head-to-head

Anthropic: Claude Opus 5 (batch) vs Thinking Machines: Inkling

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-07.

Anthropic: Claude Opus 5 (batch) Thinking Machines: Inkling
Vendoranthropicthinkingmachines
Quality Score100100
Input Price$2.50/M$1.00/M
Output Price$12.50/M$4.05/M
Context Window1,000,000524,288
Max Output128,000471,859
Tool Calling✓✓
Structured Output✓-
Reasoning Mode✓✓
Vision✓✓
Audio-✓

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Inkling costs $2.01 and Claude Opus 5 (batch) costs $5.62, so Inkling is about 2.8 times cheaper for the same work.

Claude Opus 5 (batch) reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 786 pages for Inkling.

Only Claude Opus 5 (batch) offers structured output; only Inkling offers audio input.

Across the 19 tasks where they differ, Claude Opus 5 (batch) scores higher on 13 (SQL Generation, Code Review, Code Refactoring and others), Inkling on 6 (Code Completion, Code Documentation, Regex Writing and others).

Pick Claude Opus 5 (batch) if you need long documents, structured output or the stronger all-round task scores; pick Inkling if you need lower cost or audio input.

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?

TaskAnthropic: Claude Opus 5 (batch)Thinking Machines: Inkling
SQL Generation 132 125
Code Review 132 128
Code Completion 117 119
Code Refactoring 136 132
Unit Test Generation 124 116
Code Documentation 129 131
Regex Writing 117 119
CI/CD Pipelines 120 116
Frontend Component Design 122 118
Data Analysis 124 120
CSV / Spreadsheet Cleanup 132 121
ETL Scripting 128 124
JSON Extraction 121 111
Bulk Data Labeling 117 116
OCR / Document Parsing 131 123
Table Extraction from PDFs 131 123
Long-Document Summarization 136 137
Short-Form Summarization 113 115
Blog Post Writing 120 121

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

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