Battle of the Models
Compare specific LLM models, context windows, and capabilities.
MiniMax M2.7
A-TIERGroq
Intelligence Score
81/100
Model Popularity
0 votes
Context Window
196K tokens
Pricing Model
Free / Open
Qwen3.6 27B
Groq
Intelligence Score
65/100
Context Window
131K tokens
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
MiniMax M2.7 Wins
With an intelligence score of 81/100 vs 65/100, MiniMax M2.7 outperforms Qwen3.6 27B by 16 points.
Clear Winner: Significant performance advantage for MiniMax M2.7.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
MiniMax M2.7
|
Qwen3.6 27B
|
|---|---|---|
|
Context Window
|
196K tokens | 131K tokens |
|
Architecture
|
Transformer | Transformer (Open Weight) |
|
Est. MMLU Score
|
~75-79% | ~60-64% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
30 RPM, 14.4k RPD | 30 RPM, 14.4k RPD |
|
Daily Limit
|
14,400 Requests/Day | 14,400 Requests/Day |
|
Capabilities
|
No specific data
|
No specific data
|
|
Performance Tier
|
B-Tier (Strong) | C-Tier (Good) |
|
Speed Estimate
|
⚡ Very Fast | ⚡ Very Fast |
|
Primary Use Case
|
⚡ Fast Chat & Apps | General Purpose |
|
Model Size
|
Undisclosed | 27B |
|
Limitations
|
|
|
|
Key Strengths
|
|
|
Similar Comparisons
MiniMax M2.7
vs
Llama Guard 4 12B
Qwen3.6 27B
vs
Llama Guard 4 12B
MiniMax M2.7
vs
Moonshot Kimi K2
Qwen3.6 27B
vs
Moonshot Kimi K2
MiniMax M2.7
vs
Moonshot Kimi K2 0905
Qwen3.6 27B
vs
Moonshot Kimi K2 0905
Qwen3.6 27B
vs
GPT-OSS 120B
Qwen3.6 27B
vs
GPT-OSS 20B
Qwen3.6 27B
vs
GPT-OSS Safeguard 20B
Qwen3.6 27B
vs
Qwen3 32B
Qwen3.6 27B
vs
Allam 2 7B
Qwen3.6 27B
vs
Llama 3.1 8B