GLM-5.3 vs Qwen3.8-27B: Specs & Benchmark Comparison
GLM-5.3 is developed by Zhipu AI, while Qwen3.8-27B comes from Alibaba. Both were released in August 2026. GLM-5.3 is the larger model at roughly 753 billion parameters, against 28 billion for Qwen3.8-27B.
The two models share 5 published benchmarks. GLM-5.3 leads on 4 of them, Qwen3.8-27B on 1. The widest gaps are on Humanity's Last Exam, where GLM-5.3 scores 62.5% against 30.8%; DeepSWE 1.1, where GLM-5.3 scores 66.9% against 42.2%. Averaged across everything we track, GLM-5.3 sits at 52.2% and Qwen3.8-27B at 66.3%.
GLM-5.3 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 Qwen3.8-27B, so pricing and context cannot be compared directly.
| Characteristic | GLM-5.3 | Qwen3.8-27B |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | August 14, 2026 | August 14, 2026 |
| Parameters | 753B | 28B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | — |
| Context (output) | 131K | — |
| Input Price / 1M | $1.40 | — |
| Output Price / 1M | $4.40 | — |
| Average Score | 52.2% | 66.3% |
| Benchmarks | ||
| Humanity's Last Exam | 62.5% | 30.8% |
| DeepSWE 1.1 | 66.9% | 42.2% |
| NL2Repo | 58.0% | 42.3% |
| Terminal-Bench 2.1 | 88.0% | 73.0% |
| Agents' Last Exam | 28.5% | 42.9% |
Visual Benchmark Comparison
Verdict
Both models show equal results — the choice depends on your specific use case.
Both models show comparable average scores: GLM-5.3 — 0.5, Qwen3.8-27B — 0.7.
Both models were released around the same time: 8/14/2026 and 8/14/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.3 or Qwen3.8-27B?
Which model is cheaper — GLM-5.3 or Qwen3.8-27B?
Which has a larger context window — GLM-5.3 or Qwen3.8-27B?
The GLM-5.3 and Qwen3.8-27B comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the GLM-5.3 or Qwen3.8-27B page. See also the complete list of AI model comparisons.