Battle of the Models
Compare specific LLM models, context windows, and capabilities.
MiniMax M2.7
DEPRECATEDGroq
This model is no longer active/free — kept for reference.
Intelligence Score
81/100
Model Popularity
0 votes
Context Window
196K tokens
Pricing Model
Free / Open
DeepSeek V4 Pro
DEPRECATEDOnomeo
This model is no longer active/free — kept for reference.
Intelligence Score
80/100
Context Window
Unknown
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
MiniMax M2.7 Wins
With an intelligence score of 81/100 vs 80/100, MiniMax M2.7 outperforms DeepSeek V4 Pro by 1 point.
Close Match: The difference is minimal. Consider other factors like pricing and features.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
MiniMax M2.7
|
DeepSeek V4 Pro
|
|---|---|---|
|
Context Window
|
196K tokens | Unknown |
|
Architecture
|
Transformer | Dense Transformer |
|
Est. MMLU Score
|
~75-79% | ~75-79% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
30 RPM; 8K TPM on most chat models (varies by model) | 12 requests/minute per key |
|
Daily Limit
|
1,000 requests/day and 200K tokens/day on gpt-oss / Qwen (varies by model) | 30 free-model calls every 5 hours per account |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | B-Tier (Strong) |
|
Speed Estimate
|
⚡ Very Fast | Medium |
|
Primary Use Case
|
⚡ Fast Chat & Apps | General Purpose |
|
Model Size
|
Undisclosed | Undisclosed |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
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