head-to-head

Cohere: Command A+ vs Anthropic: Claude Opus 5.5 (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-04.

Cohere: Command A+ Anthropic: Claude Opus 5.5 (batch)
Vendorcohereanthropic
Quality Score100100
Benchmark Score17.4100.0
Input Price$0.30/M$2.00/M
Output Price$1.50/M$10.00/M
Context Window192,0001,000,000
Max Output64,000128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index21.795.1

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Command A+ costs $0.68 and Claude Opus 5.5 (batch) costs $4.50, so Command A+ is about 6.7 times cheaper for the same work.

Claude Opus 5.5 (batch) reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 288 pages for Command A+.

On our blended benchmark score Claude Opus 5.5 (batch) leads 100.0 to 17.4.

Across the 20 tasks where they differ, Command A+ scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Claude Opus 5.5 (batch) on 16 (SQL Generation, Code Review, Code Refactoring and others).

Pick Command A+ if you need lower cost; pick Claude Opus 5.5 (batch) if you need long documents, 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?

TaskCohere: Command A+Anthropic: Claude Opus 5.5 (batch)
SQL Generation 132 144
Code Review 127 150
Code Completion 127 119
Code Refactoring 127 151
Bug Fixing 131 154
Unit Test Generation 122 135
Code Documentation 125 138
Regex Writing 121 127
CI/CD Pipelines 118 131
Frontend Component Design 124 133
Data Analysis 127 138
CSV / Spreadsheet Cleanup 126 136
ETL Scripting 122 141
JSON Extraction 131 121
Bulk Data Labeling 129 118
OCR / Document Parsing 127 135
Table Extraction from PDFs 127 135
Long-Document Summarization 128 152
Short-Form Summarization 124 118
Blog Post Writing 120 132

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

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