Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek V3.2
S-TIERFriendli AI
Intelligence Score
94/100
Model Popularity
0 votes
Context Window
164K Context
Pricing Model
Free / Open
Cohere North Mini Code
OpenRouter
Intelligence Score
77/100
Context Window
256K Context
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek V3.2 Wins
With an intelligence score of 94/100 vs 77/100, DeepSeek V3.2 outperforms Cohere North Mini Code by 17 points.
Clear Winner: Significant performance advantage for DeepSeek V3.2.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek V3.2
|
Cohere North Mini Code
|
|---|---|---|
|
Context Window
|
164K Context | 256K Context |
|
Architecture
|
Dense Transformer | Transformer |
|
Est. MMLU Score
|
~88-91% | ~70-74% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
60 RPM | 20 requests/minute |
|
Daily Limit
|
Credit-based | 50 requests/day (up to 1000 with $10 topup) |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
S-Tier (Elite) | B-Tier (Strong) |
|
Speed Estimate
|
Medium | ⚡ Very Fast |
|
Primary Use Case
|
General Purpose | 💻 Code Generation |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
DeepSeek V3.2
vs
Google: Gemini 2.0 Flash (free)
Cohere North Mini Code
vs
Google: Gemini 2.0 Flash (free)
DeepSeek V3.2
vs
Google: Gemini 2.0 Pro (free)
Cohere North Mini Code
vs
Google: Gemini 2.0 Pro (free)
DeepSeek V3.2
vs
Meta: Llama 3.3 70B Instruct (free)
Cohere North Mini Code
vs
Meta: Llama 3.3 70B Instruct (free)
Cohere North Mini Code
vs
NVIDIA: Llama 3.1 Nemotron 70B (free)
Cohere North Mini Code
vs
DeepSeek: R1 (free)
Cohere North Mini Code
vs
DeepSeek: R1 Distill Llama 70B (free)
Cohere North Mini Code
vs
Mistral: Small 3 (free)
Cohere North Mini Code
vs
Qwen 2.5 7B Instruct (free)
Cohere North Mini Code
vs
Qwen 2.5 VL 72B Instruct (free)