head-to-head

Meta: Muse Spark 1.1 vs OpenAI: GPT-5.6 Terra (batch)

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

Meta: Muse Spark 1.1 OpenAI: GPT-5.6 Terra (batch)
Vendormetaopenai
Quality Score100100
Benchmark Score-93.0
Input Price$1.25/M$1.00/M
Output Price$4.25/M$6.00/M
Context Window1,048,5761,050,000
Max Output943,718128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index-90.7
ai_index_agentic-78.2
ai_index_coding-100.0

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Muse Spark 1.1 costs $2.31 and GPT-5.6 Terra (batch) costs $2.50, so Muse Spark 1.1 is slightly cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,050,000 tokens, about 1,573 and 1,575 pages.

Only Muse Spark 1.1 offers video input.

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

Pick Muse Spark 1.1 if you need lower cost or video input; pick GPT-5.6 Terra (batch) if you need 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?

TaskMeta: Muse Spark 1.1OpenAI: GPT-5.6 Terra (batch)
SQL Generation 133 172
Code Review 132 168
Code Completion 118 120
Code Refactoring 136 165
Bug Fixing 136 181
Unit Test Generation 124 155
Code Documentation 130 143
Regex Writing 118 136
CI/CD Pipelines 120 145
Frontend Component Design 122 147
Data Analysis 124 171
CSV / Spreadsheet Cleanup 133 154
ETL Scripting 128 155
JSON Extraction 122 139
Bulk Data Labeling 120 125
OCR / Document Parsing 131 147
Table Extraction from PDFs 131 147
Long-Document Summarization 137 160
Short-Form Summarization 114 123
Blog Post Writing 121 140

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

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