head-to-head

SpaceXAI: Grok 4.6 vs Google: Gemini 3.5 Flash Lite (batch)

Side-by-side comparison of specs, pricing, benchmark scores, and task rankings. Updated 2026-11-12.

SpaceXAI: Grok 4.6 Google: Gemini 3.5 Flash Lite (batch)
Vendorx-aigoogle
Quality Score100100
Benchmark Score-13.8
Input Price$2.00/M$0.15/M
Output Price$6.00/M$1.25/M
Context Window500,0001,048,576
Max Output450,00065,536
Tool Calling✓✓
Structured Output✓✓
Reasoning Mode✓✓
Vision✓✓
Audio-✓
Benchmark Scores
ai_index-19.2

The verdict

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.5 Flash Lite (batch) costs $0.46 and Grok 4.6 costs $3.50, so Gemini 3.5 Flash Lite (batch) is about 7.6 times cheaper for the same work.

Gemini 3.5 Flash Lite (batch) reads up to 1,048,576 tokens at once, roughly 1,573 pages of text, against about 750 pages for Grok 4.6.

Only Gemini 3.5 Flash Lite (batch) offers audio input and video input.

Across the 20 tasks where they differ, Gemini 3.5 Flash Lite (batch) on 20 (SQL Generation, Code Review, Code Completion and others).

Grok 4.6 was released in August 2026 and Gemini 3.5 Flash Lite (batch) in July 2026.

Pick Gemini 3.5 Flash Lite (batch) if you need lower cost, long documents, audio input, video input or the stronger all-round task scores.

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 4.6Google: Gemini 3.5 Flash Lite (batch)
SQL Generation 133 136
Code Review 132 135
Code Completion 118 132
Code Refactoring 136 139
Bug Fixing 136 139
Unit Test Generation 124 126
Code Documentation 130 133
Regex Writing 118 121
CI/CD Pipelines 120 122
Frontend Component Design 122 124
Data Analysis 124 126
CSV / Spreadsheet Cleanup 133 134
ETL Scripting 128 130
JSON Extraction 122 131
Bulk Data Labeling 119 129
OCR / Document Parsing 131 132
Table Extraction from PDFs 131 132
Long-Document Summarization 137 140
Short-Form Summarization 114 124
Blog Post Writing 121 124

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

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