Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek V4 Pro (0813)
A-TIERNVIDIA NIM
Intelligence Score
80/100
Model Popularity
0 votes
Context Window
Long context
Pricing Model
Free / Open
Qwen3 235B A22B Instruct 2507
Nebius (Token Factory)
Intelligence Score
76/100
Context Window
256K Context
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
DeepSeek V4 Pro (0813) Wins
With an intelligence score of 80/100 vs 76/100, DeepSeek V4 Pro (0813) outperforms Qwen3 235B A22B Instruct 2507 by 4 points.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
DeepSeek V4 Pro (0813)
|
Qwen3 235B A22B Instruct 2507
|
|---|---|---|
|
Context Window
|
Long context | 256K Context |
|
Architecture
|
Dense Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~70-74% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
40 requests/minute | 60 RPM |
|
Daily Limit
|
- | Credit-based |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | B-Tier (Strong) |
|
Speed Estimate
|
Medium | Medium |
|
Primary Use Case
|
General Purpose | General Purpose |
|
Model Size
|
Undisclosed | 235B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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