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Model details

Gemini 2.5 Pro

Gemini the listed price Pro is the flagship of Google's Gemini the listed price thinking-model family, created by Google DeepMind as a generally available stable release with no changes from its 06-05 preview. The model is built around explicit step-by-step reasoning before it produces a final answer, with a controllable thinking budget that lets developers decide how much deliberation the model performs for each request. Google describes it as among the best models for coding and advanced reasoning tasks, and as a top performer on a wide range of benchmarks and on the LM arena leaderboard, reflecting its positioning as an enterprise-ready reasoning system rather than a lightweight conversational model.

In practical terms, Gemini the listed price Pro fits workloads that benefit from transparent reasoning chains, such as complex code generation, multi-step analytical questions, and enterprise use cases where auditable thought processes matter for trust and compliance. The thinking-budget control gives teams a way to trade latency and cost against answer depth, making the same model usable for both quick assists and deeper investigations. Combined with its broad multimodal input handling, this reasoning-first design makes Gemini the listed price Pro well suited to organizations that need a strong general-purpose reasoning model backed by Google's research lineage and benchmark pedigree.

Databricksdatabricks-gemini-2-5-progemini-pro

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Provider
Databricks
Model key
databricks-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
1,048,576 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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