Models / Google/ Gemini 2.5 Pro Preview 05-06

Gemini 2.5 Pro Preview 05-06

Google · released May 7, 2025

Input: text, images, audio, video and documents. Output: text.InputOutput
Type
Closed
Input
$1.00
Output
$20.00
Cached
None held

List price · per 1M tokens · Google AI at 8K context · machine-readable source ↗

Our take

Written Sep 2, 2026

Gemini 2.5 Pro is Google's flagship reasoning model that accepts text, images, files, audio and video in a single request, with a one-million-token limit. Its throughput-graded pricing lets you trade speed for cost, though we hold no measured quality scores for it yet.

Who should pick it

Pick this for massive-context document or video analysis where the one-million-token limit matters, or for multimodal workloads where you can accept lower throughput to cut cost. Use the mid-tier for production work at 65–73 tokens per second. Skip it if you need verified benchmark scores to compare quality, or if the premium high-throughput tier is too expensive for your budget.

The case for it

  • One-million-token request limit among the largest we track, suited to long-document and video understanding.
  • Broad multimodal input in one model: text, images, files, audio and video.
  • Throughput-graded pricing lets users trade speed for cost: five times the throughput for twice the price between tiers.

The case against it

  • Premium high-throughput tier is slower and costs more than the mid-tier, with no clear quality gain.
  • No benchmark scores, Elo ratings or task scores in our data, so quality is unverified.
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How good is it?

We hold no score for this model.

So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.

Where these scores come from →

01

Where to rent it

Prices checked between 2 hours and 8 hours ago — each listing carries its own date.

Cheapest published offer

Google AI Studio, through OpenRouter

Why this differs from the header. The strip above quotes Google AI's own list price; this is the cheapest live offer, whoever is serving it — a reseller undercutting a lab is ordinary commerce, not an error.

per 1M tokens
$1.25 in / $10.00 out
Context served
1M
Throughput
~71 tok/s
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
Google AI Studioflex tierThrough OpenRouter$0.63 / $5.00checked 2 hours ago1M66K max reply105 tok/sNoYes55 daysUnknown
Google Vertex AIusThrough OpenRouter$1.25 / $10.00checked 2 hours ago1M66K max reply64 tok/sNoNoUnknown
Google Vertex AIeuThrough OpenRouter$1.25 / $10.00checked 8 hours ago1M66K max reply70 tok/sNoNoUnknown
OpenRouterOpenRouter's own listing$1.25 / $10.00checked 2 hours ago1Mnot measuredUnknownUnknownUnknown
Google Vertex AIglobalThrough OpenRouter$1.25 / $10.00checked 2 hours ago1M66K max reply74 tok/sNoNoConfirmed
Google AI StudioThrough OpenRouter$1.25 / $10.00checked 2 hours ago1M66K max reply71 tok/sNoYes55 daysUnknown
Google AI Studiopriority tierThrough OpenRouter$2.25 / $18.00checked 2 hours ago1M66K max reply69 tok/sNoYes55 daysUnknown
Google Vertex AIpriority tierglobalThrough OpenRouter$2.25 / $18.00checked 2 hours ago1M66K max reply91 tok/sNoNoUnknown
Google AIDirect$1.00 / $20.00checked 2 hours ago8K16K max replynot measuredUnknownUnknownUnknown

Across the 9 listings we hold: 7 say they do not train on prompts, 0 say they do and 2 do not say. 1 appears in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
Google AI StudioflexThrough OpenRouter✓✓✓
Google Vertex AIusThrough OpenRouter✓✓✓
Google Vertex AIeuThrough OpenRouter✓✓✓
OpenRouterOpenRouter's own listing✓✓✓
Google Vertex AIglobalThrough OpenRouter✓✓✓
Google AI StudioThrough OpenRouter✓✓✓
Google AI StudiopriorityThrough OpenRouter✓✓✓
Google Vertex AIpriority · globalThrough OpenRouter✓✓✓
Google AIDirect

Tool calling: 8 of 9 listings say yes, 1 publishes no parameter list. JSON output: 8 of 9 listings say yes, 1 publishes no parameter list. Strict schema: 8 of 9 listings say yes, 1 publishes no parameter list.

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Models people weigh against Gemini 2.5 Pro Preview 05-06

03

When we formed this view

Recent changes

Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
May 7, 2025AnnouncedGemini 2.5 Pro Preview 05-06 announced by Google

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • No independent board has scored it, so we hold no quality figures at all.
  • 1 of 9 listings publishes no parameter list, so what its API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 2 of 9 listings do not say whether they train on prompts.
  • We hold no batch or off-peak rate for any of its listings.
04

Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images, audio, video and documents in, text out
Catalogue slug
google-gemini-2-5-pro-preview-05-06

Machine-readable model card (omc.json) →

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