head-to-head

OpenAI: GPT-5.4 Nano vs ByteDance Seed: Seed-2.0-Mini

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

OpenAI: GPT-5.4 Nano ByteDance Seed: Seed-2.0-Mini
Vendoropenaibytedance-seed
Quality Score100100
Benchmark Score68.1-
Input Price$0.20/M$0.10/M
Output Price$1.25/M$0.40/M
Context Window400,000262,144
Max Output128,000131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index63.1-
ai_index_agentic45.4-
ai_index_coding92.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Seed-2.0-Mini costs $0.20 and GPT-5.4 Nano costs $0.51, so Seed-2.0-Mini is about 2.6 times cheaper for the same work.

GPT-5.4 Nano reads up to 400,000 tokens at once, roughly 600 pages of text, against about 393 pages for Seed-2.0-Mini.

Only Seed-2.0-Mini offers video input.

Across the 20 tasks where they differ, GPT-5.4 Nano scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

GPT-5.4 Nano was released in March 2026 and Seed-2.0-Mini in February 2026.

Pick GPT-5.4 Nano if you need long documents or the stronger all-round task scores; pick Seed-2.0-Mini 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-5.4 NanoByteDance Seed: Seed-2.0-Mini
SQL Generation 163 131
Code Review 158 126
Code Completion 133 129
Code Refactoring 157 127
Bug Fixing 168 130
Unit Test Generation 148 121
Code Documentation 140 126
Regex Writing 132 119
CI/CD Pipelines 139 117
Frontend Component Design 141 122
Data Analysis 159 124
CSV / Spreadsheet Cleanup 151 128
ETL Scripting 148 122
JSON Extraction 146 131
Bulk Data Labeling 134 129
OCR / Document Parsing 144 128
Table Extraction from PDFs 144 128
Long-Document Summarization 154 129
Short-Form Summarization 130 123
Blog Post Writing 135 119

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

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