Requesty

gemini-2.0-flash-001

Gemini Flash 2.0 offers a significantly faster time to first token (TTFT) compared to [Gemini Flash 1.5](/google/gemini-flash-1.5), while maintaining quality on par with larger models like [Gemini Pro 1.5](/google/gemini-pro-1.5). It introduces notable enhancements in multimodal understanding, coding capabilities, complex instruction following, and function calling. These advancements come together to deliver more seamless and robust agentic experiences.

👁Vision🔧Tool calling

Specifications

Context window1.0M tokens
Max output8K tokens
API typechat
AddedFeb 5, 2025
Model IDgoogle/gemini-2.0-flash-001
Data retentionYes
Used for trainingUnknown
Provider location🌍 Global
Privacy policyGemini API Terms

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model — check the base model page or the Google LLC (Gemini API) models overview.

Pricing

Input / 1M
$0.10
Output / 1M
$0.40
Cache write
Cache read
Estimated cost
100K input + 10K output$0.0140
1M input + 100K output$0.14
10M input + 1M output$1.40

Requesty charges exactly what the upstream provider charges — no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to google/gemini-2.0-flash-001.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="google/gemini-2.0-flash-001", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other Google LLC (Gemini API) models

Frequently asked questions

How much does gemini-2.0-flash-001 cost?
gemini-2.0-flash-001 is priced at $0.10 per million input tokens and $0.40 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges — we don't add markup.
What is the context window of gemini-2.0-flash-001?
gemini-2.0-flash-001 has a context window of 1.0M tokens, with a maximum output of 8K tokens per response. That's roughly 1,398 words of input you can fit in a single prompt.
What can gemini-2.0-flash-001 do?
gemini-2.0-flash-001 supports vision input, tool calling. You can call it through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gemini-2.0-flash-001 with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "google/gemini-2.0-flash-001". The Quickstart above shows Python, JavaScript and cURL snippets.

Access gemini-2.0-flash-001 through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.