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AI Choice Engine

Google

Gemini 2.5 Pro

Gemini 2.5 Pro is a Google model with 1.05M context, $1.25 in / $10 out per million tokens, last verified October 25, 2026. Open weights: no. Status: Legacy since September 18, 2026. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

Google's previous-generation Pro API model for long documents and multimodal input, with a 1,048,576-token input limit and 65,536-token output limit.

Recorded profile verification October 25, 2026Individual provider fields may changeAccess: restricted — Gemini API access is limited to users who actively used 2.5 models in the past. The model is not deprecated; no shutdown date is announced.

AI model specification details
SpecificationGemini 2.5 Pro
ProviderGoogle
TierBalanced
Context window1.05M
Max output66K
Input / 1M tokens$1.25
Output / 1M tokens$10
WeightsClosed
ParametersNot verifiedUnverified
Reasoning levelslow, medium, high
Modalitiestext, image, video, audio, pdf
API model idgemini-2.5-pro
ReleasedJune 17, 2025

Pricing tiers: Standard USD/MTok input/output $1.25/$10 at <=200K input or $2.50/$15 above; output includes thinking. Cache $0.125/$0.25, storage $4.50/MTok-hour. Batch/Flex $0.625/$5 short or $1.25/$7.50 long, keeping Standard cache/storage. Priority $2.25/$18 short or $4.50/$27 long; cache $0.225/$0.45, storage $8.10. Existing-user access restrictions and partner-cloud lifecycles are separate. Interactions lists low/medium/high; controls depend on the API. Search grounding has a 1,500-request daily free allowance, then $35/1,000 grounded prompts. Standard/Priority Maps has 10,000 free daily requests then $25/1,000 grounded prompts; Batch/Flex Maps is unavailable. Other tools have separate charges.

Best for

  • Long documents
  • Multimodal input
  • Google Workspace integration

Watch out

Since 2026-09-18 Google limits Gemini API access to existing 2.5 users (new projects are pointed to 3.8 Flash or 3.5 Flash-Lite); the Gemini API deprecations page shows no shutdown date — check Vertex AI's lifecycle page separately.

History

Gemini 2.5 Pro timeline

Release and status events for this model that passed two-source verification — dated, sourced, and linked.

  • Gemini 2.5 access restrictionStatus updateSeptember 18, 2026

    Google limits Gemini 2.5-series API access to existing users; new projects are pointed to Gemini 3.8 Flash or 3.5 Flash-Lite. No Gemini API shutdown date is published.

    Gemini API changelog

Common questions

Gemini 2.5 Pro

Answered from the verified figures on this page rather than general guidance.

How much does Gemini 2.5 Pro cost per million tokens?
Gemini 2.5 Pro lists base rates of $1.25 per million input tokens and $10 per million output tokens. Estimate both input and output token volume and any additional charges for your workload. Standard USD/MTok input/output $1.25/$10 at <=200K input or $2.50/$15 above; output includes thinking. Cache $0.125/$0.25, storage $4.50/MTok-hour. Batch/Flex $0.625/$5 short or $1.25/$7.50 long, keeping Standard cache/storage. Priority $2.25/$18 short or $4.50/$27 long; cache $0.225/$0.45, storage $8.10. Existing-user access restrictions and partner-cloud lifecycles are separate. Interactions lists low/medium/high; controls depend on the API. Search grounding has a 1,500-request daily free allowance, then $35/1,000 grounded prompts. Standard/Priority Maps has 10,000 free daily requests then $25/1,000 grounded prompts; Batch/Flex Maps is unavailable. Other tools have separate charges.
What is Gemini 2.5 Pro's context window?
Gemini 2.5 Pro accepts about 1.05M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is Gemini 2.5 Pro best for?
Gemini 2.5 Pro is a balanced tier from Google. It suits long documents, multimodal input, google workspace integration. Since 2026-09-18 Google limits Gemini API access to existing 2.5 users (new projects are pointed to 3.8 Flash or 3.5 Flash-Lite); the Gemini API deprecations page shows no shutdown date — check Vertex AI's lifecycle page separately.