head-to-head

MoonshotAI: Kimi K2.7 Code vs Qwen: Qwen3.5-122B-A10B

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

MoonshotAI: Kimi K2.7 Code Qwen: Qwen3.5-122B-A10B
Vendormoonshotaiqwen
Quality Score100100
Benchmark Score74.154.9
Input Price$0.60/M$0.26/M
Output Price$3.50/M$2.08/M
Context Window262,144262,144
Max Output235,92965,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index69.253.3
ai_index_agentic48.834.2
ai_index_coding100.075.4

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-122B-A10B costs $0.78 and Kimi K2.7 Code costs $1.48, so Qwen3.5-122B-A10B is about 1.9 times cheaper for the same work.

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

Only Qwen3.5-122B-A10B offers video input.

On our blended benchmark score Kimi K2.7 Code leads 74.1 to 54.9.

Across the 19 tasks where they differ, Kimi K2.7 Code scores higher on 19 (SQL Generation, Code Review, Code Refactoring and others).

Kimi K2.7 Code was released in June 2026 and Qwen3.5-122B-A10B in February 2026.

Pick Kimi K2.7 Code if you need benchmark performance or the stronger all-round task scores; pick Qwen3.5-122B-A10B 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 K2.7 CodeQwen: Qwen3.5-122B-A10B
SQL Generation 163 155
Code Review 155 148
Code Refactoring 151 145
Bug Fixing 165 156
Unit Test Generation 147 140
Code Documentation 135 133
Regex Writing 133 129
CI/CD Pipelines 138 132
Frontend Component Design 142 137
Data Analysis 162 152
CSV / Spreadsheet Cleanup 147 142
ETL Scripting 144 139
JSON Extraction 147 143
Bulk Data Labeling 134 133
OCR / Document Parsing 142 139
Table Extraction from PDFs 142 139
Long-Document Summarization 147 143
Short-Form Summarization 130 128
Blog Post Writing 134 130

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

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