Elorian: Glimpse vs Anthropic: Claude Opus 5.5 (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-19.
| Elorian: Glimpse | Anthropic: Claude Opus 5.5 (batch) | |
|---|---|---|
| Vendor | elorian | anthropic |
| Quality Score | 100 | 100 |
| Benchmark Score | - | 100.0 |
| Input Price | $0.60/M | $2.00/M |
| Output Price | $3.00/M | $10.00/M |
| Context Window | 262,144 | 1,000,000 |
| Max Output | 256,000 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | - | 95.1 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Glimpse costs $1.35 and Claude Opus 5.5 (batch) costs $4.50, so Glimpse is about 3.3 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 393 pages for Glimpse.
Only Glimpse offers video input.
Across the 20 tasks where they differ, Glimpse scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Claude Opus 5.5 (batch) on 16 (SQL Generation, Code Review, Code Refactoring and others).
Glimpse was released in October 2026 and Claude Opus 5.5 (batch) in September 2026.
Pick Glimpse if you need lower cost or video input; pick Claude Opus 5.5 (batch) if you need 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 | Elorian: Glimpse | Anthropic: Claude Opus 5.5 (batch) |
|---|---|---|
| SQL Generation | 130 | 144 |
| Code Review | 126 | 150 |
| Code Completion | 128 | 119 |
| Code Refactoring | 127 | 151 |
| Bug Fixing | 130 | 154 |
| Unit Test Generation | 121 | 135 |
| Code Documentation | 125 | 138 |
| Regex Writing | 119 | 127 |
| CI/CD Pipelines | 117 | 131 |
| Frontend Component Design | 122 | 133 |
| Data Analysis | 124 | 138 |
| CSV / Spreadsheet Cleanup | 128 | 136 |
| ETL Scripting | 122 | 141 |
| JSON Extraction | 131 | 121 |
| Bulk Data Labeling | 128 | 118 |
| OCR / Document Parsing | 128 | 135 |
| Table Extraction from PDFs | 128 | 135 |
| Long-Document Summarization | 129 | 152 |
| Short-Form Summarization | 123 | 118 |
| Blog Post Writing | 118 | 132 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →