OpenAI: GPT-6.1 Terra (batch) vs Elorian: Glimpse
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-02.
| OpenAI: GPT-6.1 Terra (batch) | Elorian: Glimpse | |
|---|---|---|
| Vendor | openai | elorian |
| Quality Score | 100 | 100 |
| Input Price | $0.50/M | $0.60/M |
| Output Price | $2.50/M | $3.00/M |
| Context Window | 1,050,000 | 262,144 |
| Max Output | 128,000 | 256,000 |
| 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-6.1 Terra (batch) costs $1.12 and Glimpse costs $1.35, so GPT-6.1 Terra (batch) is about 1.2 times cheaper for the same work.
GPT-6.1 Terra (batch) reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Glimpse.
Only Glimpse offers video input.
Across the 18 tasks where they differ, GPT-6.1 Terra (batch) scores higher on 18 (SQL Generation, Code Review, Code Completion and others).
Pick GPT-6.1 Terra (batch) if you need lower cost, long documents or the stronger all-round task scores; pick Glimpse if you need 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 | OpenAI: GPT-6.1 Terra (batch) | Elorian: Glimpse |
|---|---|---|
| SQL Generation | 133 | 130 |
| Code Review | 132 | 126 |
| Code Completion | 131 | 128 |
| Code Refactoring | 136 | 127 |
| Bug Fixing | 136 | 130 |
| Unit Test Generation | 124 | 121 |
| Code Documentation | 131 | 125 |
| Regex Writing | 119 | 119 |
| CI/CD Pipelines | 120 | 117 |
| CSV / Spreadsheet Cleanup | 133 | 128 |
| ETL Scripting | 128 | 122 |
| JSON Extraction | 131 | 131 |
| Bulk Data Labeling | 129 | 128 |
| OCR / Document Parsing | 131 | 128 |
| Table Extraction from PDFs | 131 | 128 |
| Long-Document Summarization | 137 | 129 |
| Short-Form Summarization | 123 | 123 |
| Blog Post Writing | 121 | 118 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →