Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Allam 2 7B
Groq
Intelligence Score
76/100
Model Popularity
0 votes
Context Window
7k RPD, 6k TPM
Pricing Model
Free / Open
DeepSeek: R1 (free)
OpenRouter
Intelligence Score
65/100
Context Window
128k
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
Allam 2 7B Wins
With an intelligence score of 76/100 vs 65/100, Allam 2 7B outperforms DeepSeek: R1 (free) by 11 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Allam 2 7B
|
DeepSeek: R1 (free)
|
|---|---|---|
|
Context Window
|
7k RPD, 6k TPM | 128k |
|
Architecture
|
Transformer | Dense Transformer |
|
Est. MMLU Score
|
~70-74% | ~60-64% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
30 RPM, 14.4k RPD | 20 requests/minute |
|
Daily Limit
|
14,400 Requests/Day | 50 requests/day (up to 1000 with $10 topup) |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | C-Tier (Good) |
|
Speed Estimate
|
⚡ Very Fast | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
General Purpose | 🧠 Complex Reasoning |
|
Model Size
|
7B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Allam 2 7B
vs
Qwen 2.5 7B Instruct (free)
DeepSeek: R1 (free)
vs
Qwen 2.5 7B Instruct (free)
Allam 2 7B
vs
Qwen 2.5 VL 72B Instruct (free)
DeepSeek: R1 (free)
vs
Qwen 2.5 VL 72B Instruct (free)
Allam 2 7B
vs
Microsoft: Phi-3 Medium (free)
DeepSeek: R1 (free)
vs
Microsoft: Phi-3 Medium (free)
DeepSeek: R1 (free)
vs
Microsoft: Phi-3 Mini (free)
DeepSeek: R1 (free)
vs
Google: Gemini 2.0 Flash (free)
DeepSeek: R1 (free)
vs
Google: Gemini 2.0 Pro (free)
DeepSeek: R1 (free)
vs
Meta: Llama 3.3 70B Instruct (free)
DeepSeek: R1 (free)
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
DeepSeek: R1 (free)
vs
DeepSeek: R1 Distill Llama 70B (free)