Models / Google/ Gemini 2.5 Pro

Gemini 2.5 Pro

Google · released Jun 17, 2025

Input: text, images, audio, video and documents. Output: text.InputOutput
Type
Closed
Input
$1.25
Output
$10.00
Cached
None held

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

Our take

Written Sep 2, 2026

Gemini 2.5 Pro is Google's flagship reasoning model that handles up to one million tokens in a single request across text, images, audio, video and files. It scores strongly on human preference leaderboards for coding, creative writing and difficult instructions, though its weights are not available for download.

Who should pick it

Choose this for long-document or multimodal analysis at million-token scale, competitive programming, or creative writing and hard-prompt tasks. Use Google AI Studio for budget prototyping, or Vertex for higher throughput. Skip it if you need to self-host, do web development, or want measured real-world software engineering above 53.6%.

The case for it

  • Strong across diverse human-preference arenas: 1465.3 on coding, 1458.1 on hard prompts, 1442.7 on creative writing.
  • One-million-token request limit with text, image, file, audio and video input.
  • 84.3% on LiveCodeBench, near the top of measured models on contamination-free competitive programming.
  • Wide price-performance range from the same provider, from slower budget tiers to 97 tps on Vertex.

The case against it

  • Real-world software engineering lags its coding-arena strength: 53.6% on SWE-bench versus 84.3% LiveCodeBench.
  • Web development specifically is a weak spot, 239.9 points below its general coding arena score.
  • Proprietary weights with no self-hosting option and undisclosed parameter count.
00

How good is it?

A text model from Google for drafting and editing prose, with no measured weak spots on this board.

Good at
  • drafts, rewrites and editingArena Creative Writing · 34th of 168

EverydayGeneral questions and everyday reasoning

3 of 5

Arena Text (overall)53rd of 168 · 1446

Arena Hard Prompts 65th of 168Arena Maths 56th of 163

CodingWriting and fixing code on its own

3 of 5

Arena Coding79th of 168 · 1464

Arena Code (WebDev) 92nd of 95LiveCodeBench 5th of 16

AgenticPlanning, calling tools, staying on task

Scored, not ratedSWE-bench Verified · 27th of 42 · 53.6

Not yet scored on Arena Agent. It is on SWE-bench Verified, in 27th of 42 with 53.6.

WritingDrafting and rewriting prose

3.5 of 5

Arena Creative Writing34th of 168 · 1443

Arena Creative Writing is the only board that has scored it for this.

Other boards it appears on
Arena Instruction Following 52nd of 168

These tests check whether a model follows instructions — a precondition for all the work above, but not a measure of how well that work is done.

Every published score for this model9 scoresEvery figure we hold, from 9 boards, with who ran it and a link to the source — including the boards no rating above is built on.
84.3source ↗
1464source ↗
1443source ↗
1458source ↗
1439source ↗
1446source ↗
1227source ↗
53.6source ↗
01

Where to rent it

Prices checked between 59 min and 7 hours ago — each listing carries its own date.

Cheapest published offer

Google AI, direct

The lab is the cheapest at this context. The strip above and this offer are the same one, compared at 1M of context. One cheaper row below is outside that comparison: a non-standard pricing tier.

per 1M tokens
$1.25 in / $10.00 out
Context served
1M
Throughput
Not measured
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 1 hour ago1M66K max reply105 tok/sNoYes55 daysUnknown
DeepInfraDirect$1.25 / $10.00checked 1 hour ago1Mnot measuredUnknownUnknownUnknown
Google AIDirect$1.25 / $10.00checked 59 min ago1M66K max replynot measuredUnknownUnknownUnknown
Google Vertex AIeuThrough OpenRouter$1.25 / $10.00checked 7 hours ago1M66K max reply70 tok/sNoNoConfirmed
Google Vertex AIglobalThrough OpenRouter$1.25 / $10.00checked 1 hour ago1M66K max reply74 tok/sNoNoConfirmed
OpenRouterOpenRouter's own listing$1.25 / $10.00checked 1 hour ago1Mnot measuredUnknownUnknownUnknown
Google Vertex AIusThrough OpenRouter$1.25 / $10.00checked 1 hour ago1M66K max reply64 tok/sNoNoConfirmed
Google AI StudioThrough OpenRouter$1.25 / $10.00checked 1 hour ago1M66K max reply71 tok/sNoYes55 daysUnknown
Google Vertex AIpriority tierglobalThrough OpenRouter$2.25 / $18.00checked 1 hour ago1M66K max reply91 tok/sNoNoConfirmed
Google AI Studiopriority tierThrough OpenRouter$2.25 / $18.00checked 1 hour ago1M66K max reply69 tok/sNoYes55 daysUnknown

Across the 10 listings we hold: 7 say they do not train on prompts, 0 say they do and 3 do not say. 4 appear 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✓✓✓
DeepInfraDirect
Google AIDirect
Google Vertex AIeuThrough OpenRouter✓✓✓
Google Vertex AIglobalThrough OpenRouter✓✓✓
OpenRouterOpenRouter's own listing✓✓✓
Google Vertex AIusThrough OpenRouter✓✓✓
Google AI StudioThrough OpenRouter✓✓✓
Google Vertex AIpriority · globalThrough OpenRouter✓✓✓
Google AI StudiopriorityThrough OpenRouter✓✓✓

Tool calling: 8 of 10 listings say yes, 2 publish no parameter list. JSON output: 8 of 10 listings say yes, 2 publish no parameter list. Strict schema: 8 of 10 listings say yes, 2 publish no parameter list.

02

Models people weigh against Gemini 2.5 Pro

03

When we formed this view

Recent changes

Sep 28, 2026BenchmarkScored 84.3 on LiveCodeBench
What movedleaderboard
Sep 25, 2026BenchmarkScored 1464 on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1443 on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1458 on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1438 on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1439 on Arena Maths
What movedleaderboard
Sep 25, 2026BenchmarkScored 1446 on Arena Text (overall)
What movedleaderboard
Sep 25, 2026BenchmarkScored 1227 on Arena Code (WebDev)
What movedleaderboard
Jul 26, 2026ListedListed on LLMap
What movedfirst indexed by our pipeline
Jul 26, 2025BenchmarkScored 53.6 via mini-SWE-agent on SWE-bench Verified
What movedleaderboard

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

  • 2 of 10 listings publish no parameter list, so what their API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 3 of 10 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

Machine-readable model card (omc.json) →

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