head-to-head

OpenAI: GPT-5.6 Terra (batch) vs SpaceXAI: Grok 4.5

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

OpenAI: GPT-5.6 Terra (batch) SpaceXAI: Grok 4.5
Vendoropenaix-ai
Quality Score100100
Benchmark Score93.091.2
Input Price$1.00/M$2.00/M
Output Price$6.00/M$6.00/M
Context Window1,050,000500,000
Max Output128,000450,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index90.788.8
ai_index_agentic78.275.4
ai_index_coding100.0100.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Terra (batch) costs $2.50 and Grok 4.5 costs $3.50, so GPT-5.6 Terra (batch) is about 1.4 times cheaper for the same work.

GPT-5.6 Terra (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 750 pages for Grok 4.5.

On our blended benchmark score GPT-5.6 Terra (batch) leads 93.0 to 91.2.

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

Pick GPT-5.6 Terra (batch) if you need lower cost, long documents, 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 Terra (batch)SpaceXAI: Grok 4.5
SQL Generation 172 171
Code Review 168 167
Code Completion 120 120
Code Refactoring 165 164
Bug Fixing 181 180
Unit Test Generation 155 154
Code Documentation 143 142
Regex Writing 136 135
CI/CD Pipelines 145 144
Frontend Component Design 147 146
Data Analysis 171 170
CSV / Spreadsheet Cleanup 154 154
ETL Scripting 155 154
JSON Extraction 139 139
Bulk Data Labeling 125 125
OCR / Document Parsing 147 146
Table Extraction from PDFs 147 146
Long-Document Summarization 160 159
Short-Form Summarization 123 123
Blog Post Writing 140 140

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

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