Z.ai: GLM 5.3 Flash vs Z.ai: GLM 5.3 Flash (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.
| Z.ai: GLM 5.3 Flash | Z.ai: GLM 5.3 Flash (batch) | |
|---|---|---|
| Vendor | z-ai | z-ai |
| Quality Score | 100 | 100 |
| Benchmark Score | 70.6 | 70.6 |
| Input Price | $0.15/M | $0.06/M |
| Output Price | $0.50/M | $0.20/M |
| Context Window | 1,048,576 | 1,048,576 |
| Max Output | 943,717 | 131,072 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 69.0 | 69.0 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GLM 5.3 Flash (batch) costs $0.11 and GLM 5.3 Flash costs $0.28, so GLM 5.3 Flash (batch) is about 2.5 times cheaper for the same work.
Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.
Across the 6 tasks where they differ, GLM 5.3 Flash (batch) on 6 (SQL Generation, Code Completion, Code Documentation and others).
Pick GLM 5.3 Flash (batch) if you need lower cost or the stronger all-round task scores.
Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.
Who wins by task?
| Task | Z.ai: GLM 5.3 Flash | Z.ai: GLM 5.3 Flash (batch) |
|---|---|---|
| SQL Generation | 142 | 142 |
| Code Completion | 133 | 133 |
| Code Documentation | 138 | 138 |
| Bulk Data Labeling | 129 | 129 |
| Short-Form Summarization | 127 | 127 |
| Blog Post Writing | 130 | 130 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →