GLM-5.3 vs Qwen3.6 Plus: Specs & Benchmark Comparison
GLM-5.3 is developed by Zhipu AI, while Qwen3.6 Plus comes from Alibaba. Qwen3.6 Plus was released in March 2026, and GLM-5.3 followed 5 months later in August 2026. GLM-5.3 has a published size of about 753 billion parameters; Alibaba has not disclosed the parameter count of Qwen3.6 Plus.
The two models share 4 published benchmarks. GLM-5.3 leads on 4 of them. The widest gaps are on FrontierSWE, where GLM-5.3 scores 78.0% against 22.0%; Humanity's Last Exam, where GLM-5.3 scores 62.5% against 28.8%. Averaged across everything we track, GLM-5.3 sits at 52.2% and Qwen3.6 Plus at 74.5%.
Qwen3.6 Plus is the cheaper API at $0.50 per million input tokens and $3 per million output tokens, roughly 3 times cheaper than GLM-5.3 at $1.40 and $4.40. Both accept a context window of about 1M tokens. GLM-5.3 accepts text as input, while Qwen3.6 Plus accepts text and images.
| Characteristic | GLM-5.3 | Qwen3.6 Plus |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | August 14, 2026 | March 31, 2026 |
| Parameters | 753B | — |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 131K | 66K |
| Input Price / 1M | $1.40 | $0.50 |
| Output Price / 1M | $4.40 | $3.00 |
| Average Score | 52.2% | 74.5% |
| Benchmarks | ||
| FrontierSWE | 78.0% | 22.0% |
| Humanity's Last Exam | 62.5% | 28.8% |
| Toolathlon | 73.0% | 39.8% |
| NL2Repo | 58.0% | 37.9% |
Visual Benchmark Comparison
Verdict
GLM-5.3 leads in 2 out of 4 comparison categories.
Both models show comparable average scores: GLM-5.3 — 0.5, Qwen3.6 Plus — 0.7.
Qwen3.6 Plus is 1.7x cheaper: input $0.50/1M vs $1.40/1M tokens.
GLM-5.3 supports a larger context: 1M vs 1M tokens.
GLM-5.3 is newer: released 8/14/2026 vs 3/31/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.3 or Qwen3.6 Plus?
Which model is cheaper — GLM-5.3 or Qwen3.6 Plus?
Which has a larger context window — GLM-5.3 or Qwen3.6 Plus?
The GLM-5.3 and Qwen3.6 Plus 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 Qwen3.6 Plus page. See also the complete list of AI model comparisons.