Battle of the Models
Compare specific LLM models, context windows, and capabilities.
GLM-4.5-Flash
A-TIERZ.AI (GLM)
Intelligence Score
83/100
Model Popularity
0 votes
Context Window
128K
Pricing Model
Free / Open
PrismML Ternary Bonsai 27B (Free)
Together.AI
Intelligence Score
65/100
Context Window
Varies
Pricing Model
Free / Open
Model Popularity
0 votes
FINAL VERDICT
GLM-4.5-Flash Wins
With an intelligence score of 83/100 vs 65/100, GLM-4.5-Flash outperforms PrismML Ternary Bonsai 27B (Free) by 18 points.
Clear Winner: Significant performance advantage for GLM-4.5-Flash.
HEAD-TO-HEAD
Detailed Comparison
| Feature |
GLM-4.5-Flash
|
PrismML Ternary Bonsai 27B (Free)
|
|---|---|---|
|
Context Window
|
128K | Varies |
|
Architecture
|
Transformer | Transformer |
|
Est. MMLU Score
|
~75-79% | ~60-64% |
|
Release Date
|
2024 | 2024 |
|
Pricing Model
|
Free Tier | Free Tier |
|
Rate Limit (RPM)
|
~1 request/second (Flash models) | Subject to availability |
|
Daily Limit
|
~1,000 requests/day (Flash tier) | Unlimited (Research Preview) |
|
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
GLM-4.5-Flash
vs
Llama 4 Scout Instruct (Free)
PrismML Ternary Bonsai 27B (Free)
vs
Llama 4 Scout Instruct (Free)
GLM-4.5-Flash
vs
DeepSeek-R1 (Free)
PrismML Ternary Bonsai 27B (Free)
vs
DeepSeek-R1 (Free)
GLM-4.5-Flash
vs
Apriel 1.6 15B Thinker (Free)
PrismML Ternary Bonsai 27B (Free)
vs
Apriel 1.6 15B Thinker (Free)
PrismML Ternary Bonsai 27B (Free)
vs
Apriel 1.5 15B Thinker (Free)
PrismML Ternary Bonsai 27B (Free)
vs
GLM-4.7-Flash