head-to-head

SpaceXAI: Grok 4.5 vs MoonshotAI: Kimi K2.6

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

SpaceXAI: Grok 4.5 MoonshotAI: Kimi K2.6
Vendorx-aimoonshotai
Quality Score100100
Benchmark Score91.276.7
Input Price$2.00/M$0.65/M
Output Price$6.00/M$3.41/M
Context Window500,000262,144
Max Output450,000235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index88.873.0
ai_index_agentic75.449.9
ai_index_coding100.0100.0
eqbench-63.5

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Kimi K2.6 costs $1.50 and Grok 4.5 costs $3.50, so Kimi K2.6 is about 2.3 times cheaper for the same work.

Grok 4.5 reads up to 500,000 tokens at once, roughly 750 pages of text, against about 393 pages for Kimi K2.6.

On our blended benchmark score Grok 4.5 leads 91.2 to 76.7.

Across the 20 tasks where they differ, Grok 4.5 scores higher on 15 (SQL Generation, Code Review, Code Refactoring and others), Kimi K2.6 on 5 (Code Completion, Regex Writing, JSON Extraction and others).

Grok 4.5 was released in July 2026 and Kimi K2.6 in April 2026.

Pick Grok 4.5 if you need long documents, benchmark performance or the stronger all-round task scores; pick Kimi K2.6 if you need lower cost.

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?

TaskSpaceXAI: Grok 4.5MoonshotAI: Kimi K2.6
SQL Generation 171 168
Code Review 167 164
Code Completion 120 131
Code Refactoring 164 160
Bug Fixing 180 174
Unit Test Generation 154 152
Code Documentation 142 140
Regex Writing 135 136
CI/CD Pipelines 144 142
Frontend Component Design 146 145
Data Analysis 170 166
CSV / Spreadsheet Cleanup 154 151
ETL Scripting 154 151
JSON Extraction 139 147
Bulk Data Labeling 125 134
OCR / Document Parsing 146 144
Table Extraction from PDFs 146 144
Long-Document Summarization 159 156
Short-Form Summarization 123 131
Blog Post Writing 140 139

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

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