head-to-head

MoonshotAI: Kimi K2.6 vs Qwen: Qwen3.5-9B

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

MoonshotAI: Kimi K2.6 Qwen: Qwen3.5-9B
Vendormoonshotaiqwen
Quality Score100100
Benchmark Score76.731.3
Input Price$0.65/M$0.17/M
Output Price$3.41/M$0.25/M
Context Window262,144262,144
Max Output235,929235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index73.035.4
ai_index_agentic49.912.2
ai_index_coding100.047.3
eqbench63.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-9B costs $0.23 and Kimi K2.6 costs $1.50, so Qwen3.5-9B is about 6.5 times cheaper for the same work.

Both read up to 262,144 tokens at once, roughly 393 pages of text.

Only Qwen3.5-9B offers video input.

On our blended benchmark score Kimi K2.6 leads 76.7 to 31.3.

Across the 20 tasks where they differ, Kimi K2.6 scores higher on 20 (SQL Generation, Code Review, Code Completion and others).

Kimi K2.6 was released in April 2026 and Qwen3.5-9B in March 2026.

Pick Kimi K2.6 if you need benchmark performance or the stronger all-round task scores; pick Qwen3.5-9B if you need lower cost or 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?

TaskMoonshotAI: Kimi K2.6Qwen: Qwen3.5-9B
SQL Generation 168 145
Code Review 164 139
Code Completion 131 129
Code Refactoring 160 138
Bug Fixing 174 145
Unit Test Generation 152 133
Code Documentation 140 130
Regex Writing 136 126
CI/CD Pipelines 142 126
Frontend Component Design 145 131
Data Analysis 166 140
CSV / Spreadsheet Cleanup 151 137
ETL Scripting 151 132
JSON Extraction 147 139
Bulk Data Labeling 134 132
OCR / Document Parsing 144 135
Table Extraction from PDFs 144 135
Long-Document Summarization 156 138
Short-Form Summarization 131 127
Blog Post Writing 139 126

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

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