Gemini

Google: Gemini 2.5 Pro

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google/gemini-2.5-pro
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Gemini 2.5 Pro is Google's flagship Gemini 2.5 model, released on 2025-06-17 and built for complex analysis and creative work. It combines thinking-style reasoning with full multimodal understanding, accepting text, image, audio, video, and PDF input, and adds function calling, prompt caching, and web search for grounded, tool-driven workflows. The 1M-token context window lets it work across entire codebases, long document sets, or hours of media in a single request. Context window: 1M tokens, output: 64K. Available via OpenAI and Gemini protocols through Ofox.

Context Window
1M
Max Output Tokens
66K
Released
2025-06-17
Capabilities
VisionFunction CallingReasoningPrompt CachingWeb SearchAudio InputVideo InputPDF Input
Available Providers
GoogleCloudVertex
Supported Protocols
OpenAIopenaiGeminigemini

Providers

GoogleCloudVertex
Input Tokens
$1.25/M
Output Tokens
$10/M
Cache Read
$0.125/M
Cache Write
$4.5/M
Audio Input
$1.25/M
Cached Audio
$0.125/M
Web Search
$0.035/R
Protocols
OpenAIopenai/v1/chat/completions
Geminigemini

Code Examples

from google import genai
client = genai.Client(
api_key="YOUR_OFOX_API_KEY",
http_options={"api_version": "v1beta", "base_url": "https://api.ofox.run/gemini"},
)
response = client.models.generate_content(
model="google/gemini-2.5-pro",
contents="Hello!",
)
print(response.text)

Uptime & Status

Benchmarks

LMArenaEvaluated as gemini-2.5-pro

Google: Gemini 2.5 Pro scores 1446 in the Overall category of the LMArena text leaderboard (style control), ranking #58 of 374 models based on 124,433 human preference votes (updated 2026-07-12).

Benchmark scores for gemini-2.5-pro on LMArena
CategoryArena Score95% CIRankVotes
Overall144614431448#58 of 374124,433
Hard Prompts145814551461#72 of 37464,583
Coding146514611469#96 of 36926,535
Math144114341448#59 of 3627,643
Creative Writing144414391449#34 of 37217,406
Instruction Following143914361443#51 of 37434,222
Chinese149014821498#50 of 3446,491

Source: LMArena · CC BY 4.0 · Updated 2026-07-12 · Methodology · Ranks compare models within each category of the LMArena text leaderboard (style control). Scores come from third-party human preference evaluations, not from OFOX.

Frequently Asked Questions

Google: Gemini 2.5 Pro on Ofox.ai costs $1.25/M per million input tokens and $10/M per million output tokens. Pay-as-you-go, no monthly fees.