Gemini 2.5 Pro by Google demonstrates top-tier general intelligence, solid coding performance. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.
General Benchmarks
Artificial Analysis composite intelligence score across 10 sub-benchmarks
Artificial Analysis (via OpenRouter)Massive Multitask Language Understanding professional benchmark
HuggingFace LeaderboardCoding Benchmarks
Human preference ELO for building a working web page from a brief
Design Arena (via OpenRouter)Artificial Analysis composite coding score
Artificial Analysis (via OpenRouter)Human preference ELO for building things — websites, UI, games, charts, SVG
Design Arena (via OpenRouter)Math Benchmarks
Reasoning Benchmarks
Multi-turn service agent making tool calls under strict policy constraints
OpenRouter (measured)Artificial Analysis composite score for multi-step tool-using tasks
Artificial Analysis (via OpenRouter)Speed Benchmarks
Cost Benchmarks
Cost per 1M cached input tokens — the price that actually applies to a long agent conversation
OpenRouter APIContext Benchmarks
Available from 31 providers
The same model costs different amounts depending on who serves it. You can bring your own key for 4 of these — connect it here.
| Provider | Input / 1M | Output / 1M | Cached in | Context | Your key |
|---|---|---|---|---|---|
| Poe | $0.87 | $7 | $0.087 | 1.1M | — |
| Jiekou.AI | $1.125 | $9 | — | 1.0M | — |
| 302.AI | $1.25 | $10 | — | 1.0M | — |
| Abacus | $1.25 | $10 | $0.125 | 1.0M | — |
| AIHubMix | $1.25 | $10 | $0.125 | 1.0M | — |
| Auriko | $1.25 | $10 | $0.125 | 1.0M | — |
| CrossModel | $1.25 | $10 | $0.125 | 1.0M | — |
| Databricks | $1.25 | $10 | $0.125 | 1.0M | — |
| DevPass (LLM Gateway) | $1.25 | $10 | $0.125 | 1.0M | — |
| FastRouter | $1.25 | $10 | $0.31 | 1.0M | — |
| FrogBot | $1.25 | $10 | $0.31 | 1.0M | — |
| $1.25 | $10 | $0.125 | 1.0M | Supported | |
| Impossibl | $1.25 | $10 | $0.125 | 1.0M | — |
| Kilo Gateway | $1.25 | $10 | $0.125 | 1.0M | — |
| LLM Gateway | $1.25 | $10 | $0.125 | 1.0M | — |
| Merge Gateway | $1.25 | $10 | $0.125 | 1.0M | — |
| Modelis | $1.25 | $10 | — | 1.0M | — |
| NanoGPT | $1.25 | $10 | $0.125 | 1.0M | — |
| NEAR AI Cloud | $1.25 | $10 | $0.125 | 1.0M | — |
| Ofox | $1.25 | $10 | $0.125 | 1.0M | — |
| OpenRouter | $1.25 | $10 | $0.125 | 1.0M | Supported |
| OrcaRouter | $1.25 | $10 | $0.125 | 1.0M | — |
| Perplexity Agent | $1.25 | $10 | $0.125 | 1.0M | — |
| Requesty | $1.25 | $10 | $0.31 | 1.0M | — |
| SAP AI Core | $1.25 | $10 | $0.125 | 1.0M | — |
| Vercel AI Gateway | $1.25 | $10 | $0.125 | 1.0M | Supported |
| Vertex | $1.25 | $10 | $0.125 | 1.0M | Supported |
| ZenMux | $1.25 | $10 | $0.31 | 1.0M | — |
| Cortecs | $1.495 | $9.964 | $0.242 | 1.0M | — |
| AnyAPI | — | — | — | 1.0M | — |
| Qiniu | — | — | — | 1.0M | — |
Gemini 2.5 Pro — Benchmark Scores Overview
Scores normalized to percentage scale for visual comparison. ELO scores mapped to 0-100 range (1100-1500).
Compare Gemini 2.5 Pro With
Gemini 2.5 Pro — Frequently Asked Questions
How intelligent is Gemini 2.5 Pro?
Gemini 2.5 Pro scores 1465 on the Chatbot Arena ELO rating, making it one of the top-ranked AI model. This score is based on blind head-to-head human preference voting.
How much does Gemini 2.5 Pro cost?
Gemini 2.5 Pro costs $1.3 per 1M input tokens and $10.0 per 1M output tokens. This is mid-range pricing for its capability level.
How fast is Gemini 2.5 Pro?
Gemini 2.5 Pro generates output at 55 tokens per second, which is slower, prioritizing quality over speed compared to other models. The time to first token is 500 ms.
How good is Gemini 2.5 Pro at coding?
Gemini 2.5 Pro achieves 63.8% on SWE-bench Verified, demonstrating strong real-world software engineering capability. This benchmark tests the model's ability to resolve actual GitHub issues.
How good is Gemini 2.5 Pro at math and reasoning?
Gemini 2.5 Pro scores 88.0% on the MATH benchmark (competition-level mathematics). It also achieves 79.9% on GPQA Diamond, a graduate-level science reasoning benchmark.
What is the context window of Gemini 2.5 Pro?
Gemini 2.5 Pro has a context window of 1.0M tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Gemini 2.5 Pro?
Gemini 2.5 Pro was created by Google. It is classified as a flagship model in our catalogue.
Is Gemini 2.5 Pro open source?
No, Gemini 2.5 Pro is a proprietary model. It is available through Google's API and compatible providers.