Meta: Muse Ember vs OpenAI: GPT-6.1 Terra
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.
| Meta: Muse Ember | OpenAI: GPT-6.1 Terra | |
|---|---|---|
| Vendor | meta | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 56.7 | 83.7 |
| Input Price | $0.10/M | $1.00/M |
| Output Price | $0.50/M | $5.00/M |
| Context Window | 1,048,576 | 1,050,000 |
| Max Output | 943,718 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | ✓ | - |
| Benchmark Scores | ||
| ai_index | 59.4 | 84.7 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Muse Ember costs $0.23 and GPT-6.1 Terra costs $2.25, so Muse Ember is about 10.0 times 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 Ember offers audio input and video input.
On our blended benchmark score GPT-6.1 Terra leads 83.7 to 56.7.
Across the 20 tasks where they differ, Muse Ember scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-6.1 Terra on 16 (SQL Generation, Code Review, Code Refactoring and others).
Muse Ember was released in November 2026 and GPT-6.1 Terra in October 2026.
Pick Muse Ember if you need lower cost, audio input or video input; pick GPT-6.1 Terra if you need 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?
| Task | Meta: Muse Ember | OpenAI: GPT-6.1 Terra |
|---|---|---|
| SQL Generation | 141 | 143 |
| Code Review | 143 | 148 |
| Code Completion | 133 | 120 |
| Code Refactoring | 145 | 149 |
| Bug Fixing | 147 | 152 |
| Unit Test Generation | 131 | 134 |
| Code Documentation | 137 | 138 |
| Regex Writing | 125 | 127 |
| CI/CD Pipelines | 127 | 130 |
| Frontend Component Design | 129 | 132 |
| Data Analysis | 132 | 136 |
| CSV / Spreadsheet Cleanup | 136 | 136 |
| ETL Scripting | 136 | 139 |
| JSON Extraction | 131 | 122 |
| Bulk Data Labeling | 129 | 120 |
| OCR / Document Parsing | 134 | 135 |
| Table Extraction from PDFs | 134 | 135 |
| Long-Document Summarization | 147 | 151 |
| Short-Form Summarization | 126 | 119 |
| Blog Post Writing | 129 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →