GLM-5.2 vs Qwen3.6-27B: Specs & Benchmark Comparison

GLM-5.2 is developed by Zhipu AI, while Qwen3.6-27B comes from Alibaba. Qwen3.6-27B was released in April 2026, and GLM-5.2 followed 2 months later in June 2026. GLM-5.2 is the larger model at roughly 753 billion parameters, against 28 billion for Qwen3.6-27B.

The two models share 8 published benchmarks. GLM-5.2 leads on 8 of them. The widest gaps are on Humanity's Last Exam, where GLM-5.2 scores 54.7% against 24.0%; NL2Repo, where GLM-5.2 scores 48.9% against 36.2%. Averaged across everything we track, GLM-5.2 sits at 60.9% and Qwen3.6-27B at 77.5%.

Qwen3.6-27B is the cheaper API at $0.60 per million input tokens and $3.60 per million output tokens, roughly 2 times cheaper than GLM-5.2 at $1.40 and $4.40. GLM-5.2 takes the larger context window at 1M tokens, compared with 262K for Qwen3.6-27B. GLM-5.2 accepts text as input, while Qwen3.6-27B accepts text and images.

CharacteristicGLM-5.2Qwen3.6-27B
CompanyZhipu AIAlibaba
Release DateJune 16, 2026April 21, 2026
Parameters753B28B
MultimodalNoYes
Context (input)1.0M262K
Context (output)131K66K
Input Price / 1M$1.40$0.60
Output Price / 1M$4.40$3.60
Average Score60.9%77.5%
Benchmarks
Humanity's Last Exam54.7%24.0%
NL2Repo48.9%36.2%
IMO-AnswerBench91.0%80.8%
SWE-Bench Pro62.1%53.5%
HMMT Feb 2692.5%84.3%
AIME 202699.0%94.1%
GPQA91.0%87.8%
HMMT 202594.0%93.8%

Visual Benchmark Comparison

GLM-5.2
Qwen3.6-27B
Humanity's Last Exam0.5 vs 0.2
0.5
0.2
NL2Repo0.5 vs 0.4
0.5
0.4
IMO-AnswerBench0.9 vs 0.8
0.9
0.8
SWE-Bench Pro0.6 vs 0.5
0.6
0.5
HMMT Feb 260.9 vs 0.8
0.9
0.8
AIME 20261.0 vs 0.9
1.0
0.9
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 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-5.2 — 0.6, Qwen3.6-27B — 0.8.

API Cost

Qwen3.6-27B is 1.4x cheaper: input $0.60/1M vs $1.40/1M tokens.

Context Window

GLM-5.2 supports a larger context: 1M vs 262K tokens.

Recency

GLM-5.2 is newer: released 6/16/2026 vs 4/21/2026.

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Frequently Asked Questions

Which is better for coding — GLM-5.2 or Qwen3.6-27B?
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 Qwen3.6-27B?
Qwen3.6-27B is cheaper for input: $0.60 per 1M tokens vs $1.40.
Which has a larger context window — GLM-5.2 or Qwen3.6-27B?
GLM-5.2 supports a larger context: 1,048,576 tokens vs 262,144.

The GLM-5.2 and Qwen3.6-27B 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 Qwen3.6-27B page. See also the complete list of AI model comparisons.