head-to-head

MoonshotAI: Kimi K3.1 Pro vs Qwen: Qwen3.8 Omni Flash

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-10-24.

MoonshotAI: Kimi K3.1 Pro Qwen: Qwen3.8 Omni Flash
Vendormoonshotaiqwen
Quality Score100100
Benchmark Score95.1-
Input Price$2.00/M$0.15/M
Output Price$10.00/M$0.47/M
Context Window1,048,5761,000,000
Max Output943,718131,072
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index90.9-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.8 Omni Flash costs $0.27 and Kimi K3.1 Pro costs $4.50, so Qwen3.8 Omni Flash is about 16.8 times cheaper for the same work.

Both take in a similar amount of text: 1,048,576 and 1,000,000 tokens, about 1,573 and 1,500 pages.

Only Qwen3.8 Omni Flash offers audio input.

Across the 20 tasks where they differ, Kimi K3.1 Pro scores higher on 16 (SQL Generation, Code Review, Code Refactoring and others), Qwen3.8 Omni Flash on 4 (Code Completion, JSON Extraction, Bulk Data Labeling and others).

Kimi K3.1 Pro was released in October 2026 and Qwen3.8 Omni Flash in September 2026.

Pick Kimi K3.1 Pro if you need the stronger all-round task scores; pick Qwen3.8 Omni Flash if you need lower cost or audio 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 K3.1 ProQwen: Qwen3.8 Omni Flash
SQL Generation 143 133
Code Review 149 132
Code Completion 119 131
Code Refactoring 150 136
Bug Fixing 153 136
Unit Test Generation 134 124
Code Documentation 137 131
Regex Writing 126 119
CI/CD Pipelines 130 120
Frontend Component Design 132 122
Data Analysis 137 124
CSV / Spreadsheet Cleanup 136 133
ETL Scripting 140 128
JSON Extraction 121 131
Bulk Data Labeling 118 129
OCR / Document Parsing 135 131
Table Extraction from PDFs 135 131
Long-Document Summarization 151 137
Short-Form Summarization 118 123
Blog Post Writing 131 121

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

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