Z.ai: GLM Flash Latest vs ByteDance Seed: Seed 2.1 Turbo
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| Z.ai: GLM Flash Latest | ByteDance Seed: Seed 2.1 Turbo | |
|---|---|---|
| Vendor | ~z-ai | bytedance-seed |
| Quality Score | 100 | 100 |
| Input Price | $0.05/M | $0.50/M |
| Output Price | $0.20/M | $2.50/M |
| Context Window | 1,048,576 | 262,144 |
| Max Output | 943,718 | 235,929 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GLM Flash Latest costs $0.098 and Seed 2.1 Turbo costs $1.12, so GLM Flash Latest is about 11.5 times cheaper for the same work.
GLM Flash Latest reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Seed 2.1 Turbo.
Across the 18 tasks where they differ, GLM Flash Latest scores higher on 18 (SQL Generation, Code Review, Code Completion and others).
Pick GLM Flash Latest if you need lower cost, long documents 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 Flash Latest | ByteDance Seed: Seed 2.1 Turbo |
|---|---|---|
| SQL Generation | 134 | 130 |
| Code Review | 132 | 126 |
| Code Completion | 132 | 128 |
| Code Refactoring | 136 | 127 |
| Bug Fixing | 136 | 130 |
| Unit Test Generation | 124 | 121 |
| Code Documentation | 132 | 125 |
| Regex Writing | 120 | 119 |
| CI/CD Pipelines | 120 | 117 |
| CSV / Spreadsheet Cleanup | 134 | 128 |
| ETL Scripting | 128 | 122 |
| JSON Extraction | 132 | 131 |
| Bulk Data Labeling | 129 | 129 |
| OCR / Document Parsing | 131 | 128 |
| Table Extraction from PDFs | 131 | 128 |
| Long-Document Summarization | 138 | 129 |
| Short-Form Summarization | 124 | 123 |
| Blog Post Writing | 122 | 118 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →