OpenAI: GPT Terra Latest vs Meta: Muse Spark 1.1
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT Terra Latest | Meta: Muse Spark 1.1 | |
|---|---|---|
| Vendor | ~openai | meta |
| Quality Score | 100 | 100 |
| Input Price | $1.00/M | $1.25/M |
| Output Price | $5.00/M | $4.25/M |
| Context Window | 1,050,000 | 1,048,576 |
| Max Output | 128,000 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT Terra Latest costs $2.25 and Muse Spark 1.1 costs $2.31, so GPT Terra Latest is slightly cheaper for the same work.
Both take in a similar amount of text: 1,050,000 and 1,048,576 tokens, about 1,575 and 1,573 pages.
Only Muse Spark 1.1 offers video input.
Across the 7 tasks where they differ, Muse Spark 1.1 on 7 (Code Completion, Code Documentation, Regex Writing and others).
GPT Terra Latest was released in September 2026 and Muse Spark 1.1 in July 2026.
Pick GPT Terra Latest if you need lower cost; pick Muse Spark 1.1 if you need video input 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 | OpenAI: GPT Terra Latest | Meta: Muse Spark 1.1 |
|---|---|---|
| Code Completion | 118 | 118 |
| Code Documentation | 130 | 130 |
| Regex Writing | 118 | 118 |
| JSON Extraction | 122 | 122 |
| Bulk Data Labeling | 120 | 120 |
| Short-Form Summarization | 114 | 114 |
| Blog Post Writing | 121 | 121 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →