GLM-5.2 vs Qwen3.7 Max: Specs & Benchmark Comparison

GLM-5.2 is developed by Zhipu AI, while Qwen3.7 Max comes from Alibaba. Qwen3.7 Max was released in May 2026, and GLM-5.2 followed a month later in June 2026. GLM-5.2 has a published size of about 753 billion parameters; Alibaba has not disclosed the parameter count of Qwen3.7 Max.

The two models share 8 published benchmarks. GLM-5.2 leads on 6 of them, Qwen3.7 Max on 2. The widest gaps are on Humanity's Last Exam, where GLM-5.2 scores 54.7% against 41.4%; CritPT, where GLM-5.2 scores 16.7% against 11.4%. Averaged across everything we track, GLM-5.2 sits at 60.9% and Qwen3.7 Max at 73.6%.

GLM-5.2 is the cheaper API at $1.40 per million input tokens and $4.40 per million output tokens, about 79% below Qwen3.7 Max at $2.50 and $7.50. Both accept a context window of about 1M tokens.

CharacteristicGLM-5.2Qwen3.7 Max
CompanyZhipu AIAlibaba
Release DateJune 16, 2026May 19, 2026
Parameters753B
MultimodalNoNo
Context (input)1.0M1.0M
Context (output)131K66K
Input Price / 1M$1.40$2.50
Output Price / 1M$4.40$7.50
Average Score60.9%73.6%
Benchmarks
Humanity's Last Exam54.7%41.4%
CritPT16.7%11.4%
HMMT Feb 2692.5%97.0%
NL2Repo48.9%47.2%
SWE-Bench Pro62.1%60.6%
GPQA91.0%92.4%
IMO-AnswerBench91.0%90.0%
MCP Atlas76.8%76.4%

Visual Benchmark Comparison

GLM-5.2
Qwen3.7 Max
Humanity's Last Exam0.5 vs 0.4
0.5
0.4
CritPT0.2 vs 0.1
0.2
0.1
HMMT Feb 260.9 vs 1.0
0.9
1.0
NL2Repo0.5 vs 0.5
0.5
0.5
SWE-Bench Pro0.6 vs 0.6
0.6
0.6
GPQA0.9 vs 0.9
0.9
0.9
IMO-AnswerBench0.9 vs 0.9
0.9
0.9
MCP Atlas0.8 vs 0.8
0.8
0.8

Verdict

GLM-5.2 leads in 3 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-5.2 — 0.6, Qwen3.7 Max — 0.7.

API Cost

GLM-5.2 is 1.7x cheaper: input $1.40/1M vs $2.50/1M tokens.

Context Window

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

Recency

GLM-5.2 is newer: released 6/16/2026 vs 5/19/2026.

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Frequently Asked Questions

Which is better for coding — GLM-5.2 or Qwen3.7 Max?
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 Qwen3.7 Max?
GLM-5.2 is cheaper for input: $1.40 per 1M tokens vs $2.50.
Which has a larger context window — GLM-5.2 or Qwen3.7 Max?
GLM-5.2 supports a larger context: 1,048,576 tokens vs 1,000,000.

The GLM-5.2 and Qwen3.7 Max 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 Qwen3.7 Max page. See also the complete list of AI model comparisons.