head-to-head

OpenAI: GPT Mini Latest vs Qwen: Qwen3.5-35B-A3B

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

OpenAI: GPT Mini Latest Qwen: Qwen3.5-35B-A3B
Vendor~openaiqwen
Quality Score100100
Benchmark Score-47.9
Input Price$0.75/M$0.14/M
Output Price$4.50/M$1.00/M
Context Window400,000262,144
Max Output128,00081,920
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-48.3

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-35B-A3B costs $0.39 and GPT Mini Latest costs $1.88, so Qwen3.5-35B-A3B is about 4.8 times cheaper for the same work.

GPT Mini Latest reads up to 400,000 tokens at once, roughly 600 pages of text, against about 393 pages for Qwen3.5-35B-A3B.

Only Qwen3.5-35B-A3B offers video input.

Across the 20 tasks where they differ, GPT Mini Latest scores higher on 7 (Code Completion, Code Refactoring, Code Documentation and others), Qwen3.5-35B-A3B on 13 (SQL Generation, Code Review, Bug Fixing and others).

GPT Mini Latest was released in April 2026 and Qwen3.5-35B-A3B in February 2026.

Pick GPT Mini Latest if you need long documents; pick Qwen3.5-35B-A3B 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?

TaskOpenAI: GPT Mini LatestQwen: Qwen3.5-35B-A3B
SQL Generation 133 136
Code Review 132 135
Code Completion 130 130
Code Refactoring 136 135
Bug Fixing 136 139
Unit Test Generation 124 127
Code Documentation 130 130
Regex Writing 119 124
CI/CD Pipelines 120 123
Frontend Component Design 122 127
Data Analysis 124 131
CSV / Spreadsheet Cleanup 133 130
ETL Scripting 128 129
JSON Extraction 130 131
Bulk Data Labeling 128 129
OCR / Document Parsing 131 130
Table Extraction from PDFs 131 130
Long-Document Summarization 137 137
Short-Form Summarization 123 126
Blog Post Writing 121 124

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

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