OpenAI: GPT-5.6 Terra vs Anthropic: Claude Sonnet 5 (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.
| OpenAI: GPT-5.6 Terra | Anthropic: Claude Sonnet 5 (batch) | |
|---|---|---|
| Vendor | openai | anthropic |
| Quality Score | 100 | 100 |
| Benchmark Score | 93.0 | 91.4 |
| Input Price | $2.00/M | $1.00/M |
| Output Price | $12.00/M | $5.00/M |
| Context Window | 1,050,000 | 1,000,000 |
| Max Output | 128,000 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 90.7 | 88.0 |
| ai_index_agentic | 78.2 | 77.0 |
| ai_index_coding | 100.0 | 100.0 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Claude Sonnet 5 (batch) costs $2.25 and GPT-5.6 Terra costs $5.00, so Claude Sonnet 5 (batch) is about 2.2 times cheaper for the same work.
Both take in a similar amount of text: 1,050,000 and 1,000,000 tokens, about 1,575 and 1,500 pages.
On our blended benchmark score GPT-5.6 Terra leads 93.0 to 91.4.
Across the 20 tasks where they differ, GPT-5.6 Terra scores higher on 10 (Code Review, Code Refactoring, Bug Fixing and others), Claude Sonnet 5 (batch) on 10 (SQL Generation, Code Completion, Code Documentation and others).
GPT-5.6 Terra was released in July 2026 and Claude Sonnet 5 (batch) in June 2026.
Pick GPT-5.6 Terra if you need benchmark performance; pick Claude Sonnet 5 (batch) if you need lower cost.
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-5.6 Terra | Anthropic: Claude Sonnet 5 (batch) |
|---|---|---|
| SQL Generation | 171 | 171 |
| Code Review | 168 | 167 |
| Code Completion | 119 | 120 |
| Code Refactoring | 165 | 164 |
| Bug Fixing | 181 | 180 |
| Unit Test Generation | 155 | 154 |
| Code Documentation | 141 | 143 |
| Regex Writing | 135 | 136 |
| CI/CD Pipelines | 145 | 144 |
| Frontend Component Design | 147 | 146 |
| Data Analysis | 171 | 171 |
| CSV / Spreadsheet Cleanup | 153 | 154 |
| ETL Scripting | 155 | 154 |
| JSON Extraction | 138 | 140 |
| Bulk Data Labeling | 123 | 126 |
| OCR / Document Parsing | 147 | 146 |
| Table Extraction from PDFs | 147 | 146 |
| Long-Document Summarization | 159 | 160 |
| Short-Form Summarization | 122 | 123 |
| Blog Post Writing | 140 | 140 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →