini 2.0 Pro (free)
Gemini 2.5 Pro
vs
Meta: Llama 3.3 70B Instruct (free)
Gemini 2.5 Pro
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)