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Model details

gemini-2.5-pro

Gemini 2.5 Pro is positioned as a state-of-the-art reasoning model designed for advanced work in coding, mathematics, and scientific tasks. Its defining feature is a built-in "thinking" capability that allows it to reason step by step before producing answers, which is described as delivering enhanced accuracy and more nuanced handling of complex context. The model supports a 1M-token context window, giving it room to process lengthy documents, multi-file codebases, or extended conversational history without losing track of earlier material.

On independent evaluation, Gemini 2.5 Pro has reached the top of the LMArena leaderboard, reflecting strong human-preference alignment and the ability to handle difficult multi-step problems. The OpenRouter routing data reports roughly 2.3 to 2.5 second latency and around 81 tokens per second throughput with 99.4% uptime on the standard Vertex tier, indicating production-grade responsiveness for interactive applications. Practical fit includes developer-facing workflows such as code generation and debugging, technical research and analysis, and any task that benefits from deliberate chain-of-thought reasoning over large inputs.

Jiekou.AIgemini-2.5-progemini-pro

Quick Info

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Provider
Jiekou.AI
Model key
gemini-2.5-pro
Release date
Jan 1, 2026
Last updated
Jan 1, 2026
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$1.125
Output token cost
$9.00

Limits

Output tokens
65,535 tokens
Context window
1,048,576 tokens

Transparent token rates

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

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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

Jiekou.AI

Official sourcePreview

/gemini 2.5 pro preview 06 05 gemini 2.5 pro preview 06 05 gemini 2.5 pro preview 06 05 Trial versionAPI Documentation Price Try it now | | | | | | | Input | $1.1875 per million tokens $1.25 per million tokens | | Cached writes (5m) | $0.3562 per million tokens $0.375 per million tokens | | Cached writes (1 hour) | $4.

Jiekou.AI

Official sourcePreview

通过JieKou.AI使用gemini-2.5-pro-preview-06-05 API,享受稳定高效的AI服务。支持OpenAI兼容接口,透明定价,按量计费。

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