GPT-6 Sol
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $10.00
API models · Side by side
GPT-6 Sol vs Gemini 3.8 Flash
Compare GPT-6 Sol with Gemini 3.8 Flash for a web application or assistant. Input formats, response budgets and the total cost of repeated requests are the main practical differences to examine.
Gemini 3.8 Flash
- Input / 1M tokens
- $0.75
- Output / 1M tokens
- $3.75
The short answer
Gemini adds audio and video inputs to the text, image and file formats shared by both. For an existing GPT integration, that matters only if the application needs those inputs or has another concrete reason to migrate.
Compare the details
Compare context, supported inputs and usage costs. Highlighted rows show a difference.
| Feature | GPT-6 Sol | Gemini 3.8 Flash |
|---|---|---|
| Input formats | file, image, text | audio, file, image, text, video |
| Output formats | text | text |
| Context / position limit | 1,050,000 | 1,048,576 |
| Maximum output tokens | 128,000 | 65,536 |
| Developer features | Reasoning output, Completion limit, Output limit, Reasoning controls, Thinking effort, Response format, Seed, Structured output, Tool selection, Tool calling, Response length | Reasoning output, Output limit, Reasoning controls, Thinking effort, Response format, Seed, Stop sequences, Structured output, Temperature, Tool selection, Tool calling, Sampling controls |
| Cached input / 1M tokens | $0.20 | $0.08 |
| Cache write / 1M tokens | $2.50 | $0.04 |
| USD input / 1M tokens | $2.00 | $0.75 |
| USD output / 1M tokens | $10.00 | $3.75 |
| Model identifier | openai/gpt-6-sol | google/gemini-3.8-flash |
API pricing
Prices are in USD per million tokens. Input is what you send; output is what the model generates. Claude and ChatGPT subscriptions are billed separately.
GPT-6 Sol: long-prompt rates
- Long-prompt threshold: 272,000 prompt tokens. Input: $4.00 / 1M. Output: $15.00 / 1M.
Tools, images and additional reasoning can add charges. The examples below cover input and output tokens only.
Compare local modelsWhat those prices mean in practice
Each example uses the same token budget for both models. These are calculations, not measured workloads. Cache discounts, media, tools and extra reasoning are excluded.
| Workload | GPT-6 Sol | Gemini 3.8 Flash |
|---|---|---|
| 1,000 short requestsPer request: 2,000 input + 500 output tokens | $9.00 | $3.38 |
| 100 document summariesPer request: 20,000 input + 1,000 output tokens | $5.00 | $1.88 |
| 10 long-document requestsPer request: 300,000 input + 2,000 output tokens | $12.30 | $2.33 |
Estimate = requests × (input tokens × input price + output tokens × output price) ÷ 1,000,000. Long-prompt rates are applied where the pricing data provides them. Real requests can use different amounts of output.
Beyond the price tag
An assistant with attachments
Both can receive files and images in the current catalog. Gemini can also receive recordings. Decide whether your attachment workflow sends original media, extracted text or selected images, since that changes what the model is being asked to understand and what supporting services the application needs.
Comparing usage fairly
A chat session can resend history over several turns. Count that repeated input along with each response instead of estimating the bill from the first message alone. The worked examples hold input and output constant; they do not assume the models use identical amounts of reasoning or produce identical answers.
A practical migration
Preserve tool definitions, schemas and model identifiers when changing a working assistant. A switch between GPT and Gemini affects the integration boundary even if both expose the feature you need. Compare output limits and supported controls before deciding that a lower token bill is enough to justify the move.
Common questions
Are these monthly subscription prices?
No. The table compares token charges for using these models in an application. Consumer subscriptions have their own prices and usage rules.
Do the cost examples include everything?
They include input and output token charges under the stated assumptions. Media, tools, additional reasoning and cache operations can add different charges.