Anthropic: Claude Opus 5 (batch) vs OpenAI: GPT-5.6 Sol
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-02.
| Anthropic: Claude Opus 5 (batch) | OpenAI: GPT-5.6 Sol | |
|---|---|---|
| Vendor | anthropic | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 87.3 | 80.2 |
| Input Price | $2.50/M | $2.00/M |
| Output Price | $12.50/M | $10.00/M |
| Context Window | 1,000,000 | 1,050,000 |
| Max Output | 128,000 | 128,000 |
| Tool Calling | ✓ | ✓ |
| Structured Output | ✓ | ✓ |
| Reasoning Mode | ✓ | ✓ |
| Vision | ✓ | ✓ |
| Audio | - | - |
| Benchmark Scores | ||
| ai_index | 83.8 | 77.5 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, GPT-5.6 Sol costs $4.50 and Claude Opus 5 (batch) costs $5.62, so GPT-5.6 Sol is about 1.2 times cheaper for the same work.
Both take in a similar amount of text: 1,000,000 and 1,050,000 tokens, about 1,500 and 1,575 pages.
On our blended benchmark score Claude Opus 5 (batch) leads 87.3 to 80.2.
Across the 19 tasks where they differ, Claude Opus 5 (batch) scores higher on 14 (SQL Generation, Code Review, Code Refactoring and others), GPT-5.6 Sol on 5 (Code Completion, Code Documentation, JSON Extraction and others).
Pick Claude Opus 5 (batch) if you need benchmark performance or the stronger all-round task scores; pick GPT-5.6 Sol 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 | Anthropic: Claude Opus 5 (batch) | OpenAI: GPT-5.6 Sol |
|---|---|---|
| SQL Generation | 142 | 142 |
| Code Review | 147 | 146 |
| Code Completion | 118 | 119 |
| Code Refactoring | 149 | 148 |
| Bug Fixing | 151 | 150 |
| Unit Test Generation | 134 | 133 |
| Code Documentation | 136 | 136 |
| Regex Writing | 125 | 125 |
| CI/CD Pipelines | 130 | 129 |
| Frontend Component Design | 132 | 131 |
| Data Analysis | 136 | 135 |
| ETL Scripting | 139 | 138 |
| JSON Extraction | 121 | 121 |
| Bulk Data Labeling | 117 | 118 |
| OCR / Document Parsing | 135 | 134 |
| Table Extraction from PDFs | 135 | 134 |
| Long-Document Summarization | 149 | 149 |
| Short-Form Summarization | 117 | 117 |
| Blog Post Writing | 130 | 130 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →