head-to-head

OpenAI: GPT-5.6 Terra vs OpenAI: GPT-5.6 Sol (batch)

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

OpenAI: GPT-5.6 Terra OpenAI: GPT-5.6 Sol (batch)
Vendoropenaiopenai
Quality Score100100
Benchmark Score93.099.3
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_index90.797.2
ai_index_agentic78.289.1
ai_index_coding100.0100.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Sol (batch) costs $4.50 and GPT-5.6 Terra costs $5.00, so GPT-5.6 Sol (batch) 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 (batch) leads 99.3 to 93.0.

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

Pick GPT-5.6 Sol (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?

TaskOpenAI: GPT-5.6 TerraOpenAI: GPT-5.6 Sol (batch)
SQL Generation 171 173
Code Review 168 170
Code Completion 119 119
Code Refactoring 165 166
Bug Fixing 181 185
Unit Test Generation 155 156
Code Documentation 141 143
Regex Writing 135 136
CI/CD Pipelines 145 146
Frontend Component Design 147 148
Data Analysis 171 175
CSV / Spreadsheet Cleanup 153 154
ETL Scripting 155 156
JSON Extraction 138 139
Bulk Data Labeling 123 124
OCR / Document Parsing 147 147
Table Extraction from PDFs 147 147
Long-Document Summarization 159 161
Short-Form Summarization 122 123
Blog Post Writing 140 141

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

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