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Gemini 2.5 Pro

Chat model by Google.

Google language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation.

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Models / Gemini 2.5 ProID: deepinfra/google/gemini-2.5-pro

Context window

Maximum input context length.

1M

tokens

Maker

Google

Served On: DeepInfra

Specifications

Context window, ranked against other chat models

Proportional scale: 0 to 1.05M tokens. Not ranked, no published context window: qwen-plus-2025-09-11, voxtral-small-24b-2507, qwen3.6-plus-2026-04-02.

Context window

1.0M

tokens
Max output

—

Modality

chat

Vision
Function calling
System prompt

Benchmarks & performance rankings

Empirical intelligence benchmarks and category leaderboard placements for Gemini 2.5 Pro.

Compare in BenchmarksLeaderboard
Leaderboard placements
#10
agentScore: 96.5%
#26
overallScore: 93.4%
#36
documentScore: 0%
Core benchmark dimensionsSource: Google DeepMind Technical Report & LMSYS
MMLUKnowledge

89.8%

HumanEvalCoding

93.1%

Latency p50TTFT

350ms

p99: 1120ms

ThroughputStream

95tok/s

SWE-bench: 48.6%

Recommended by nRouter Smart Routing: Long-horizon multi-step workflows and repository planning. Key operational strength: Leading autonomous agent reasoning over 2M token context.

Pricing

Rates are read live

Pricing for google/gemini-2.5-pro is fetched from the live catalogue on load, so it is never served from a cache that could outlive a repricing.

Availability

Not enough data yet

We have not collected enough health probes for this model to publish an uptime or latency figure. A percentage from a handful of samples is fabricated precision, so none is shown until the sample count supports one.

How Gemini 2.5 Pro is billed

Billed at the provider's list price, with no per-token markup.

Exact list price
Tokens settle at the published rate of the model that served your call.
Cache discounts passed through
Provider prompt-caching discounts reach your balance with no added fee.
Cost on every response
Each response carries the x-nr-request-cost header, so you can reconcile spend per request.

More from Google

gemini-3.1-progoogle/gemma-4-31B-itgoogle/gemma-4-26B-A4B-itgemini-3.1-flash-lite

Start building with google/gemini-2.5-pro

One API key, three steps. Choose your tool to begin.

  1. Get a key

    Create API key

  2. Set your API key

    export NROUTER_API_KEY="<YOUR_API_KEY>"

  3. Configure Claude Code

    Choose a tool, then copy its setup from the panel.

npm install -g @anthropic-ai/claude-code
Claude Code · deepinfra/google/gemini-2.5-pro
# Point Claude Code to nRouter gateway
export ANTHROPIC_BASE_URL="https://api.nrouter.ai"
export ANTHROPIC_API_KEY="$NROUTER_API_KEY"

# Launch with deepinfra/google/gemini-2.5-pro
claude --model deepinfra/google/gemini-2.5-pro

FAQs

What is Gemini 2.5 Pro?

Google language model featuring a 1,000,000-token context window. Engineered for dialogue, instruction following, and versatile text generation.

How much does Gemini 2.5 Pro cost?

Gemini 2.5 Pro is billed at the provider's list price on nRouter with no per-token markup — tokens settle at the exact upstream rate. Input and output rates are read live, so see the pricing section above for the current figures.

What is the context length of Gemini 2.5 Pro?

Gemini 2.5 Pro supports a 1,000,000-token context window.

Does Gemini 2.5 Pro support tool calling and structured outputs?

Yes. Gemini 2.5 Pro supports tool calling (function calling), so it can invoke external tools and APIs during a conversation.

What inputs and outputs does Gemini 2.5 Pro support?

Gemini 2.5 Pro takes text and images as input and returns text as output.

How do I use Gemini 2.5 Pro via nRouter?

Use any OpenAI-compatible client: point it at https://api.nrouter.ai/v1 with your nRouter API key and set the model to "deepinfra/google/gemini-2.5-pro". The quick-start panel above has a copy-paste curl command for this model.

When was Gemini 2.5 Pro released?

Gemini 2.5 Pro was released on October 7, 2026.

Where is the Gemini 2.5 Pro documentation?

Start at nrouter.ai/docs. The quick-start guide (nrouter.ai/docs/getting-started/quick-start) covers API keys and your first request, and the API reference (nrouter.ai/docs/api-reference) lists every parameter.

What other text models does Google have?

Other Google text models on nRouter include Gemini 3.1 Pro (nrouter.ai/models/gemini-3.1-pro), Gemma 4 31B Instruct (nrouter.ai/models/google-gemma-4-31b-it), Gemma 4 26B A4B Instruct (nrouter.ai/models/google-gemma-4-26b-a4b-it), Gemini 3.1 Flash Lite (nrouter.ai/models/gemini-3.1-flash-lite).