head-to-head

Xiaomi: MiMo-V2.6-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.

Xiaomi: MiMo-V2.6-Flash Z.ai: GLM 5.3 Flash (batch)
Vendorxiaomiz-ai
Quality Score100100
Benchmark Score63.370.6
Input Price$0.14/M$0.06/M
Output Price$0.28/M$0.20/M
Context Window1,050,0001,048,576
Max Output131,072131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index62.569.0

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 MiMo-V2.6-Flash costs $0.21, so GLM 5.3 Flash (batch) is about 1.9 times cheaper for the same work.

Both take in a similar amount of text: 1,050,000 and 1,048,576 tokens, about 1,575 and 1,573 pages.

Only MiMo-V2.6-Flash offers audio input.

On our blended benchmark score GLM 5.3 Flash (batch) leads 70.6 to 63.3.

Across the 18 tasks where they differ, GLM 5.3 Flash (batch) on 18 (SQL Generation, Code Review, Code Completion and others).

MiMo-V2.6-Flash was released in September 2026 and GLM 5.3 Flash (batch) in August 2026.

Pick MiMo-V2.6-Flash if you need audio input; pick GLM 5.3 Flash (batch) if you need lower cost, benchmark performance 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?

TaskXiaomi: MiMo-V2.6-FlashZ.ai: GLM 5.3 Flash (batch)
SQL Generation 141 142
Code Review 143 145
Code Completion 133 133
Code Refactoring 146 147
Bug Fixing 147 149
Unit Test Generation 131 132
Code Documentation 137 138
Regex Writing 126 126
CI/CD Pipelines 127 128
Frontend Component Design 129 130
Data Analysis 133 134
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 136 137
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 148 149
Short-Form Summarization 127 127
Blog Post Writing 129 130

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

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