Google’s Gemini 2.5 Pro, which the company calls its most intelligent model, quietly removed the Developer World by Storm.

After viewing strong developer interests, Google announced to increase rate limits for Gemini 2.5 Pro and offer the model to its lower competitors. The company is not released Change of launch.

“We have seen the wonderful enthusiasm of developer and early adoption of Gemini 2.5 Pro, and we listen to your feedback,” Google says in a Blog post today. “To make this powerful model available to more developers, we raise Gemini 2.5 Pro in Public Preview with Gemini AI in Google Ai Studio today,”

Gemini 2.5 Pro is the first experimental model of Google with high rate and billing limits.

Google has said Gemini 2.5 Pro developer in Public Preview, with $ 1.24 per million tokens, see additional rate limits. Model experiment version will remain free but there are limits below limit.

Subject to competitors

The price of Gemini 2.5 Pro is the competition and the more under competitors such as Anthropic and Openi.

As previously mentioned, Gemini 2.5 Pro is $ 1.25 per million input tokens and $ 10 per million outputs togen. Social Media Users expressed surprise that google can quit valuing a strong model for very low price, In the notyang that it is “almost fierce.”

Anthropic offers Claude 3.7 Sonnet, a similar Gemini 2.5 Pro model, of $ 3 per million input tokens and $ 15 for togen outputs. On its site, Anthropic says Claude 3.7 Sonnet users save up to 90% of the cost if they use easy caching.

Openi’s O1 The costs of arguing model $ 15 per million input Rockets and $ 60 per million outputs token. However, cache inputs are worth $ 7.50. Another model of reason, O3-Mini, is cheaper to $ 1.10 per million input tokens and $ 4.40 per million rational model. For non-reasoning models, the GPT-4o’s OpenI price is $ 2.50 for inputs and $ 10 for outputs.

Gemini 2.5 Proge prito

Google releases Gemini 2.5 Pro pretty silent, adding the experimental version of the Gemini Advanced model. Because this launch a few weeks ago, many developers and users have been found forced.

Venturebeat’s Ben Dickson played with Gemini 2.5 Pro and declared it could be “Most useful model of reason.”

Effective preserves of rational models is the next large battlefield for AI developers. The low deposit costs for Deepsheek R1 cause a ruckus between businesses. Derekek continues Put models at a lower price For most of the more prominent model developers, which put more pressure on Google, Openii and Anthropic to offer strong and more competent models.