Gemini Pro 2.5 API

google/gemini-2.5-pro
Advanced AI model with enhanced reasoning and coding abilities
Context
1M tokens
Input
$1.625 / 1M tokens
Output
$13 / 1M tokens
Released
Sep 9, 2025

How to use Gemini Pro 2.5 API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to google/gemini-2.5-pro.
import requests

r = requests.post(
    "https://api.aimlapi.com/v1/chat/completions",
    headers={"Authorization": "Bearer " + AIMLAPI_KEY},
    json={
      "model": "google/gemini-2.5-pro",
      "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",
    "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","messages":[{"role":"user","content":"Hello!"}]}'

OpenAI-compatible — swap the base URL and it works with your existing SDK.

Gemini Pro 2.5 API Pricing

TypePrice
Input
$1.625 / 1M tokens
Output
$13 / 1M tokens
Cached input
$1.625 / 1M tokens

Gemini Pro 2.5 Benchmarks

BenchmarkScoreWhat it measuresSourceRetrieved
Intelligence
16.7
Composite score across standardised reasoning, knowledge and problem-solving evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Coding
33.3
Composite score across standardised coding evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Math
87.7
Composite score across standardised mathematics evaluations, measured independently by Artificial AnalysisSourceSeptember 12, 2026
Humanity's Last Exam
18.8%
Expert-level questions across many domainsSourceSeptember 22, 2026
GPQA Diamond
84.0%
Google-proof graduate science questions (hardest subset)SourceSeptember 22, 2026
AIME 2025
86.7%
Competition mathematics (AIME), 2025SourceSeptember 22, 2026
LiveCodeBench
70.4%
Contamination-free competitive programming problemsSourceSeptember 22, 2026
SWE-bench Verified
63.8%
Resolving verified real GitHub issuesSourceSeptember 22, 2026
MMMU
81.7%
College-level multimodal understanding + reasoningSourceSeptember 22, 2026

Gemini Pro 2.5 vs other models

ModelInputOutputContextBest for
$1.625 / 1M tokens
$13 / 1M tokens
1M tokens
Coding + agents
$6.5 / 1M tokens
$39 / 1M tokens
1.05M tokens
Reasoning + agents
$2.6 / 1M tokens
$13 / 1M tokens
1M tokens
Balanced coding + agents
$3.9 / 1M tokens
$19.5 / 1M tokens
1M tokens
Long-context, multimodal & agentic workflows
$0.65 / 1M tokens
$3.9 / 1M tokens
1.05M tokens
Reasoning + agents

Frequently asked questions

Gemini Pro 2.5 has a 1,000,000 tokens context window and can return up to 65,536 tokens.

Gemini Pro 2.5 takes image, text as input and returns text.

Use google/gemini-2.5-pro as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.

Gemini Pro 2.5 became available on September 9, 2025.

Gemini Pro 2.5 is priced at input $1.625 / 1M tokens, output $13 / 1M tokens, cached input $1.625 / 1M tokens.

Yes, Gemini Pro 2.5 can stream responses as they are generated.

Yes, Gemini Pro 2.5 accepts image input alongside text.

Gemini Pro 2.5 was built by Google.

Yes, it supports function calling, including parallel tool calls and structured output.

Start building with Gemini Pro 2.5

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