Battle of the Models

Compare specific LLM models, context windows, and capabilities.

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VS
No matches found

Qwen3.6 35B A3B

Hetzner Inference API

Intelligence Score 65/100
Model Popularity 0 votes
Context Window 262K
Pricing Model Free / Open
View Provider Analysis →

GLM-4.7-Flash

A-TIER

Z.AI (GLM)

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

GLM-4.7-Flash Wins

With an intelligence score of 83/100 vs 65/100, GLM-4.7-Flash outperforms Qwen3.6 35B A3B by 18 points.

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

Detailed Comparison

Feature
Qwen3.6 35B A3B
GLM-4.7-Flash
Context Window
262K 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)
3M input / 60K output tokens per 60s ~1 request/second (Flash models)
Daily Limit
500M input / 5M output tokens per 24h ~1,000 requests/day (Flash tier)
Capabilities
Vision Reasoning
No specific data
Performance Tier
C-Tier (Good) B-Tier (Strong)
Speed Estimate
Medium ⚡ Very Fast
Primary Use Case
General Purpose ⚡ Fast Chat & Apps
Model Size
35B Undisclosed
Limitations
  • Experimental — no SLA, could be discontinued or paywalled at any time
  • Only one model currently offered
  • No official uptime/support guarantees
  • 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
  • OpenAI-compatible endpoint — swap base_url + key
  • EU data residency
  • MoE model with 262K context and image input
  • GLM-4.5-Flash & GLM-4.7-Flash Free Access
  • Strong Coding Benchmarks
  • OpenAI-Compatible Endpoint

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