Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Mixtral 8x7B Instruct
A-TIERFriendli AI
Intelligence Score
86/100
Model Popularity
0 votes
Context Window
32K
Pricing Model
Commercial / Paid
DeepSeek-R1
S-TIERNVIDIA NIM
Intelligence Score
97/100
Context Window
128K
Pricing Model
Commercial / Paid
Model Popularity
0 votes
FINAL VERDICT
DeepSeek-R1 Wins
With an intelligence score of 97/100 vs 86/100, DeepSeek-R1 outperforms Mixtral 8x7B Instruct by 11 points.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Mixtral 8x7B Instruct
|
DeepSeek-R1
|
|---|---|---|
|
Context Window
|
32K | 128K |
|
Architecture
|
Mixture of Experts (MoE) | Dense Transformer |
|
Est. MMLU Score
|
~80-84% | ~92-95% |
|
Release Date
|
2024 | Jan 2025 |
|
Pricing Model
|
Paid / Commercial | Paid / Commercial |
|
Rate Limit (RPM)
|
60 RPM | 40 requests/minute |
|
Daily Limit
|
Credit-based | - |
|
Capabilities
|
Multilingual
|
No specific data
|
|
Performance Tier
|
A-Tier (Excellent) | S-Tier (Elite) |
|
Speed Estimate
|
⚡ Very Fast | 🐢 Slower (Reasoning) |
|
Primary Use Case
|
General Purpose | 🧠 Complex Reasoning |
|
Model Size
|
7B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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