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GLM 4.5 vs Qwen3.6 27B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 4.5 and Qwen3.6 27B.

Zhipu AI

GLM 4.5

GLM-4.5 is our latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly...

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Alibaba

Qwen3.6 27B

Qwen3.6 27B is a dense 27-billion-parameter language model from the Qwen Team at Alibaba, released in April 2026. It features hybrid multimodal capabilities โ€” accepting text, image, and video inputs...

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Technical Specifications

SpecificationGLM 4.5Qwen3.6 27B
ProviderZhipu AIAlibaba
Context Window131,072 tokens262,144 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-07-252026-04-27

API Pricing Comparison

Input Price per Million Tokens

GLM 4.5

$0.60

Qwen3.6 27B

$0.28

Output Price per Million Tokens

GLM 4.5

$2.20

Qwen3.6 27B

$2.40

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

GLM 4.5 Quirks & Gotchas

No developer gotchas reported.

Qwen3.6 27B Quirks & Gotchas

No developer gotchas reported.