GLM-5.3 vs Qwen3.8 Flash Next: Specs & Benchmark Comparison
GLM-5.3 is developed by Zhipu AI, while Qwen3.8 Flash Next comes from Alibaba. Both were released in August 2026. GLM-5.3 is the larger model at roughly 753 billion parameters, against 180 billion for Qwen3.8 Flash Next.
The two models share 3 published benchmarks. Qwen3.8 Flash Next leads on 2 of them, GLM-5.3 on 1. The widest gaps are on Agents' Last Exam, where Qwen3.8 Flash Next scores 51.2% against 28.5%; DeepSWE 1.1, where GLM-5.3 scores 66.9% against 58.7%. Averaged across everything we track, GLM-5.3 sits at 52.2% and Qwen3.8 Flash Next at 69.7%.
Qwen3.8 Flash Next is the cheaper API at $0.16 per million input tokens and $0.47 per million output tokens, roughly 9 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 Qwen3.8 Flash Next accepts text, images, and video.
| Characteristic | GLM-5.3 | Qwen3.8 Flash Next |
|---|---|---|
| Company | Zhipu AI | Alibaba |
| Release Date | August 14, 2026 | August 26, 2026 |
| Parameters | 753B | 180B |
| Multimodal | No | Yes |
| Context (input) | 1.0M | 1.0M |
| Context (output) | 131K | 66K |
| Input Price / 1M | $1.40 | $0.16 |
| Output Price / 1M | $4.40 | $0.47 |
| Average Score | 52.2% | 69.7% |
| Benchmarks | ||
| Agents' Last Exam | 28.5% | 51.2% |
| DeepSWE 1.1 | 66.9% | 58.7% |
| Toolathlon | 73.0% | 73.5% |
Visual Benchmark Comparison
Verdict
Qwen3.8 Flash Next leads in 1 out of 4 comparison categories.
Both models show comparable average scores: GLM-5.3 — 0.5, Qwen3.8 Flash Next — 0.7.
Qwen3.8 Flash Next is 9.2x cheaper: input $0.16/1M vs $1.40/1M tokens.
Same context size: 1M tokens.
Both models were released around the same time: 8/14/2026 and 8/26/2026.
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Frequently Asked Questions
Which is better for coding — GLM-5.3 or Qwen3.8 Flash Next?
Which model is cheaper — GLM-5.3 or Qwen3.8 Flash Next?
Which has a larger context window — GLM-5.3 or Qwen3.8 Flash Next?
The GLM-5.3 and Qwen3.8 Flash Next 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 Flash Next page. See also the complete list of AI model comparisons.