OpenAI: GPT-6.1 Sol vs Google: Gemini 3.8 Flash (batch)

For a sample job of 1 million input tokens and 250,000 output tokens, Gemini 3.8 Flash (batch) costs $0.84 and GPT-6.1 Sol costs $4.50, so Gemini 3.8 Flash (batch) is about 5.3 times cheaper for the same work.

Both take in a similar amount of text: 1,050,000 and 1,048,576 tokens, about 1,575 and 1,573 pages.

Only Gemini 3.8 Flash (batch) offers audio input and video input.

On our blended benchmark score GPT-6.1 Sol leads 89.2 to 69.0.

Across the 20 tasks where they differ, GPT-6.1 Sol scores higher on 13 (SQL Generation, Code Review, Code Refactoring and others), Gemini 3.8 Flash (batch) on 7 (Code Completion, Code Documentation, Regex Writing and others).

Pick GPT-6.1 Sol if you need benchmark performance; pick Gemini 3.8 Flash (batch) if you need lower cost, audio input 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.