Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Apriel 1.6 15B Thinker (Free)
A-TIERTogether.AI
Intelligence Score
85/100
Model Popularity
0 votes
Context Window
131K tokens
Pricing Model
Free / Open
Llama 3.1 8B
Groq
Intelligence Score
78/100
Context Window
14.4k RPD, 6k TPM
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Apriel 1.6 15B Thinker (Free) Wins
With an intelligence score of 85/100 vs 78/100, Apriel 1.6 15B Thinker (Free) outperforms Llama 3.1 8B by 7 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Apriel 1.6 15B Thinker (Free)
|
Llama 3.1 8B
|
|---|---|---|
|
Context Window
|
131K tokens | 14.4k RPD, 6k TPM |
|
Architecture
|
Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~80-84% | ~70-74% |
|
Release Date
|
2024 | Jul 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
Subject to availability | 30 RPM, 14.4k RPD |
|
Daily Limit
|
Unlimited (Research Preview) | 14,400 Requests/Day |
|
Capabilities
|
Reasoning
Multimodal
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | B-Tier (Strong) |
|
Speed Estimate
|
Medium | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
15B | 8B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Apriel 1.6 15B Thinker (Free)
vs
Meta: Llama 3.3 70B Instruct (free)
Llama 3.1 8B
vs
Meta: Llama 3.3 70B Instruct (free)
Apriel 1.6 15B Thinker (Free)
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Llama 3.1 8B
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Apriel 1.6 15B Thinker (Free)
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 8B
vs
DeepSeek: R1 Distill Llama 70B (free)
Llama 3.1 8B
vs
Apriel 1.5 15B Thinker (Free)
Llama 3.1 8B
vs
Llama 3.2 3B
Llama 3.1 8B
vs
Llama 3.1 (Any Size)
Llama 3.1 8B
vs
Llama 3.2 11B Vision
Llama 3.1 8B
vs
Llama 3.1 8B Instruct
Llama 3.1 8B
vs
meta/llama-3-70b-instruct