head-to-head
OpenAI: GPT-5.6 Terra vs Anthropic: Claude Sonnet 5 (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-08-13.
| OpenAI: GPT-5.6 Terra | Anthropic: Claude Sonnet 5 (batch) | |
|---|---|---|
| Vendor | openai | anthropic |
| Quality Score | 100 | 100 |
| Benchmark Score | 92.7 | 91.6 |
| Input Price | $1.00/M | $1.00/M |
| Output Price | $6.00/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 | 93.3 | 91.2 |
| ai_index_agentic | 82.8 | 82.0 |
| ai_index_coding | 100.0 | 100.0 |
Who wins by task?
| Task | OpenAI: GPT-5.6 Terra | Anthropic: Claude Sonnet 5 (batch) |
|---|---|---|
| SQL Generation | 173 | 172 |
| Code Review | 169 | 168 |
| Code Completion | 120 | 120 |
| Code Refactoring | 165 | 165 |
| Bug Fixing | 183 | 182 |
| Unit Test Generation | 155 | 155 |
| Regex Writing | 136 | 136 |
| CI/CD Pipelines | 146 | 145 |
| Frontend Component Design | 148 | 147 |
| Data Analysis | 173 | 172 |
| ETL Scripting | 155 | 155 |
| JSON Extraction | 140 | 140 |
| Bulk Data Labeling | 125 | 126 |
| OCR / Document Parsing | 147 | 147 |
| Table Extraction from PDFs | 147 | 147 |
| Long-Document Summarization | 161 | 160 |
| Short-Form Summarization | 123 | 123 |
| Blog Post Writing | 141 | 141 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →
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