head-to-head

Anthropic: Claude Opus 5 (batch) vs MoonshotAI: Kimi K3

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-09-27.

Anthropic: Claude Opus 5 (batch) MoonshotAI: Kimi K3
Vendoranthropicmoonshotai
Quality Score100100
Benchmark Score87.373.9
Input Price$2.50/M$3.00/M
Output Price$12.50/M$15.00/M
Context Window1,000,0001,048,576
Max Output128,000943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index83.871.9

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Claude Opus 5 (batch) costs $5.62 and Kimi K3 costs $6.75, so Claude Opus 5 (batch) is about 1.2 times cheaper for the same work.

Both take in a similar amount of text: 1,000,000 and 1,048,576 tokens, about 1,500 and 1,573 pages.

Only Kimi K3 offers video input.

On our blended benchmark score Claude Opus 5 (batch) leads 87.3 to 73.9.

Across the 20 tasks where they differ, Claude Opus 5 (batch) scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Pick Claude Opus 5 (batch) if you need lower cost, benchmark performance or the stronger all-round task scores; pick Kimi K3 if you need video 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)MoonshotAI: Kimi K3
SQL Generation 142 140
Code Review 147 145
Code Completion 118 117
Code Refactoring 149 147
Bug Fixing 151 149
Unit Test Generation 134 132
Code Documentation 136 134
Regex Writing 125 123
CI/CD Pipelines 130 128
Frontend Component Design 132 130
Data Analysis 136 134
CSV / Spreadsheet Cleanup 135 135
ETL Scripting 139 138
JSON Extraction 121 120
Bulk Data Labeling 117 116
OCR / Document Parsing 135 134
Table Extraction from PDFs 135 134
Long-Document Summarization 149 147
Short-Form Summarization 117 116
Blog Post Writing 130 128

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

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