Anthropic: Claude Haiku 5.5 (batch) vs OpenAI: GPT-6.1 Sol (batch)
Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-09.
| Anthropic: Claude Haiku 5.5 (batch) | OpenAI: GPT-6.1 Sol (batch) | |
|---|---|---|
| Vendor | anthropic | openai |
| Quality Score | 100 | 100 |
| Benchmark Score | 73.6 | 89.2 |
| Input Price | $0.05/M | $1.00/M |
| Output Price | $0.25/M | $5.00/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 | 71.6 | 85.5 |
The verdict
For a sample job of 1 million input tokens and 250,000 output tokens, Claude Haiku 5.5 (batch) costs $0.11 and GPT-6.1 Sol (batch) costs $2.25, so Claude Haiku 5.5 (batch) is about 20.0 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 GPT-6.1 Sol (batch) leads 89.2 to 73.6.
Across the 19 tasks where they differ, Claude Haiku 5.5 (batch) scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-6.1 Sol (batch) on 15 (SQL Generation, Code Review, Code Refactoring and others).
Claude Haiku 5.5 (batch) was released in October 2026 and GPT-6.1 Sol (batch) in September 2026.
Pick Claude Haiku 5.5 (batch) if you need lower cost; pick GPT-6.1 Sol (batch) if you need benchmark performance 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 | Anthropic: Claude Haiku 5.5 (batch) | OpenAI: GPT-6.1 Sol (batch) |
|---|---|---|
| SQL Generation | 142 | 143 |
| Code Review | 145 | 148 |
| Code Completion | 133 | 120 |
| Code Refactoring | 147 | 149 |
| Bug Fixing | 149 | 152 |
| Unit Test Generation | 132 | 134 |
| Code Documentation | 138 | 138 |
| Regex Writing | 127 | 127 |
| CI/CD Pipelines | 128 | 130 |
| Frontend Component Design | 130 | 132 |
| Data Analysis | 134 | 136 |
| ETL Scripting | 138 | 140 |
| JSON Extraction | 131 | 122 |
| Bulk Data Labeling | 129 | 120 |
| OCR / Document Parsing | 134 | 135 |
| Table Extraction from PDFs | 134 | 135 |
| Long-Document Summarization | 149 | 151 |
| Short-Form Summarization | 127 | 119 |
| Blog Post Writing | 130 | 131 |
Scores reflect capability match + benchmark data + pricing for each task. Methodology →