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Google Gemini Gemini 2.0 Flash (001): API Pricing, Benchmarks & Token Calculator

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Planning to build an AI agent or application with Google Gemini Gemini 2.0 Flash (001) in 2026? Understanding your inference architecture budget is critical. At $0.10 per 1M input tokens and $0.40 per 1M output tokens, this model offers instruction-following precision suitable for High-volume text processing, RAG, and fast chat. Our interactive tool below allows you to model your exact inference architecture, adjusting for prompt caching and batching to find the highest ROI optimization for your production requirements.

  • Input Cost:$0.10 / 1M tokens
  • Output Cost:$0.40 / 1M tokens
  • Context Window:1,000,000 tokens
Compare Gemini 2.0 Flash (001) vs GPT-4o

Compare Gemini 2.0 Flash (001) with Other AI Models

Jump straight into a head-to-head pricing view with Gemini 2.0 Flash (001) first in the comparison slug, matching how the rest of LeadsCalc orders model battles.

Frequently Asked Questions about Gemini 2.0 Flash (001)

Short answers grounded in the catalog fields used by this calculator. Adjust assumptions in the tool above for your real traffic mix.

How does Gemini 2.0 Flash (001) performance compare to other models?

Based on our catalog benchmarks, Gemini 2.0 Flash (001) is evaluated across coding, logic, math, and instruction following. Use the performance radar chart above to see its exact strengths, or visit our comparison hub to see head-to-head win rates against models like GPT-4o and Claude 3.5 Sonnet.

What does Gemini 2.0 Flash (001) cost per million input and output tokens?

For Google Gemini Gemini 2.0 Flash (001), this calculator uses $0.10 per 1M input tokens and $0.40 per 1M output tokens as baseline API pricing. Rates can vary by region, commitment tier, and batch endpoints—use the calculator above to stress-test your workload.

What context window does Gemini 2.0 Flash (001) support?

Gemini 2.0 Flash (001) is listed with a 1,000,000-token context window for a single request in our catalog. Very long prompts still increase cost linearly with tokens, so pair window size with caching and retrieval when possible.

Does Gemini 2.0 Flash (001) support vision or multimodal inputs?

Gemini 2.0 Flash (001) supports image inputs in this catalog; vision is priced separately from text tokens (see your provider for how images map to tokens).

How can I compare Gemini 2.0 Flash (001) with GPT-4o, Claude 3.5 Sonnet, or DeepSeek V3?

Use the comparison links in the section above for side-by-side pricing and context, or open the full comparison hub at https://www.leadscalc.com/calculators/ai/compare to explore more model pairs.

Who hosts the Gemini 2.0 Flash (001) API?

Gemini 2.0 Flash (001) is offered under Google Gemini in this catalog. Wire your keys and endpoints per their docs; this page focuses on token economics, not account setup.