head-to-head

Google: Gemini 4 Carbon (batch) vs MoonshotAI: Kimi K3.1 Pro

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

Google: Gemini 4 Carbon (batch) MoonshotAI: Kimi K3.1 Pro
Vendorgooglemoonshotai
Quality Score100100
Benchmark Score98.975.0
Input Price$1.00/M$2.00/M
Output Price$5.00/M$10.00/M
Context Window1,048,5761,048,576
Max Output943,718943,718
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio✓-
Benchmark Scores
ai_index99.076.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 4 Carbon (batch) costs $2.25 and Kimi K3.1 Pro costs $4.50, so Gemini 4 Carbon (batch) is about 2.0 times cheaper for the same work.

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

Only Gemini 4 Carbon (batch) offers audio input.

On our blended benchmark score Gemini 4 Carbon (batch) leads 98.9 to 75.0.

Across the 20 tasks where they differ, Gemini 4 Carbon (batch) scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Gemini 4 Carbon (batch) was released in November 2026 and Kimi K3.1 Pro in October 2026.

Pick Gemini 4 Carbon (batch) if you need lower cost, audio input, 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?

TaskGoogle: Gemini 4 Carbon (batch)MoonshotAI: Kimi K3.1 Pro
SQL Generation 145 142
Code Review 150 146
Code Completion 120 119
Code Refactoring 151 148
Bug Fixing 154 150
Unit Test Generation 135 133
Code Documentation 139 136
Regex Writing 128 125
CI/CD Pipelines 131 129
Frontend Component Design 133 131
Data Analysis 138 135
CSV / Spreadsheet Cleanup 137 135
ETL Scripting 141 138
JSON Extraction 122 121
Bulk Data Labeling 120 118
OCR / Document Parsing 135 134
Table Extraction from PDFs 135 134
Long-Document Summarization 153 149
Short-Form Summarization 119 117
Blog Post Writing 133 130

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

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