head-to-head

DeepSeek: DeepSeek V4.1 Flash vs Z.ai: GLM Flash Latest

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.

DeepSeek: DeepSeek V4.1 Flash Z.ai: GLM Flash Latest
Vendordeepseek~z-ai
Quality Score100100
Benchmark Score66.3-
Input Price$0.00/M$0.03/M
Output Price$2.40/M$0.50/M
Context Window1,048,5761,048,576
Max Output943,718131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index65.1-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GLM Flash Latest costs $0.16 and DeepSeek V4.1 Flash costs $0.60, so GLM Flash Latest is about 3.8 times cheaper for the same work.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Only GLM Flash Latest offers video input.

Across the 20 tasks where they differ, DeepSeek V4.1 Flash scores higher on 18 (SQL Generation, Code Review, Code Completion and others), GLM Flash Latest on 2 (JSON Extraction, Bulk Data Labeling).

DeepSeek V4.1 Flash was released in September 2026 and GLM Flash Latest in August 2026.

Pick DeepSeek V4.1 Flash if you need the stronger all-round task scores; pick GLM Flash Latest if you need lower cost or video input.

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?

TaskDeepSeek: DeepSeek V4.1 FlashZ.ai: GLM Flash Latest
SQL Generation 141 133
Code Review 144 132
Code Completion 132 131
Code Refactoring 146 136
Bug Fixing 148 136
Unit Test Generation 131 124
Code Documentation 137 131
Regex Writing 126 119
CI/CD Pipelines 127 120
Frontend Component Design 129 122
Data Analysis 133 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 137 128
JSON Extraction 131 131
Bulk Data Labeling 129 129
OCR / Document Parsing 134 131
Table Extraction from PDFs 134 131
Long-Document Summarization 148 137
Short-Form Summarization 126 123
Blog Post Writing 129 121

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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