Gemini 2.5 Flash API

Gemini 2.5 Flash is a powerful AI model developed by Google, designed to handle complex tasks with high accuracy and efficiency and has thinking capabilities.

Modalities: Text, ImageText
In / Out price: $0.3/$2.5per 1M
Context window: 1M tokens
Released: Sep 9, 2025

Gemini 2.5 Flash overview

Gemini 2.5 Flash by Google

Google DeepMind’s Gemini 2.5 Flash offers hybrid reasoning, supporting text, images, video, and audio.

Gemini 2.5 Flash specs

Model ID: google/gemini-2.5-flash
Developer: Google
Context window: 1,000,000 tokens
Max output: 65,536 tokens
Input: Text, Image
Output: Text
API: OpenAI-compatible, base URL https://api.aimlapi.com/v1

Gemini 2.5 Flash Description

Gemini 2.5 Flash, developed by Google DeepMind, is a fast, cost-effective multimodal AI model designed for reasoning and coding tasks. With a 1-million-token context window, it excels in web development, math, and scientific analysis. Available via Google AI Studio and Vertex AI (preview), it balances quality, cost, and speed for developers and enterprises.

Performance Benchmarks

Gemini 2.5 Flash is a hybrid reasoning model with a Transformer-based architecture, allowing developers to adjust "thinking" depth for optimized performance. It supports text, image, video, and audio inputs, with enhanced post-training for superior reasoning.

Context Window: 1 million tokens, expanding to 2 million soon.
Output Capacity: Up to 32,768 tokens per response.
Benchmarks:
- AIME 2025 (math): 78.3% (with thinking), 72.1% (without thinking)
- GPQA Diamond (science): 76.5% (with thinking)
- SWE-Bench Verified (coding): 58.2% (with thinking)
Performance: 180 tokens/second output speed, 0.8s latency (TTFT without thinking).

Key Capabilities

Gemini 2.5 Pro Experimental is a reasoning-focused model, methodically analyzing tasks for accurate, nuanced outputs. Its multimodal capabilities enable seamless integration of text, images, video, and audio, making it versatile for complex workflows.

Advanced Coding: Tops WebDev Arena, generating functional web apps with aesthetic UI (e.g., video players, dictation apps). Supports 40+ languages and agentic coding with minimal supervision.
Reasoning and Problem-Solving: Excels in math (AIME 2025: 86.7%) and science (GPQA: 84%), with built-in thinking for logical conclusions.
Multimodal Processing: Scores 84.8% on VideoMME, enabling video-to-code workflows (e.g., learning apps from YouTube videos).
Tool Utilization: Supports function calling, JSON structuring, and external tool integration for multi-step tasks and API interactions.
Web Development: Generates responsive, visually appealing web apps with features like wavelength animations and hover effects.
Interactive Simulations: Creates executable code for games (e.g., endless runner) and visualizations (e.g., Mandelbrot fractals, boid animations).
API Features: Offers streaming, function calling, and multilingual support for real-time, scalable applications.

Optimal Use Cases

Web Development: Creating interactive apps with responsive design.
Code Generation: Autonomous coding for simulations and large codebases.
Scientific Research: Data analysis in math and science.
Multimodal Applications: Learning apps from videos and visualizations.
Business Automation: Streamlining tasks with API integration.

Comparison with Other Models

vs. Claude 3.7 Sonnet: Lower SWE-Bench score (58.2% vs. ~65%), but faster and cheaper.
vs. DeepSeek R1: Lower AIME score (78.3% vs. 93.3%), but better in multimodality.
vs. Qwen3-235B-A22B: Higher output speed (180 vs. 40.1 tokens/second) and lower cost.

Limitations

High latency (0.8s TTFT) with thinking for real-time use.
Experimental status may affect stability.
Thinking mode increases costs.

Use cases

Mobile and web-based chatbots requiring real-time responses
Lightweight AI applications and assistants for fast text generation
Enterprise workflows requiring long context understanding with speed
Quick summarization and information extraction tasks
On-the-fly coding help and developer productivity tools

Capabilities

Function calling
Streaming
Structured outputs
Reasoning

Gemini 2.5 Flash benchmarks by Artificial Analysis

See how Gemini 2.5 Flash compares in generation speed and latency. Data retrieved Nov 3, 2026.

Speed#25 / 219215Output tokens / second Latency#205 / 21614.49Seconds to first token Humanity's Last Exam#185 / 45812.1%Score GPQA Diamond#143 / 43979%Score

Speed

Output tokens / second

Benchmark results

Compare 14 models available on AI/ML API across 5 independent benchmarks.

Humanity's Last Exam

Expert-written questions across academic subjects.

Gemini 2.5 Flash API pricing

Gemini 2.5 Flash pricing in US dollars
Usage	Price	Unit
Input	$0.3	1M tokens
Output	$2.5	1M tokens
Cached input	$0.3	1M tokens

Prices from the AI/ML API price list, checked on Nov 4, 2026.

Gemini 2.5 Flash vs other models: token prices

AI/ML API input and output rates for 5 models, per million tokens.

AI/ML API model prices in USD per million tokens
Model	Input	Output
Gemini 2.5 Flash	$0.3	$2.5
Gemini 3.5 Flash Lite	$0.3	$2.5
Gemini 3.8 Flash	$0.75	$3.75
Gemini 3.7 Flash	$0.75	$3.75
Gemini 4 Argon	$2	$10

How to use the Gemini 2.5 Flash API

View docs

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "google/gemini-2.5-flash",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "google/gemini-2.5-flash",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = 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-flash",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

All posts

Gemini 2.5 Flash FAQ

What is the context window of Gemini 2.5 Flash?

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

What inputs and outputs does Gemini 2.5 Flash support?

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

What is the model ID for Gemini 2.5 Flash?

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

When was Gemini 2.5 Flash released?

Gemini 2.5 Flash became available on September 9, 2025.

How much does Gemini 2.5 Flash cost?

Gemini 2.5 Flash costs $0.3 input and $2.5 output per 1M tokens on AI/ML API, billed as you go with no subscription.

Does Gemini 2.5 Flash support streaming?

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

Can Gemini 2.5 Flash read images?

Yes, Gemini 2.5 Flash accepts image input alongside text.

Who created Gemini 2.5 Flash?

Gemini 2.5 Flash was built by Google.

Can Gemini 2.5 Flash call external tools or functions?

Yes, it supports function calling, including parallel tool calls.

Does Gemini 2.5 Flash return structured output formats?

Yes, it supports structured output generation.

Start building with Gemini 2.5 Flash

Get API key

Gemini 2.5 Flash API

google/gemini-2.5-flash

Build with your agent

Give your agent the model details, code and documentation.

1Get your API key

Create API key

export AIMLAPI_KEY="8f2b4c7d9a1e6b3f…"

2Make your first request

curl 'https://api.aimlapi.com/v1/chat/completions' \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H 'Content-Type: application/json' \
  -d '{
  "model": "google/gemini-2.5-flash",
  "messages": [
    {
      "role": "user",
      "content": "Write a haiku about the ocean."
    }
  ]
}'

import os
import requests

headers = {
    "Authorization": f"Bearer {os.environ['AIMLAPI_KEY']}",
    "Content-Type": "application/json",
}
payload = {
    "model": "google/gemini-2.5-flash",
    "messages": [
        {
            "role": "user",
            "content": "Write a haiku about the ocean."
        }
    ]
}

response = requests.post("https://api.aimlapi.com/v1/chat/completions", headers=headers, json=payload, timeout=120)
response.raise_for_status()
print(response.json())

const response = 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-flash",
    "messages": [
      {
        "role": "user",
        "content": "Write a haiku about the ocean."
      }
    ]
  }),
});

if (!response.ok) throw new Error(`HTTP ${response.status}`);
console.log(await response.json());

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Gemini 2.5 Flash API

Gemini 2.5 Flash overview

Gemini 2.5 Flash by Google

Gemini 2.5 Flash specs

Gemini 2.5 Flash Description

Performance Benchmarks

Key Capabilities

Optimal Use Cases

Comparison with Other Models

Limitations

Use cases

Capabilities

Gemini 2.5 Flash benchmarks by Artificial Analysis

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

AA-LCR

IFBench

τ²-Bench Telecom

Gemini 2.5 Flash API pricing

Gemini 2.5 Flash vs other models: token prices

How to use the Gemini 2.5 Flash API

Build with your agent

1Get your API key

2Make your first request

Related articles

Gemini 2.5 Flash FAQ

Start building with Gemini 2.5 Flash

Gemini 2.5 Flash API

Build with your agent

1Get your API key

2Make your first request

Gemini 2.5 Flash API

Gemini 2.5 Flash overview

Gemini 2.5 Flash by Google

Gemini 2.5 Flash specs

Gemini 2.5 Flash Description

Performance Benchmarks

Key Capabilities

Optimal Use Cases

Comparison with Other Models

Limitations

Use cases

Capabilities

Speed

Benchmark results

Humanity's Last Exam

GPQA Diamond

AA-LCR

IFBench

τ²-Bench Telecom

Gemini 2.5 Flash API pricing

Gemini 2.5 Flash vs other models: token prices

How to use the Gemini 2.5 Flash API

Build with your agent

1Get your API key

2Make your first request

Models similar to Gemini 2.5 Flash

Gemini 4 Argon

Gemini 3.8 Flash

Gemini 3.7 Flash

DeepSeek Chat (V4.1 Flash)

DeepSeek V4.1 Flash

MiniMax-M2.5

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Gemini 2.5 Flash FAQ

Start building with Gemini 2.5 Flash