import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "google/gemini-2.5-pro-preview-05-06", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "google/gemini-2.5-pro-preview-05-06", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"google/gemini-2.5-pro-preview-05-06","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Cached input |
| Benchmark | Score | What it measures | Source | Retrieved |
|---|---|---|---|---|
| LiveCodeBench | 75.6% | Contamination-free competitive programming problems | Source | July 12, 2026 |
| SWE-bench Verified | 63.2% | Resolving verified real GitHub issues | Source | July 12, 2026 |
| AIME 2025 | 83% | Competition mathematics (AIME), 2025 | Source | July 12, 2026 |
| GPQA Diamond | 83% | Google-proof graduate science questions (hardest subset) | Source | July 12, 2026 |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Gemini 2.5 Pro Preview 05-061 This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Gemini 2.5 Pro Preview 05-061 has a 1,048,576 tokens context window and can return up to 65,535 tokens.
Gemini 2.5 Pro Preview 05-061 takes image, text as input and returns text.
Use google/gemini-2.5-pro-preview-05-06 as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Gemini 2.5 Pro Preview 05-061 is priced at input $1.71925 / 1M tokens, output $13.754 / 1M tokens, cached input $0.171925 / 1M tokens.
Yes, Gemini 2.5 Pro Preview 05-061 can stream responses as they are generated.
Yes, Gemini 2.5 Pro Preview 05-061 accepts image input alongside text.
Gemini 2.5 Pro Preview 05-061 was built by Google.
It supports function calling, reasoning, structured outputs, streaming, web search, parallel tool calls, and vision/file input alongside text.