DeepSeek: DeepSeek V4.1 Flash (batch) vs Nex AGI: Nex-N2.5-Pro
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| DeepSeek: DeepSeek V4.1 Flash (batch) | Nex AGI: Nex-N2.5-Pro | |
|---|---|---|
| Vendor | deepseek | nex-agi |
| Quality Score | 100 | 100 |
| Input Price | $0.01/M | $0.07/M |
| Output Price | $0.20/M | $0.25/M |
| Context Window | 1,048,576 | 262,144 |
| Max Output | 943,718 | 235,929 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, DeepSeek V4.1 Flash (batch) costs $0.061 and Nex-N2.5-Pro costs $0.14, so DeepSeek V4.1 Flash (batch) is about 2.3 times cheaper for the same work.
DeepSeek V4.1 Flash (batch) reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 393 pages for Nex-N2.5-Pro.
Across the 17 tasks where they differ, DeepSeek V4.1 Flash (batch) scores higher on 17 (SQL Generation, Code Review, Code Completion and others).
Pick DeepSeek V4.1 Flash (batch) if you need lower cost, long documents 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 | DeepSeek: DeepSeek V4.1 Flash (batch) | Nex AGI: Nex-N2.5-Pro |
|---|---|---|
| SQL Generation | 134 | 131 |
| Code Review | 132 | 126 |
| Code Completion | 132 | 129 |
| Code Refactoring | 136 | 127 |
| Bug Fixing | 136 | 130 |
| Unit Test Generation | 124 | 121 |
| Code Documentation | 132 | 126 |
| Regex Writing | 120 | 119 |
| CI/CD Pipelines | 120 | 117 |
| CSV / Spreadsheet Cleanup | 134 | 128 |
| ETL Scripting | 128 | 122 |
| JSON Extraction | 132 | 131 |
| OCR / Document Parsing | 131 | 128 |
| Table Extraction from PDFs | 131 | 128 |
| Long-Document Summarization | 138 | 129 |
| Short-Form Summarization | 124 | 123 |
| Blog Post Writing | 122 | 119 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →