fine

Gemini 2.5 Flash allows developers to set a token limit for reasoning or disable it entirely. Google charges [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Gemini 2.5 Flash introduces a significant advancement for developers, enabling them to set a token limit for reasoning or opt to disable it entirely. Google has established a pricing structure that charges [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: Gemini 2.5 Flash will allow developers to set a token limit for thinking or simply disable thinking altogether. Google has provided pricing per 1 million tokens at $0.15 for input, and output comes in two flavors. Without thinking, outputs are $0.60, but enabling thinking boosts it to $3.50. The thinking budget option will allow developers to fine-tune the model to do what they want for an amount of money they're willing to pay. According to Doshi, you can actually see the reasoning improvements in benchmarks as you add more token budget. 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google Like 2.5 Pro, this model supports Dynamic Thinking, which can automatically adjust the amount of work that goes into generating an output based on the complexity of the input. The new Flash model goes further by allowing developers to control thinking. According to Doshi, Google is launching the model now to guide improvements in these dynamic features. "Part of the reason we're putting the model out in preview is to get feedback from developers on where the model meets their expectations, where it under-thinks or over-thinks, so that we can continue to iterate on [dynamic thinking]," says Doshi. Don't expect that kind of precise control for consumer Gemini products right now, though. Doshi notes that the main reason you'd want to toggle thinking or set a budget is to control costs and latency, which matters to developers. However, Google is hoping that what it learns from the preview phase will help it understand what users and developers expect from the model. "Creating a simpler Gemini app experience for consumers while still offering flexibility is the goal," Doshi says. With the rapid cadence of releases, a final release for Gemini 2.5 doesn't seem that far off. Google still doesn't have any specifics to share on that front, but with the new developer options and availability in the Gemini app, Doshi tells us the team hopes to move the 2.5 family to general availability soon." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].15 for every million tokens used in input. The output pricing varies based on the reasoning capabilities employed. For outputs without reasoning, the cost is [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: Gemini 2.5 Flash will allow developers to set a token limit for thinking or simply disable thinking altogether. Google has provided pricing per 1 million tokens at $0.15 for input, and output comes in two flavors. Without thinking, outputs are $0.60, but enabling thinking boosts it to $3.50. The thinking budget option will allow developers to fine-tune the model to do what they want for an amount of money they're willing to pay. According to Doshi, you can actually see the reasoning improvements in benchmarks as you add more token budget. 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google Like 2.5 Pro, this model supports Dynamic Thinking, which can automatically adjust the amount of work that goes into generating an output based on the complexity of the input. The new Flash model goes further by allowing developers to control thinking. According to Doshi, Google is launching the model now to guide improvements in these dynamic features. "Part of the reason we're putting the model out in preview is to get feedback from developers on where the model meets their expectations, where it under-thinks or over-thinks, so that we can continue to iterate on [dynamic thinking]," says Doshi. Don't expect that kind of precise control for consumer Gemini products right now, though. Doshi notes that the main reason you'd want to toggle thinking or set a budget is to control costs and latency, which matters to developers. However, Google is hoping that what it learns from the preview phase will help it understand what users and developers expect from the model. "Creating a simpler Gemini app experience for consumers while still offering flexibility is the goal," Doshi says. With the rapid cadence of releases, a final release for Gemini 2.5 doesn't seem that far off. Google still doesn't have any specifics to share on that front, but with the new developer options and availability in the Gemini app, Doshi tells us the team hopes to move the 2.5 family to general availability soon." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].60, while enabling reasoning elevates the price to .50. This flexibility allows developers to tailor the model's performance according to their budgetary constraints and desired outcomes. As noted by Doshi, enhancements in reasoning capabilities become evident in benchmarks as developers allocate more tokens to the budget. 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google Similar to its predecessor, 2.5 Pro, the new model incorporates Dynamic Thinking, which intelligently adjusts the processing effort based on the complexity of the input. However, Gemini 2.5 Flash takes this a step further by granting developers enhanced control over the reasoning process. Doshi explains that the model is being launched in preview mode to gather valuable feedback from developers regarding its performance—specifically, where it meets expectations and where it may either underperform or overthink. While such precise control may not yet be available for consumer-facing Gemini products, Doshi emphasizes that the primary motivation for developers to toggle thinking or set a budget lies in managing costs and latency—factors that are crucial in development environments. Google aims to leverage insights gained during the preview phase to better understand user and developer expectations. "Creating a simpler Gemini app experience for consumers while still offering flexibility is the goal," Doshi remarks. With the rapid pace of updates, the final release of Gemini 2.5 appears to be on the horizon. Although specific details remain undisclosed, the introduction of new developer options and their integration into the Gemini app suggests that the team is optimistic about moving the 2.5 family towards general availability in the near future." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].15 per million tokens for input, with output pricing varying based on reasoning capabilities: [openai_gpt model="gpt-4o-mini" prompt="Summarize the content and extract only the fact described in the text bellow. The summary shall NOT include a title, introduction and conclusion. Text: Gemini 2.5 Flash introduces a significant advancement for developers, enabling them to set a token limit for reasoning or opt to disable it entirely. Google has established a pricing structure that charges [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: Gemini 2.5 Flash will allow developers to set a token limit for thinking or simply disable thinking altogether. Google has provided pricing per 1 million tokens at $0.15 for input, and output comes in two flavors. Without thinking, outputs are $0.60, but enabling thinking boosts it to $3.50. The thinking budget option will allow developers to fine-tune the model to do what they want for an amount of money they're willing to pay. According to Doshi, you can actually see the reasoning improvements in benchmarks as you add more token budget. 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google Like 2.5 Pro, this model supports Dynamic Thinking, which can automatically adjust the amount of work that goes into generating an output based on the complexity of the input. The new Flash model goes further by allowing developers to control thinking. According to Doshi, Google is launching the model now to guide improvements in these dynamic features. "Part of the reason we're putting the model out in preview is to get feedback from developers on where the model meets their expectations, where it under-thinks or over-thinks, so that we can continue to iterate on [dynamic thinking]," says Doshi. Don't expect that kind of precise control for consumer Gemini products right now, though. Doshi notes that the main reason you'd want to toggle thinking or set a budget is to control costs and latency, which matters to developers. However, Google is hoping that what it learns from the preview phase will help it understand what users and developers expect from the model. "Creating a simpler Gemini app experience for consumers while still offering flexibility is the goal," Doshi says. With the rapid cadence of releases, a final release for Gemini 2.5 doesn't seem that far off. Google still doesn't have any specifics to share on that front, but with the new developer options and availability in the Gemini app, Doshi tells us the team hopes to move the 2.5 family to general availability soon." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].15 for every million tokens used in input. The output pricing varies based on the reasoning capabilities employed. For outputs without reasoning, the cost is [cyberseo_openai model="gpt-4o-mini" prompt="Rewrite a news story for a business publication, in a calm style with creativity and flair based on text below, making sure it reads like human-written text in a natural way. The article shall NOT include a title, introduction and conclusion. The article shall NOT start from a title. Response language English. Generate HTML-formatted content using tag for a sub-heading. You can use only , , , , and HTML tags if necessary. Text: Gemini 2.5 Flash will allow developers to set a token limit for thinking or simply disable thinking altogether. Google has provided pricing per 1 million tokens at $0.15 for input, and output comes in two flavors. Without thinking, outputs are $0.60, but enabling thinking boosts it to $3.50. The thinking budget option will allow developers to fine-tune the model to do what they want for an amount of money they're willing to pay. According to Doshi, you can actually see the reasoning improvements in benchmarks as you add more token budget. 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google Like 2.5 Pro, this model supports Dynamic Thinking, which can automatically adjust the amount of work that goes into generating an output based on the complexity of the input. The new Flash model goes further by allowing developers to control thinking. According to Doshi, Google is launching the model now to guide improvements in these dynamic features. "Part of the reason we're putting the model out in preview is to get feedback from developers on where the model meets their expectations, where it under-thinks or over-thinks, so that we can continue to iterate on [dynamic thinking]," says Doshi. Don't expect that kind of precise control for consumer Gemini products right now, though. Doshi notes that the main reason you'd want to toggle thinking or set a budget is to control costs and latency, which matters to developers. However, Google is hoping that what it learns from the preview phase will help it understand what users and developers expect from the model. "Creating a simpler Gemini app experience for consumers while still offering flexibility is the goal," Doshi says. With the rapid cadence of releases, a final release for Gemini 2.5 doesn't seem that far off. Google still doesn't have any specifics to share on that front, but with the new developer options and availability in the Gemini app, Doshi tells us the team hopes to move the 2.5 family to general availability soon." temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" ].60, while enabling reasoning elevates the price to .50. This flexibility allows developers to tailor the model's performance according to their budgetary constraints and desired outcomes. As noted by Doshi, enhancements in reasoning capabilities become evident in benchmarks as developers allocate more tokens to the budget. 2.5 Flash outputs get better as you add more reasoning tokens. Credit: Google Similar to its predecessor, 2.5 Pro, the new model incorporates Dynamic Thinking, which intelligently adjusts the processing effort based on the complexity of the input. However, Gemini 2.5 Flash takes this a step further by granting developers enhanced control over the reasoning process. Doshi explains that the model is being launched in preview mode to gather valuable feedback from developers regarding its performance—specifically, where it meets expectations and where it may either underperform or overthink. While such precise control may not yet be available for consumer-facing Gemini products, Doshi emphasizes that the primary motivation for developers to toggle thinking or set a budget lies in managing costs and latency—factors that are crucial in development environments. Google aims to leverage insights gained during the preview phase to better understand user and developer expectations. "Creating a simpler Gemini app experience for consumers while still offering flexibility is the goal," Doshi remarks. With the rapid pace of updates, the final release of Gemini 2.5 appears to be on the horizon. Although specific details remain undisclosed, the introduction of new developer options and their integration into the Gemini app suggests that the team is optimistic about moving the 2.5 family towards general availability in the near future." max_tokens="3500" temperature="0.3" top_p="1.0" best_of="1" presence_penalty="0.1" frequency_penalty="frequency_penalty"].60 without reasoning and .50 with reasoning. The model supports Dynamic Thinking, which adjusts processing based on input complexity. Developers can control the reasoning process to manage costs and latency. Google is currently in a preview phase to gather feedback from developers to improve the model. The final release of Gemini 2.5 is anticipated soon, with new developer options integrated into the Gemini app.