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Favicon for google

Google: Gemini 2.5 Pro

Going away October 20, 2026

google/gemini-2.5-pro

Compare

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
Compare
ProvidersPricingPerformanceUptimeBenchmarksAppsActivityFAQExplore

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), Floor (cheapest), or Exacto (highest tool-calling accuracy).

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.

Performance

Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).

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.

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 and Design Arena)
SourceBenchmarkScore
Artificial AnalysisGemini 2.5 Pro Preview (May' 25) GPQA Diamond82.2%
Artificial AnalysisGemini 2.5 Pro Preview (May' 25) HLE19.9%
Artificial AnalysisGemini 2.5 Pro Intelligence Index16.1
Artificial AnalysisGemini 2.5 Pro Coding Index33.3
Artificial AnalysisGemini 2.5 Pro Agentic Index1.6
Artificial AnalysisGemini 2.5 Pro GPQA Diamond84.4%
Artificial AnalysisGemini 2.5 Pro HLE22.5%
Artificial AnalysisGemini 2.5 Pro IFBench48.7%
Artificial AnalysisGemini 2.5 Pro τ²-Bench Telecom54.1%
Artificial AnalysisGemini 2.5 Pro AA-LCR69.0%
Artificial AnalysisGemini 2.5 Pro GDPval-AA0.0%
Artificial AnalysisGemini 2.5 Pro CritPt2.6%
Artificial AnalysisGemini 2.5 Pro SciCode46.3%
Artificial AnalysisGemini 2.5 Pro Terminal-Bench Hard26.5%
Artificial AnalysisGemini 2.5 Pro AA-Omniscience Accuracy39.1%
Artificial AnalysisGemini 2.5 Pro AA-Omniscience Non-Hallucination Rate9.1%
Design ArenaGemini 2.5 Pro Models Arena 3D Elo1099
Design ArenaGemini 2.5 Pro Models Arena Code Categories Elo1161
Design ArenaGemini 2.5 Pro Models Arena Data Visualization Elo1231
Design ArenaGemini 2.5 Pro Models Arena Game Development Elo1124
Design ArenaGemini 2.5 Pro Models Arena UI Component Elo1150
Design ArenaGemini 2.5 Pro Models Arena Website Elo1175

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.

Activity

Token volume and request traffic to this model over time.

API

Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.

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--
Throughput
140tok/s

P50, best across providers

Latency
1.25s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchGoogle Vertex (US)79.1%66.0%Google Vertex (EU)80.3%62.7%auto-routing81.0%60.7%Google Vertex78.8%58.0%Google AI Studio79.8%51.3%
Uptime (3d)The model was reachable. Request routed to a provider.
100.00%
Availability (3d)The model returned inference from any provider. Errors and empty responses count against it.
98.63%

Availability over the last 3 days

Last 72 hours
Availability 98.63%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
98.69%
Without Routing
96.07%

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 customization options.

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Sophia's LoreBary
Organize and enhance your roleplay creations.
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3.
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4.
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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.
2.97Btokens
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Frequently asked questions

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 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.

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

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.

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

Gemini 2.5 Pro is served by 2 providers on OpenRouter: Google Vertex and Google AI Studio. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.

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

More models from Google

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

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

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.

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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.

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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.

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Gemini 3.5 Flash Lite

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Nano Banana 2 Lite

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Positioned as the best balance of quality and speed in the Nano Banana 2 line, it lets you generate thousands of images at a fraction of the cost of heavier production models — ideal for prototyping, real-time apps, and visual workflows at scale.

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Nano Banana Pro

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