head-to-head

MoonshotAI: Kimi K3.1 Pro vs Google: Gemini 4 Argon

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-24.

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, both cost $4.50 at current list prices.

Both read up to 1,048,576 tokens at once, roughly 1,573 pages of text.

Only Gemini 4 Argon offers audio input.

On our blended benchmark score Kimi K3.1 Pro leads 95.1 to 90.2.

Across the 18 tasks where they differ, Kimi K3.1 Pro scores higher on 18 (SQL Generation, Code Review, Code Completion and others).

Pick Kimi K3.1 Pro if you need benchmark performance or the stronger all-round task scores; pick Gemini 4 Argon if you need audio input.

Costs use current list prices per million tokens; page counts assume about 0.75 words per token and 500 words per page.

Task	MoonshotAI: Kimi K3.1 Pro	Google: Gemini 4 Argon
SQL Generation	143	143
Code Review	149	148
Code Completion	119	119
Code Refactoring	150	149
Bug Fixing	153	152
Unit Test Generation	134	134
Code Documentation	137	137
Regex Writing	126	126
CI/CD Pipelines	130	130
Frontend Component Design	132	132
Data Analysis	137	137
CSV / Spreadsheet Cleanup	136	136
ETL Scripting	140	140
OCR / Document Parsing	135	135
Table Extraction from PDFs	135	135
Long-Document Summarization	151	150
Short-Form Summarization	118	117
Blog Post Writing	131	131

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