head-to-head

MoonshotAI: Kimi K2.6 vs OpenAI: GPT-5.4

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

MoonshotAI: Kimi K2.6 OpenAI: GPT-5.4
Vendormoonshotaiopenai
Quality Score100100
Benchmark Score76.789.6
Input Price$0.65/M$2.50/M
Output Price$3.41/M$15.00/M
Context Window262,1441,050,000
Max Output235,929128,000
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index73.084.8
ai_index_agentic49.967.8
ai_index_coding100.0100.0
eqbench63.575.6

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Kimi K2.6 costs $1.50 and GPT-5.4 costs $6.25, so Kimi K2.6 is about 4.2 times cheaper for the same work.

GPT-5.4 reads up to 1,050,000 tokens at once, roughly 1,575 pages of text, against about 393 pages for Kimi K2.6.

On our blended benchmark score GPT-5.4 leads 89.6 to 76.7.

Across the 20 tasks where they differ, Kimi K2.6 scores higher on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others), GPT-5.4 on 16 (SQL Generation, Code Review, Code Refactoring and others).

Kimi K2.6 was released in April 2026 and GPT-5.4 in March 2026.

Pick Kimi K2.6 if you need lower cost; pick GPT-5.4 if you need long documents, 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?

TaskMoonshotAI: Kimi K2.6OpenAI: GPT-5.4
SQL Generation 168 174
Code Review 164 175
Code Completion 131 120
Code Refactoring 160 173
Bug Fixing 174 187
Unit Test Generation 152 158
Code Documentation 140 146
Regex Writing 136 136
CI/CD Pipelines 142 149
Frontend Component Design 145 148
Data Analysis 166 173
CSV / Spreadsheet Cleanup 151 157
ETL Scripting 151 161
JSON Extraction 147 137
Bulk Data Labeling 134 122
OCR / Document Parsing 144 148
Table Extraction from PDFs 144 148
Long-Document Summarization 156 167
Short-Form Summarization 131 122
Blog Post Writing 139 143

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

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