head-to-head

SpaceXAI: Grok 4.20 vs Qwen: Qwen3.5-9B

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

SpaceXAI: Grok 4.20 Qwen: Qwen3.5-9B
Vendorx-aiqwen
Quality Score100100
Benchmark Score56.531.3
Input Price$1.25/M$0.17/M
Output Price$2.50/M$0.25/M
Context Window2,000,000262,144
Max Output1,800,000235,929
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio--
Benchmark Scores
ai_index61.035.4
ai_index_agentic-12.2
ai_index_coding-47.3
eqbench45.7-

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Qwen3.5-9B costs $0.23 and Grok 4.20 costs $1.88, so Qwen3.5-9B is about 8.1 times cheaper for the same work.

Grok 4.20 reads up to 2,000,000 tokens at once, roughly 3,000 pages of text, against about 393 pages for Qwen3.5-9B.

Only Qwen3.5-9B offers video input.

On our blended benchmark score Grok 4.20 leads 56.5 to 31.3.

Across the 20 tasks where they differ, Grok 4.20 scores higher on 13 (Code Review, Code Refactoring, Bug Fixing and others), Qwen3.5-9B on 7 (SQL Generation, Code Completion, Frontend Component Design and others).

Pick Grok 4.20 if you need long documents or benchmark performance; 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?

TaskSpaceXAI: Grok 4.20Qwen: Qwen3.5-9B
SQL Generation 144 145
Code Review 149 139
Code Completion 121 129
Code Refactoring 151 138
Bug Fixing 153 145
Unit Test Generation 134 133
Code Documentation 140 130
Regex Writing 127 126
CI/CD Pipelines 130 126
Frontend Component Design 131 131
Data Analysis 135 140
CSV / Spreadsheet Cleanup 138 137
ETL Scripting 141 132
JSON Extraction 123 139
Bulk Data Labeling 120 132
OCR / Document Parsing 135 135
Table Extraction from PDFs 135 135
Long-Document Summarization 153 138
Short-Form Summarization 119 127
Blog Post Writing 132 126

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

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