How much does Gemini 2.5 Pro cost?

Gemini 2.5 Pro costs $1.25/M input tokens and $10.00/M output tokens, with separate rates for Cache Read at $0.125/M tokens, Cache Write at $0.375/M tokens, Image Input at $1.25/M tokens, Input Audio at $1.25/M tokens, and Input Audio Cache at $0.125/M tokens.

What is the context length of Gemini 2.5 Pro?

Gemini 2.5 Pro has a 1,048,576 token context window. It supports up to 65,536 completion tokens.

Does Gemini 2.5 Pro support tool calling and structured outputs?

Yes. Gemini 2.5 Pro accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.

What inputs and outputs does Gemini 2.5 Pro support?

Gemini 2.5 Pro accepts text, images, files such as PDFs, audio, and video as input and returns text.

Which providers serve Gemini 2.5 Pro?

Gemini 2.5 Pro is served by 1 provider on OpenRouter: Google AI Studio.

What other text models does Google have?

Gemini 4 Hydrogen, Gemini Decision 1, Gemini 4 Carbon and 31 more are other text models from Google.

When was Gemini 2.5 Pro released?

Gemini 2.5 Pro was released on June 17, 2025. Its knowledge cutoff is January 31, 2025.

Google: Gemini 2.5 Pro

google/gemini-2.5-pro

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Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.

Modalities

In / out price

$1.25 / $10per 1M

Context

1.0M

Released

Jun 17, 2025

Knowledge cutoff

Jan 2025

Providers

Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick: Balanced (price + speed), Nitro (fastest), or Floor (cheapest).

Latency / throughput


	$1.25	$10.00	$0.125	$0.125	3.04s	87 tok/s	99.97%
Not used in Standard routing:Why these endpoints are not used
Flex	$0.625	$5.00	$0.0625	$0.0625	3.31s	76 tok/s	100.00%
Priority	$2.25	$18.00	$0.225	$0.225	--	--	100.00%

Input $1.25Output $10.00
87 tok/s99.97% uptime
Not used in Standard routing:Why these endpoints are not used
Input $0.625Output $5.00
Flex
76 tok/s100.00% uptime
Input $2.25Output $18.00
Priority
-- tok/s100.00% uptime

Pricing

The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.

Weighted average

Input

$0.585/M tokens

Output

$8.74/M tokens

Gemini 2.5 Pro — Price history

Price history

No effective price data for this selection

		$0.798	$10.01	45.6%	59.8%
Not used in Standard routing:Why these endpoints are not used
	Flex	$0.280	$5.00	68.2%	39.9%
	Priority	$1.874	$18.00	18.6%	0.3%

Effective in $0.798Effective out $10.01
Token share
59.8%
Not used in Standard routing:Why these endpoints are not used
Effective in $0.280Effective out $5.00
FlexToken share
39.9%
Effective in $1.874Effective out $18.00
PriorityToken share
0.3%

Uptime

Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.

Uptime (3d)

100.00%

Availability (3d)

99.82%

Availability over the last 3 days

Last 72 hours

Availability 99.82%

3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability

99.78%

When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and provider routing options.

Benchmarks

Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.

Benchmark score summary for Google: Gemini 2.5 Pro (Artificial Analysis, Design Arena and Vals AI)
Source	Benchmark	Score
Artificial Analysis	Gemini 2.5 Pro Coding Index	33.3
Artificial Analysis	Gemini 2.5 Pro Agentic Index	1.6
Artificial Analysis	Gemini 2.5 Pro GPQA Diamond	84.4%
Artificial Analysis	Gemini 2.5 Pro HLE	22.5%
Artificial Analysis	Gemini 2.5 Pro IFBench	48.7%
Artificial Analysis	Gemini 2.5 Pro τ²-Bench Telecom	54.1%
Artificial Analysis	Gemini 2.5 Pro AA-LCR	69.0%
Artificial Analysis	Gemini 2.5 Pro τ-Bench Banking	9.7%
Artificial Analysis	Gemini 2.5 Pro GDPval-AA	0.0%
Artificial Analysis	Gemini 2.5 Pro CritPt	2.6%
Artificial Analysis	Gemini 2.5 Pro LiveCodeBench	80.1%
Artificial Analysis	Gemini 2.5 Pro SciCode	46.3%
Artificial Analysis	Gemini 2.5 Pro Terminal-Bench Hard	26.5%
Artificial Analysis	Gemini 2.5 Pro Terminal-Bench 4.0	0.0%
Artificial Analysis	Gemini 2.5 Pro Terminal-Bench 2.1	28.5%
Artificial Analysis	Gemini 2.5 Pro MMLU-Pro	86.2%
Artificial Analysis	Gemini 2.5 Pro AIME 2025	87.7%
Artificial Analysis	Gemini 2.5 Pro AIME	88.7%
Artificial Analysis	Gemini 2.5 Pro MATH-500	96.7%
Artificial Analysis	Gemini 2.5 Pro Preview (May' 25) GPQA Diamond	82.2%
Artificial Analysis	Gemini 2.5 Pro Preview (May' 25) HLE	19.9%
Artificial Analysis	Gemini 2.5 Pro Preview (May' 25) LiveCodeBench	77.0%
Artificial Analysis	Gemini 2.5 Pro Preview (May' 25) MMLU-Pro	83.7%
Artificial Analysis	Gemini 2.5 Pro Preview (May' 25) AIME	84.3%
Artificial Analysis	Gemini 2.5 Pro Preview (May' 25) MATH-500	98.6%
Design Arena	Gemini 2.5 Pro Models Arena 3D Elo	1060
Design Arena	Gemini 2.5 Pro Models Arena Code Categories Elo	1142
Design Arena	Gemini 2.5 Pro Models Arena Data Visualization Elo	1219
Design Arena	Gemini 2.5 Pro Models Arena Game Development Elo	1101
Design Arena	Gemini 2.5 Pro Models Arena UI Component Elo	1130
Design Arena	Gemini 2.5 Pro Models Arena Website Elo	1159
Vals AI	Gemini 2.5 Pro CaseLaw v2	63.9%
Vals AI	Gemini 2.5 Pro CorpFin v2	60.8%
Vals AI	Gemini 2.5 Pro Finance Agent v1.1	41.6%
Vals AI	Gemini 2.5 Pro IOI v1	17.1%
Vals AI	Gemini 2.5 Pro MedCode	50.6%
Vals AI	Gemini 2.5 Pro MedScribe	73.6%
Vals AI	Gemini 2.5 Pro MortgageTax	68.9%
Vals AI	Gemini 2.5 Pro SAGE v1	41.9%
Vals AI	Gemini 2.5 Pro SWE-bench	54.4%
Vals AI	Gemini 2.5 Pro Terminal-Bench 2.0	30.3%
Vals AI	Gemini 2.5 Pro Vals Index	39.3%
Vals AI	Gemini 2.5 Pro Vals Multimodal Index	42.4%
Vals AI	Gemini 2.5 Pro Vibe Code Bench v1.1	0.4%

Apps

Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.

Janitor AI

Janitor AI is a chatbot platform where users create and chat with custom AI characters for interactive roleplay, storytelling, and immersive fiction.

4.3Btokens

Sophia's LoreBary

Organize and enhance your roleplay creations.

2.44Btokens

SillyTavern

SillyTavern is the LLM frontend for power users, a chat interface that connects to any model and gives deep control through character creation, roleplay, and prompt customization.

2.1Btokens

VoiceBit.ai

new

1.97Btokens

Infinite Worlds

Build your own adventures, share them with friends

1.25Btokens

Rest of OpenRouter

2.49B

Top 5 Apps

194M

Not currently available through EU in-region routing. In-region routing docs

More models from Google

Gemini 4 Hydrogen

Gemini 4 Hydrogen is the high-efficiency workhorse model of the Gemini 4 family from Google, built for high-throughput agentic workflows, coding and multi-model routing at lower cost and latency than Gemini 4 Carbon. It takes text, image, audio, video and file input, supports long decode of up to 1M output tokens through continuation, and controls thinking depth with low, medium, high and xhigh reasoning effort.

Text1.0M context$1.50 / $7.50

Gemini 4 Hydrogen (batch)

Text1.0M context$0.75 / $3.75

Gemini Decision 1

Gemini Decision 1 is Google's model for the Decisions API. It answers structured questions about an input state (true/false, multiple choice with up to 255 options, and score with up to 255 levels) and returns a confidence for every answer, plus a legend and probabilities for score questions.

It reads text, images, audio, video, and documents (PDF, CSV, and Office files) sent inline as base64 or by public URL. Every question needs instructions.

Decisions$0.10 / $0

Gemini 4 Carbon

Gemini 4 Carbon is a frontier Gemini 4 model from Google for coding, agentic and complex reasoning work. It takes text, image, audio, video and file input, supports long decode of up to 1M output tokens through continuation, and controls thinking depth with low, medium and high reasoning effort.

Text1.0M context$2 / $10

Gemini 4 Carbon (batch)

Text1.0M context$1 / $5

Gemini Omni 1.2 Flash

Gemini Omni 1.2 Flash is Google's native multimodal video generation and editing model, the successor to Gemini Omni 1.1 Flash. It generates clips up to 15 seconds long with native audio in 16:9 or 9:16, from 360p drafts up to 4K, and supports text-to-video, image-to-video, first and last frame interpolation, subject and video references with improved reference management, and editing or extending an uploaded video. Multi-turn editing and extension of a prior generation is supported through previous_job_id.

Note: video generation is only supported through the Video Generation API. See the guide: https://openrouter.ai/docs/guides/overview/multimodal/video-generation

Text131K context$1.50 / $9

Gemini Omni 1.1 Flash

Gemini Omni 1.1 Flash is Google's native multimodal video generation and editing model, the generally available successor to Gemini Omni Flash Preview. It is suited for text-to-video, image-to-video, first and last frame interpolation, subject and video references (up to three reference clips), and editing or extending an uploaded video, and generates clips from 360p drafts up to 4K with native audio in 16:9 or 9:16. Multi-turn editing and extension of a prior generation is supported through previous_job_id, up to 40 seconds of total video.

Note: video generation is only supported through the Video Generation API. See the guide: https://openrouter.ai/docs/guides/overview/multimodal/video-generation

Text131K context$1.50 / $9

Gemini 4 Argon

Gemini 4 Argon is Google's flagship reasoning model, built for complex software engineering, deep mathematical and scientific problem solving, and autonomous multi-step agents. Google trained it to keep context across long, multi-step tasks and to turn long documents mixing text, tables, charts and images into a single grounded output. It leads the Vals Index across finance, legal, coding and tax work, and supports long decode of up to 1M output tokens in a single response.

Text1.0M context$2 / $10

Gemini 4 Argon (batch)

Text1.0M context$1 / $5

Nano Banana 2.1

Nano Banana 2.1 (Gemini Nano Banana 2.1) is Google's image generation and editing model on the Flash tier, succeeding Nano Banana 2 and Nano Banana Pro. It improves product recontextualization, mask- and ink-based editing, and factual accuracy, and renders photorealistic skin tones, detailed materials, lighting, and coherent backgrounds. It accepts text and image inputs, returns images with optional text, and supports 1K, 2K, and 4K output plus extended aspect ratios via the image_config API Parameter.

Image66K context$1.50 / $30

Gemini 3.5 Transcribe

Gemini 3.5 Transcribe is a speech-to-text model from Google. It is suited for synchronous transcription that needs word-level timestamps or speaker diarization, with support for up to eight speakers. Audio can be up to one hour, or 30 minutes when timestamps or diarization are enabled.

Transcription$2 / $12

Gemini 3.8 Flash Lite TTS

Gemini 3.8 Flash Lite TTS is a text-to-speech model from Google and the fast, high-throughput member of the 3.8 TTS family alongside Gemini 3.8 Flash TTS. It is suited for conversational voice-agent pipelines, high-volume read-aloud, and voice replication workloads where latency and cost matter more than maximum expressiveness.

It accepts the same speech configuration as Gemini 3.1 Flash TTS Preview, including the 30 prebuilt studio voices, and supports Google's Voice Design and Voice Replication through voice_... identifiers.

Speech$0.50 / $6

Gemini 3.8 Flash TTS

Gemini 3.8 Flash TTS is a text-to-speech model from Google and the successor to Gemini 3.1 Flash TTS Preview. It is the creative tier of the 3.8 TTS family, suited for narration, character work, and multi-speaker dialogue where voice fidelity, acting nuance, and regional dialect coverage matter more than latency.

It accepts the same speech configuration as its predecessor, including the 30 prebuilt studio voices, and supports Google's Voice Design (custom voices from a text description) and Voice Replication (voices cloned from a short sample) through voice_... identifiers.

Speech$0.50 / $9

Gemini 3.8 Flash

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Text1.0M context$0.75 / $3.75

Gemini 3.8 Flash (batch)

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

Text1.0M context$0.375 / $1.875

Gemini 3.7 Flash

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step problem solving.

Text1.0M context$0.75 / $3.75

Gemini 3.7 Flash (batch)

Text1.0M context$0.375 / $1.875

Gemini 3.6 Flash

Gemini 3.6 Flash is a high-efficiency model from Google for coding, agentic workflows, and web and app development. It is designed to produce polished outputs with fewer unnecessary edits and less hedging, while reducing token use and the number of model calls needed to complete a task.

Text1.0M context$0.75 / $3.75

Gemini 3.6 Flash (batch)

Text1.0M context$0.375 / $1.875

Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a high-efficiency model from Google with upgraded agentic capabilities. It is suited for subagents that execute focused tasks within complex, multi-agent workflows.

Text1.0M context$0.30 / $2.50

Google: Gemini 2.5 Pro

Providers