GPT-6.1 Sol
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $10.00
API models · Side by side
GPT-6.1 Sol vs Gemini 3.8 Flash
GPT-6.1 Sol is OpenAI's mid-priced all-rounder. Gemini 3.8 Flash is Google's cheaper model, and it also accepts audio and video. Both handle text, images and files.
Gemini 3.8 Flash
- Input / 1M tokens
- $0.75
- Output / 1M tokens
- $3.75
The short answer
Sol charges $2 per million input tokens and $10 per million output tokens, rising to $4 and $15 above 272,000 tokens. Gemini 3.8 Flash charges $0.75 and $3.75 at any prompt length. Gemini accepts audio and video; Sol doesn't. Sol can write longer replies: 128,000 tokens vs 65,536.
Compare the details
Compare context, supported inputs and usage costs. Highlighted rows show a difference.
| Feature | GPT-6.1 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 | $0.10 | $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-6.1-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-6.1 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-6.1 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
Recordings need Gemini
If your app needs to process the actual recording or video, not just a transcript, Gemini takes it directly. With Sol you'd add a separate conversion step, which costs extra and can lose details.
Reports and generated code
Sol's higher output limit helps when you need long reports or large chunks of code in one reply. For normal-sized answers, Gemini is about 2.7 times cheaper per token.
Full conversations cost more
Each chat turn re-sends earlier messages and instructions. Long conversations can push Sol past its 272,000-token threshold, where its rates rise to $4 and $15. Gemini Flash has no such surcharge.
Which one should you pick?
Choose Gemini 3.8 Flash for audio and video features, and for cost-sensitive apps. Choose GPT-6.1 Sol if you need very long single replies, or already have a reliable OpenAI setup that would be costly to move.
Common questions
Can GPT-6.1 Sol take video directly?
No. Sol accepts text, images and files. Gemini also accepts audio and video.
Does Gemini's lower price make it better?
It's cheaper per token. Whether it's better depends on your inputs, answer length and test results.
Can the cost examples price a recording?
No. They count text tokens only.