head-to-head

MoonshotAI: Kimi K2.6 vs Qwen: Qwen3.5-Flash

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

MoonshotAI: Kimi K2.6 Qwen: Qwen3.5-Flash
Vendormoonshotaiqwen
Quality Score100100
Benchmark Score76.7-
Input Price$0.65/M$0.07/M
Output Price$3.41/M$0.26/M
Context Window262,1441,000,000
Max Output235,92965,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index73.0-
ai_index_agentic49.9-
ai_index_coding100.0-
eqbench63.5-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-Flash costs $0.13 and Kimi K2.6 costs $1.50, so Qwen3.5-Flash is about 11.6 times cheaper for the same work.

Qwen3.5-Flash reads up to 1,000,000 tokens at once, roughly 1,500 pages of text, against about 393 pages for Kimi K2.6.

Only Qwen3.5-Flash offers video input.

Across the 20 tasks where they differ, Kimi K2.6 scores higher on 19 (SQL Generation, Code Review, Code Refactoring and others), Qwen3.5-Flash on 1 (Code Completion).

Kimi K2.6 was released in April 2026 and Qwen3.5-Flash in February 2026.

Pick Kimi K2.6 if you need the stronger all-round task scores; pick Qwen3.5-Flash if you need lower cost, long documents 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-Flash
SQL Generation 168 134
Code Review 164 132
Code Completion 131 131
Code Refactoring 160 136
Bug Fixing 174 136
Unit Test Generation 152 124
Code Documentation 140 131
Regex Writing 136 119
CI/CD Pipelines 142 120
Frontend Component Design 145 122
Data Analysis 166 124
CSV / Spreadsheet Cleanup 151 134
ETL Scripting 151 128
JSON Extraction 147 131
Bulk Data Labeling 134 129
OCR / Document Parsing 144 131
Table Extraction from PDFs 144 131
Long-Document Summarization 156 138
Short-Form Summarization 131 123
Blog Post Writing 139 122

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

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