Sulat.com
AI models
$10 off the fastest DeepSeek V4.1 Flash, Kimi K3 and GLM 5.3 from Synthetic
302.AI logo

Model details

gemini-2.5-pro

Gemini 2.5 Pro is Google's flagship model in the Gemini family, designed as a general-purpose but deeply capable reasoning engine. Its defining architectural feature is built-in thinking capabilities that allow the model to reason through responses step-by-step, improving accuracy and nuanced context handling. This makes it particularly suited for complex tasks requiring multi-step reasoning, coding challenges, mathematical problem-solving, and scientific analysis. The model builds on a lineage of progressive improvements from earlier Gemini generations, establishing itself as a top-tier system for advanced intelligence tasks.

Performance-wise, Gemini 2.5 Pro has achieved first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities. It has been benchmarked in real-world engineering scenarios, where it has demonstrated strong results across diverse coding and analytical tasks. Beyond traditional text interfaces, the model is actively being deployed across Google's expanding ecosystem, including powering AI smart glasses alongside Android XR, showcasing its versatility in multimodal contexts. As a state-of-the-art model, it continues to serve as a foundation for advanced reasoning applications requiring both depth and breadth.

302.AIgemini-2.5-progemini-pro

Quick Info

Powered by
Provider
302.AI
Model key
gemini-2.5-pro
Release date
Jun 17, 2025
Last updated
Jun 17, 2025
Knowledge cutoff
2025-01
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.25
Output token cost
$10.00

Limits

Output tokens
65,536 tokens
Context window
1,000,000 tokens

Transparent token rates

Compare gemini-2.5-pro pricing

Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

Browse this family

Latest news about gemini-2.5-pro

302.AI

CoverageBenchmark

A peer-reviewed benchmarking study published in Scientific Reports (2026) evaluated Gemini 2.5 Pro alongside other frontier LLMs on 119 pediatric dentistry questions drawn from the past ten years of Türkiye's Dentistry Specialization Examination (DUS). Eleven recently developed LLMs (17 configurations including reasoni Gemini 2.5 Pro achieved a 92.44% mean accuracy, the highest score in the study and significantly outperforming most competitors, tying or matching only with GPT-5 (90.76%) and Grok-4 (88.24%). Models such as Qwen-3 (49.58%–54.62%) and MedGemma (58.82%) scored notably lower, while smaller models like Gemma, LLaMA, and M

Videos about gemini-2.5-pro

More models around gemini-2.5-pro