Nex AGI: Nex-N2.6 vs Meta: Muse Ember
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.
| Nex AGI: Nex-N2.6 | Meta: Muse Ember | |
|---|---|---|
| Vendor | nex-agi | meta |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 56.7 |
| Input Price | $0.12/M | $0.10/M |
| Output Price | $0.40/M | $0.50/M |
| Context Window | 262,144 | 1,048,576 |
| Max Output | 235,929 | 943,718 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | ✓ |
| Benchmark Scores | ||
| ai_index | - | 59.4 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Nex-N2.6 costs $0.22 and Muse Ember costs $0.23, so Nex-N2.6 is slightly cheaper for the same work.
Muse Ember reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Nex-N2.6.
Only Muse Ember offers audio input and video input.
Across the 18 tasks where they differ, Muse Ember on 18 (SQL Generation, Code Review, Code Completion and others).
Pick Nex-N2.6 if you need lower cost; pick Muse Ember if you need long documents, audio input, 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 | Nex AGI: Nex-N2.6 | Meta: Muse Ember |
|---|---|---|
| SQL Generation | 131 | 141 |
| Code Review | 126 | 143 |
| Code Completion | 129 | 133 |
| Code Refactoring | 127 | 145 |
| Bug Fixing | 130 | 147 |
| Unit Test Generation | 121 | 131 |
| Code Documentation | 126 | 137 |
| Regex Writing | 119 | 125 |
| CI/CD Pipelines | 117 | 127 |
| Frontend Component Design | 122 | 129 |
| Data Analysis | 124 | 132 |
| CSV / Spreadsheet Cleanup | 128 | 136 |
| ETL Scripting | 122 | 136 |
| OCR / Document Parsing | 128 | 134 |
| Table Extraction from PDFs | 128 | 134 |
| Long-Document Summarization | 129 | 147 |
| Short-Form Summarization | 123 | 126 |
| Blog Post Writing | 119 | 129 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →