head-to-head

OpenAI: GPT-6.1 Sol (batch) vs Anthropic: Claude Sonnet 5.5

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-30.

OpenAI: GPT-6.1 Sol (batch) Anthropic: Claude Sonnet 5.5
Vendoropenaianthropic
Quality Score100100
Benchmark Score89.297.0
Input Price$1.00/M$2.00/M
Output Price$5.00/M$10.00/M
Context Window1,050,0001,000,000
Max Output128,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index85.592.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, GPT-6.1 Sol (batch) costs $2.25 and Claude Sonnet 5.5 costs $4.50, so GPT-6.1 Sol (batch) is about 2.0 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 Claude Sonnet 5.5 leads 97.0 to 89.2.

Across the 20 tasks where they differ, GPT-6.1 Sol (batch) scores higher on 7 (Code Completion, Code Documentation, Regex Writing and others), Claude Sonnet 5.5 on 13 (SQL Generation, Code Review, Code Refactoring and others).

Pick GPT-6.1 Sol (batch) if you need lower cost; pick Claude Sonnet 5.5 if you need benchmark performance.

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?

TaskOpenAI: GPT-6.1 Sol (batch)Anthropic: Claude Sonnet 5.5
SQL Generation 143 143
Code Review 148 149
Code Completion 120 119
Code Refactoring 149 150
Bug Fixing 152 153
Unit Test Generation 134 135
Code Documentation 138 137
Regex Writing 127 126
CI/CD Pipelines 130 131
Frontend Component Design 132 133
Data Analysis 136 137
CSV / Spreadsheet Cleanup 136 136
ETL Scripting 140 140
JSON Extraction 122 121
Bulk Data Labeling 120 118
OCR / Document Parsing 135 135
Table Extraction from PDFs 135 135
Long-Document Summarization 151 151
Short-Form Summarization 119 118
Blog Post Writing 131 131

Scores reflect capability match + benchmark data + pricing for each task. Methodology →

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