GLM-5.2 vs Qwen3.5 27B: Specs & Benchmark Comparison

GLM-5.2 is developed by Zhipu AI, while Qwen3.5 27B comes from Alibaba. Qwen3.5 27B was released in March 2026, and GLM-5.2 followed 3 months later in June 2026. GLM-5.2 is the larger model at roughly 753 billion parameters, against 27 billion for Qwen3.5 27B.

The two models share 3 published benchmarks. GLM-5.2 leads on 3 of them. The widest gaps are on Humanity's Last Exam, where GLM-5.2 scores 54.7% against 48.5%; GPQA, where GLM-5.2 scores 91.0% against 85.5%. Averaged across everything we track, GLM-5.2 sits at 60.9% and Qwen3.5 27B at 70.3%.

GLM-5.2 is available through an API at $1.40 per million input tokens with a 1M-token context window. We do not track a hosted API for Qwen3.5 27B, so pricing and context cannot be compared directly.

CharacteristicGLM-5.2Qwen3.5 27B
CompanyZhipu AIAlibaba
Release DateJune 16, 2026March 1, 2026
Parameters753B27B
MultimodalNoNo
Context (input)1.0M—
Context (output)131K—
Input Price / 1M$1.40—
Output Price / 1M$4.40—
Average Score60.9%70.3%
Benchmarks
Humanity's Last Exam54.7%48.5%
GPQA91.0%85.5%
HMMT 202594.0%92.0%

Visual Benchmark Comparison

GLM-5.2
Qwen3.5 27B
Humanity's Last Exam0.5 vs 0.5
0.5
0.5
GPQA0.9 vs 0.9
0.9
0.9
HMMT 20250.9 vs 0.9
0.9
0.9

Verdict

GLM-5.2 leads in 1 out of 2 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-5.2 — 0.6, Qwen3.5 27B — 0.7.

Recency

GLM-5.2 is newer: released 6/16/2026 vs 3/1/2026.

More About These Models

Frequently Asked Questions

Which is better for coding — GLM-5.2 or Qwen3.5 27B?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — GLM-5.2 or Qwen3.5 27B?
API pricing data is available on the individual model pages.
Which has a larger context window — GLM-5.2 or Qwen3.5 27B?
Context window data is available on the individual model pages.

The GLM-5.2 and Qwen3.5 27B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.2 or Qwen3.5 27B page. See also the complete list of AI model comparisons.