head-to-head

OpenAI: GPT-5.6 Terra vs OpenAI: GPT-5.6 Sol

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-02.

OpenAI: GPT-5.6 Terra OpenAI: GPT-5.6 Sol
Vendoropenaiopenai
Quality Score100100
Benchmark Score71.180.2
Input Price$2.00/M$2.00/M
Output Price$12.00/M$10.00/M
Context Window1,050,0001,050,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index69.477.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Sol costs $4.50 and GPT-5.6 Terra costs $5.00, so GPT-5.6 Sol is slightly cheaper for the same work.

Both read up to 1,050,000 tokens at once, roughly 1,575 pages of text.

On our blended benchmark score GPT-5.6 Sol leads 80.2 to 71.1.

Across the 20 tasks where they differ, GPT-5.6 Sol on 20 (SQL Generation, Code Review, Code Completion and others).

Pick GPT-5.6 Sol 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?

TaskOpenAI: GPT-5.6 TerraOpenAI: GPT-5.6 Sol
SQL Generation 140 142
Code Review 145 146
Code Completion 118 119
Code Refactoring 147 148
Bug Fixing 149 150
Unit Test Generation 132 133
Code Documentation 135 136
Regex Writing 124 125
CI/CD Pipelines 128 129
Frontend Component Design 130 131
Data Analysis 134 135
CSV / Spreadsheet Cleanup 135 135
ETL Scripting 137 138
JSON Extraction 121 121
Bulk Data Labeling 117 118
OCR / Document Parsing 134 134
Table Extraction from PDFs 134 134
Long-Document Summarization 147 149
Short-Form Summarization 116 117
Blog Post Writing 128 130

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

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