GPT-6.1 Sol
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $10.00
- Providers
- 3
- Uptime, 24 h
- 100%
API models · Side by side
GPT-6.1 Sol vs Gemini 3.1 Pro Preview
GPT-6.1 Sol and Gemini 3.1 Pro Preview start at the same input price. Sol has the lower output rate, while Gemini adds audio and video input. The material you need to process can settle this choice before price does.
Gemini 3.1 Pro Preview
- Input / 1M tokens
- $2.00
- Output / 1M tokens
- $12.00
- Providers
- 2
- Uptime, 24 h
- 100%
The short answer
For text, images and files, compare results and the total token bill: Sol’s base output rate is $10 per million tokens against Gemini’s $12. For direct audio or video input, Gemini is the relevant option in this pair. Its preview status also belongs in your deployment decision.
Estimate your monthly bill
Enter your own usage. We apply each model's current rates, including long-prompt pricing, for a 30-day month.
Try:
GPT-6.1 Sol$270.00per month
Gemini 3.1 Pro Preview$300.00per month
A token is roughly three-quarters of an English word. Cached input, reasoning tokens, tools and media are not included.
Compare the details
Compare context, supported inputs and usage costs. Highlighted rows show a difference.
| Feature | GPT-6.1 Sol | Gemini 3.1 Pro Preview |
|---|---|---|
| Input formats | file, image, text | audio, file, image, text, video |
| Output formats | text | text |
| Context / position limit | 1,050,000 | 1,048,576 |
| Endpoint output limit (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 | $0.20 |
| Cache write / 1M tokens | $2.50 | $0.38 |
| USD input / 1M tokens | $2.00 | $2.00 |
| USD output / 1M tokens | $10.00 | $12.00 |
| Available API providers | 3 | 2 |
| Best provider uptime, last 24 h | 100% | 100% |
| Model identifier | openai/gpt-6.1-sol | google/gemini-3.1-pro-preview |
API pricing
Prices are in USD per million tokens. Input is what you send; output is what the model generates. Chat subscriptions and API usage 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.
Gemini 3.1 Pro Preview: long-prompt rates
- Long-prompt threshold: 200,000 prompt tokens. Input: $4.00 / 1M. Output: $18.00 / 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 3.1 Pro Preview |
|---|---|---|
| 1,000 short requestsPer request: 2,000 input + 500 output tokens | $9.00 | $10.00 |
| 100 document summariesPer request: 20,000 input + 1,000 output tokens | $5.00 | $5.20 |
| 10 long-document requestsPer request: 300,000 input + 2,000 output tokens | $12.30 | $12.36 |
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
Output length determines the everyday price difference
For 1,000 requests containing 2,000 input tokens and 500 output tokens each, Sol costs $9 and Gemini costs $10. The difference comes from the output rate because both charge $2 per million input tokens at the base tier. Short labels and extraction results create a different bill from long reports, even when the input documents are identical.
A recording is not the same input as a transcript
Gemini accepts audio and video alongside text, images and files. Sol’s inputs here are text, images and files. If your application receives a recording, choose an endpoint that handles that format or add a separate transcription step. That extra step has its own cost and can discard information your task needs, such as visual events or tone.
Watch both long-prompt thresholds
Gemini’s higher rates begin at the 200,000-token prompt threshold in the current pricing tiers; Sol’s begin at 272,000. For a request between those thresholds, the base-price comparison is misleading. For larger requests, compare both higher tiers. The calculator applies the thresholds to the input size you enter rather than averaging every request into one token pool.
Separate reading room from reply length
Both models have roughly a million tokens of context, but their reply limits differ: Sol allows up to 128,000 output tokens, compared with 65,536 for Gemini. Most applications should ask for far less. If you generate unusually large artifacts, check that the endpoint and client can handle the reply, and divide the work where that makes the output easier to review.
Plan around the preview version
Gemini’s exact identifier includes Preview. Before putting it in a critical workflow, check the current availability and migration guidance for that version. Keep the model identifier configurable, save the prompts your application depends on and define what happens if a request fails. Switching to a different model is an integration change, even if both accept the same message format.
Common questions
Which is cheaper for document summaries?
For the example of 100 requests with 20,000 input tokens and 1,000 output tokens each, Sol costs $5 and Gemini costs $5.20. These are token calculations; actual answer lengths and additional charges can differ.
Does audio or video use the text cost example?
No. The examples hold text-token counts constant. Media processing has its own tokenization and applicable pricing, so use the provider’s media rules when estimating a recording workflow.