Anthropic: Claude Opus 5.5 (batch) vs inclusionAI: Ling 3.0 Flash VL
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| Anthropic: Claude Opus 5.5 (batch) | inclusionAI: Ling 3.0 Flash VL | |
|---|---|---|
| Vendor | anthropic | inclusionai |
| Quality Score | 100 | 100 |
| Input Price | $2.00/M | $0.06/M |
| Output Price | $10.00/M | $0.18/M |
| Context Window | 1,000,000 | 131,072 |
| Max Output | 128,000 | 32,768 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Ling 3.0 Flash VL costs $0.10 and Claude Opus 5.5 (batch) costs $4.50, so Ling 3.0 Flash VL is about 42.9 times cheaper for the same work.
Claude Opus 5.5 (batch) reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 197 pages for Ling 3.0 Flash VL.
Only Ling 3.0 Flash VL offers video input.
Across the 18 tasks where they differ, Claude Opus 5.5 (batch) scores higher on 13 (SQL Generation, Code Review, Code Refactoring and others), Ling 3.0 Flash VL on 5 (Code Completion, Regex Writing, JSON Extraction and others).
Pick Claude Opus 5.5 (batch) if you need long documents or the stronger all-round task scores; pick Ling 3.0 Flash VL if you need lower cost or video input.
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 | Anthropic: Claude Opus 5.5 (batch) | inclusionAI: Ling 3.0 Flash VL |
|---|---|---|
| SQL Generation | 132 | 128 |
| Code Review | 132 | 121 |
| Code Completion | 117 | 126 |
| Code Refactoring | 136 | 119 |
| Bug Fixing | 136 | 125 |
| Unit Test Generation | 124 | 118 |
| Code Documentation | 129 | 121 |
| Regex Writing | 117 | 120 |
| CI/CD Pipelines | 120 | 114 |
| CSV / Spreadsheet Cleanup | 132 | 123 |
| ETL Scripting | 128 | 117 |
| JSON Extraction | 121 | 132 |
| Bulk Data Labeling | 118 | 129 |
| OCR / Document Parsing | 131 | 125 |
| Table Extraction from PDFs | 131 | 125 |
| Long-Document Summarization | 136 | 121 |
| Short-Form Summarization | 113 | 124 |
| Blog Post Writing | 120 | 116 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →