GLM-5.3 vs Qwen3.8 Max: Specs & Benchmark Comparison

GLM-5.3 is developed by Zhipu AI, while Qwen3.8 Max comes from Alibaba. Both were released in August 2026. Qwen3.8 Max is the larger model at roughly 2.4 trillion parameters, against 753 billion for GLM-5.3.

The two models share 8 published benchmarks. GLM-5.3 leads on 7 of them, Qwen3.8 Max on 1. The widest gaps are on Agents' Last Exam, where Qwen3.8 Max scores 52.4% against 28.5%; AutomationBench, where GLM-5.3 scores 48.2% against 27.3%. Averaged across everything we track, GLM-5.3 sits at 52.2% and Qwen3.8 Max at 71.0%.

GLM-5.3 is the cheaper API at $1.40 per million input tokens and $4.40 per million output tokens, about 79% below Qwen3.8 Max at $2.50 and $6.25. Both accept a context window of about 1M tokens. GLM-5.3 accepts text as input, while Qwen3.8 Max accepts text and images.

CharacteristicGLM-5.3Qwen3.8 Max
CompanyZhipu AIAlibaba
Release DateAugust 14, 2026August 2, 2026
Parameters753B2.4T
MultimodalNoYes
Context (input)1.0M1.0M
Context (output)131K131K
Input Price / 1M$1.40$2.50
Output Price / 1M$4.40$6.25
Average Score52.2%71.0%
Benchmarks
Agents' Last Exam28.5%52.4%
AutomationBench48.2%27.3%
Humanity's Last Exam62.5%43.6%
DeepSWE 1.166.9%56.6%
FrontierSWE78.0%73.5%
NL2Repo58.0%55.9%
Terminal-Bench 2.188.0%86.6%
Toolathlon73.0%72.5%

Visual Benchmark Comparison

GLM-5.3
Qwen3.8 Max
Agents' Last Exam0.3 vs 0.5
0.3
0.5
AutomationBench0.5 vs 0.3
0.5
0.3
Humanity's Last Exam0.6 vs 0.4
0.6
0.4
DeepSWE 1.10.7 vs 0.6
0.7
0.6
FrontierSWE0.8 vs 0.7
0.8
0.7
NL2Repo0.6 vs 0.6
0.6
0.6
Terminal-Bench 2.10.9 vs 0.9
0.9
0.9
Toolathlon0.7 vs 0.7
0.7
0.7

Verdict

GLM-5.3 leads in 2 out of 4 comparison categories.

Overall Performance

Both models show comparable average scores: GLM-5.3 — 0.5, Qwen3.8 Max — 0.7.

API Cost

GLM-5.3 is 1.5x cheaper: input $1.40/1M vs $2.50/1M tokens.

Context Window

GLM-5.3 supports a larger context: 1M vs 1M tokens.

Recency

Both models were released around the same time: 8/14/2026 and 8/2/2026.

More About These Models

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Frequently Asked Questions

Which is better for coding — GLM-5.3 or Qwen3.8 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-5.3 or Qwen3.8 Max?
GLM-5.3 is cheaper for input: $1.40 per 1M tokens vs $2.50.
Which has a larger context window — GLM-5.3 or Qwen3.8 Max?
GLM-5.3 supports a larger context: 1,048,576 tokens vs 1,000,000.

The GLM-5.3 and Qwen3.8 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-5.3 or Qwen3.8 Max page. See also the complete list of AI model comparisons.