head-to-head

Sakana: Sakana Namazu vs Anthropic: Claude Opus 4.8 (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.

Sakana: Sakana Namazu Anthropic: Claude Opus 4.8 (batch)
Vendorsakanaanthropic
Quality Score100100
Benchmark Score-94.8
Input Price$0.95/M$2.50/M
Output Price$4.00/M$12.50/M
Context Window262,1441,000,000
Max Output65,536128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
eqbench-74.2

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Sakana Namazu costs $1.95 and Claude Opus 4.8 (batch) costs $5.62, so Sakana Namazu is about 2.9 times cheaper for the same work.

Claude Opus 4.8 (batch) reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 393 pages for Sakana Namazu.

Across the 20 tasks where they differ, Sakana Namazu scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), Claude Opus 4.8 (batch) on 16 (SQL Generation, Code Review, Code Refactoring and others).

Sakana Namazu was released in August 2026 and Claude Opus 4.8 (batch) in May 2026.

Pick Sakana Namazu if you need lower cost; pick Claude Opus 4.8 (batch) if you need long documents 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?

TaskSakana: Sakana NamazuAnthropic: Claude Opus 4.8 (batch)
SQL Generation 130 137
Code Review 126 140
Code Completion 128 119
Code Refactoring 127 145
Bug Fixing 130 144
Unit Test Generation 121 129
Code Documentation 125 134
Regex Writing 119 120
CI/CD Pipelines 117 125
Frontend Component Design 122 125
Data Analysis 124 128
CSV / Spreadsheet Cleanup 128 137
ETL Scripting 122 135
JSON Extraction 131 121
Bulk Data Labeling 128 117
OCR / Document Parsing 128 133
Table Extraction from PDFs 128 133
Long-Document Summarization 129 146
Short-Form Summarization 123 114
Blog Post Writing 118 125

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

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