Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
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Qwen 3.8 27B

Cerebras

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 128K Context
Pricing Model Free / Open

GLM-4.7-Flash

A-TIER

Z.AI (GLM)

Intelligence Score 83/100
Context Window 128K
Pricing Model Free / Open
Model Popularity 0 votes
FINAL VERDICT

GLM-4.7-Flash Wins

With an intelligence score of 83/100 vs 65/100, GLM-4.7-Flash outperforms Qwen 3.8 27B by 18 points.

Clear Winner: Significant performance advantage for GLM-4.7-Flash.
HEAD-TO-HEAD

Detailed Comparison

Feature
Qwen 3.8 27B
GLM-4.7-Flash
Context Window
128K Context 128K
Architecture
Transformer (Open Weight) 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) ~1 request/second (Flash models)
Daily Limit
1M tokens/day ~1,000 requests/day (Flash tier)
Capabilities
No specific data
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
⚡ Very Fast ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
27B Undisclosed
Limitations
  • Rate limited on free tier (30 RPM)
  • Daily token cap of 1M tokens
  • Free Flash tier capped near 1 request/second
  • Flagship GLM-5.2 model requires a paid plan
  • Free-tier limits have changed more than once in the past year — verify on docs.z.ai
Key Strengths
  • Instant Token Generation
  • Wafer-Scale Engine Speed
  • OpenAI API Compatibility
  • GLM-4.5-Flash & GLM-4.7-Flash Free Access
  • Strong Coding Benchmarks
  • OpenAI-Compatible Endpoint

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