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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
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), or Floor (cheapest).

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, Design Arena and Vals AI)
SourceBenchmarkScore
Artificial AnalysisGemini 2.5 Pro Coding Index33.3
Artificial AnalysisGemini 2.5 Pro Math Index87.7
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 τ-Bench Banking9.7%
Artificial AnalysisGemini 2.5 Pro GDPval-AA0.0%
Artificial AnalysisGemini 2.5 Pro CritPt2.6%
Artificial AnalysisGemini 2.5 Pro LiveCodeBench80.1%
Artificial AnalysisGemini 2.5 Pro SciCode46.3%
Artificial AnalysisGemini 2.5 Pro Terminal-Bench Hard26.5%
Artificial AnalysisGemini 2.5 Pro Terminal-Bench 4.00.0%
Artificial AnalysisGemini 2.5 Pro Terminal-Bench 2.128.5%
Artificial AnalysisGemini 2.5 Pro MMLU-Pro86.2%
Artificial AnalysisGemini 2.5 Pro AIME 202587.7%
Artificial AnalysisGemini 2.5 Pro AIME88.7%
Artificial AnalysisGemini 2.5 Pro MATH-50096.7%
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 Preview (May' 25) LiveCodeBench77.0%
Artificial AnalysisGemini 2.5 Pro Preview (May' 25) MMLU-Pro83.7%
Artificial AnalysisGemini 2.5 Pro Preview (May' 25) AIME84.3%
Artificial AnalysisGemini 2.5 Pro Preview (May' 25) MATH-50098.6%
Design ArenaGemini 2.5 Pro Models Arena 3D Elo1076
Design ArenaGemini 2.5 Pro Models Arena Code Categories Elo1150
Design ArenaGemini 2.5 Pro Models Arena Data Visualization Elo1222
Design ArenaGemini 2.5 Pro Models Arena Game Development Elo1111
Design ArenaGemini 2.5 Pro Models Arena UI Component Elo1134
Design ArenaGemini 2.5 Pro Models Arena Website Elo1165
Vals AIGemini 2.5 Pro CaseLaw v263.9%
Vals AIGemini 2.5 Pro CorpFin v260.8%
Vals AIGemini 2.5 Pro Finance Agent v1.141.6%
Vals AIGemini 2.5 Pro IOI v117.1%
Vals AIGemini 2.5 Pro MedCode50.6%
Vals AIGemini 2.5 Pro MedScribe73.6%
Vals AIGemini 2.5 Pro MortgageTax68.9%
Vals AIGemini 2.5 Pro SAGE v141.9%
Vals AIGemini 2.5 Pro SWE-bench54.4%
Vals AIGemini 2.5 Pro Terminal-Bench 2.030.3%
Vals AIGemini 2.5 Pro Vals Index39.3%
Vals AIGemini 2.5 Pro Vals Multimodal Index42.4%
Vals AIGemini 2.5 Pro Vibe Code Bench v1.10.4%

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.

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.

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

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Latency / throughput
$1.250$10.00$0.1250$0.12502.92s94 tps
100.00%
Not used in Standard routing:Why these endpoints are not used
Flex
$0.625$5.00$0.0625$0.06252.69s93 tps
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Priority
$2.250$18.00$0.2250$0.22502.93s58 tps
100.00%
Throughput
94tok/s

P50, best across providers

Latency
2.69s

P50, best provider

AutoExacto benchmarks
GPQA DiamondTAU-BenchGoogle Vertex84.5%60.7%Google Vertex85.5%58.7%Google AI Studio84.7%58.7%Google Vertex86.4%54.0%auto-routing84.2%55.3%
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.
99.81%

Availability over the last 3 days

Last 72 hours
Availability 99.81%
3 Days Ago2 Days AgoYesterdayNow

Availability over the last 24 hours

OpenRouter Availability
99.80%

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.

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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 4 Argon, Nano Banana 2.1, Gemini 3.8 Flash and 26 more are other text models from Google.

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