Battle of the Models
Compare specific LLM models, context windows, and capabilities.
Qwen 3.8 27B
Cerebras
Intelligence Score
65/100
Model Popularity
0 votes
Context Window
128K Context
Pricing Model
Free / Open
DeepSeek V4 Pro (0813)
A-TIERNVIDIA NIM
Intelligence Score
80/100
Context Window
Long context
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek V4 Pro (0813) Wins
With an intelligence score of 80/100 vs 65/100, DeepSeek V4 Pro (0813) outperforms Qwen 3.8 27B by 15 points.
Clear Winner: Significant performance advantage for DeepSeek V4 Pro (0813).
HEAD-TO-HEAD
Detailed Comparison
| Feature |
Qwen 3.8 27B
|
DeepSeek V4 Pro (0813)
|
|---|---|---|
|
Context Window
|
128K Context | Long context |
|
Architecture
|
Transformer (Open Weight) | Dense Transformer |
|
Est. MMLU Score
|
~60-64% | ~75-79% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
5 RPM, 30K uncached / 90K total TPM, 1M tokens per hour and per day (Free Trial) | 40 requests/minute |
|
Daily Limit
|
1M tokens/day | - |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
C-Tier (Good) | B-Tier (Strong) |
|
Speed Estimate
|
⚡ Very Fast | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
27B | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
Qwen 3.8 27B
vs
DeepSeek: R1 (free)
DeepSeek V4 Pro (0813)
vs
DeepSeek: R1 (free)
Qwen 3.8 27B
vs
DeepSeek: R1 Distill Llama 70B (free)
DeepSeek V4 Pro (0813)
vs
DeepSeek: R1 Distill Llama 70B (free)
Qwen 3.8 27B
vs
Qwen 2.5 7B Instruct (free)
DeepSeek V4 Pro (0813)
vs
Qwen 2.5 7B Instruct (free)
DeepSeek V4 Pro (0813)
vs
Qwen 2.5 VL 72B Instruct (free)
DeepSeek V4 Pro (0813)
vs
DeepSeek: V4 Flash (free)
DeepSeek V4 Pro (0813)
vs
Qwen3.8 27B
DeepSeek V4 Pro (0813)
vs
DeepSeek-R1 (Free)
DeepSeek V4 Pro (0813)
vs
DeepSeek Coder V2
DeepSeek V4 Pro (0813)
vs
Qwen 2.5 72B Instruct