Gemini 3.1 Pro Preview Custom Tools vs GPT-6.1 Sol
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Gemini 3.1 Pro Preview Custom Tools is a variant of Gemini 3.1 Pro that improves tool selection behavior by preventing overuse of a general bash tool when more efficient third-party...
- Reasoning estimated
- ▲
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- 66 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- $12.00
- Cache read, $ per 1M
- $0.200
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 02/19/2026
- Knowledge cutoff
- 2025-01
- API id
- google/gemini-3.1-pro-preview-customtools
GPT-6.1 Sol is an upgrade to GPT-6 Sol from OpenAI, positioned below the flagship GPT-6 Astra in the GPT-6 series.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- ▲1.1 M tokens
- Max output
- ▲128 K
- Input, $ per 1M tokens
- $2.00
- Output, $ per 1M tokens
- ▲$10.00
- Cache read, $ per 1M
- $0.100
- Batch (input / output)
- $1.00 / $5.00
- Tool calling
- Yes
- Released
- ▲09/29/2026
- Knowledge cutoff
- 2026-04-30
- API id
- openai/gpt-6.1-sol
Which is the better API choice: Gemini 3.1 Pro Preview Custom Tools vs GPT-6.1 Sol?
- GPT-6.1 Sol: cheapest output
- GPT-6.1 Sol: largest context (1.1 M)
- GPT-6.1 Sol: the newest (09/29/2026)
- Gemini 3.1 Pro Preview Custom Tools: most reasoning (estimated)
- Gemini 3.1 Pro Preview Custom Tools: the fastest (estimated)
Pricing is split: Gemini 3.1 Pro Preview Custom Tools wins on input and GPT-6.1 Sol wins on output. GPT-6.1 Sol accepts more context (1.1 M). On capabilities, only Gemini 3.1 Pro Preview Custom Tools accepts audio. GPT-6.1 Sol offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With GPT-6.1 Sol you save $8.00 a month versus Gemini 3.1 Pro Preview Custom Tools (10% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Gemini 3.1 Pro Preview Custom Tools Google$0.152
- 2GPT-6.1 Sol OpenAI$0.152
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Gemini 3.1 Pro Preview Custom Tools vs GPT-6.1 Sol?
Pricing is split: Gemini 3.1 Pro Preview Custom Tools wins on input and GPT-6.1 Sol wins on output. GPT-6.1 Sol accepts more context (1.1 M). On capabilities, only Gemini 3.1 Pro Preview Custom Tools accepts audio. GPT-6.1 Sol offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Gemini 3.1 Pro Preview Custom Tools and GPT-6.1 Sol?
Gemini 3.1 Pro Preview Custom Tools is cheaper: $2.00 per million input tokens and $12.00 per million output tokens, versus $2.00 / $10.00 for GPT-6.1 Sol.
Which has more context: Gemini 3.1 Pro Preview Custom Tools and GPT-6.1 Sol?
GPT-6.1 Sol accepts 1.1 M tokens of context; Gemini 3.1 Pro Preview Custom Tools accepts 1 M.
Which is newer: Gemini 3.1 Pro Preview Custom Tools and GPT-6.1 Sol?
GPT-6.1 Sol was released on 09/29/2026; Gemini 3.1 Pro Preview Custom Tools on 02/19/2026.
What would 10,000 requests a month cost with Gemini 3.1 Pro Preview Custom Tools and GPT-6.1 Sol?
With 1,500 input and 400 output tokens per request: Gemini 3.1 Pro Preview Custom Tools: $78.00; GPT-6.1 Sol: $70.00 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.