A rate per million tokens is not a budget. The calculator takes your request volume, prompt size and cache hit rate and gives you a monthly figure.
Gemini 2.0 Flash API pricing (September 2026)
Shut down by Google on 1 Jun 2026, shown at its final price for historical comparison only.
What it costs at real volumes
A chat-shaped workload: 800 input tokens and 300 output tokens per request, no caching, no batch.
Specifications
- Provider
- Google Gemini
- Context window
- 1.0M tokens
- Max output
- 8.2K tokens
- Tier
- Small
- Status
- Retired
- Blended $/1M (3:1)
- $0.175
- Cache break-even, caching each turn
- 0%, caching always saves
- Prices verified
- 11 Sep 2026
Source: Google Gemini pricing. Finitizer is not affiliated with Google Gemini.
Similar models
Other Gemini models
- Gemini 4 Argon+$3.83
- Gemini 3.1 Pro Preview+$4.33
- Gemini 3.8 Flash+$1.33
- Gemini 3.5 Flash-Lite+$0.675
- Gemini 2.5 Pro+$3.26
- Gemini 2.5 Flash+$0.675
- Gemini 2.5 Flash-Litesame price
Closest prices elsewhere
- Claude Haiku 5.5+$0.025
- GPT-6 Luna+$0.025
- GPT-OSS 20B (Groq)-$0.044
- Amazon Nova Lite-$0.070
Frequently asked questions
How much did Gemini 2.0 Flash cost per 1M tokens?
Gemini 2.0 Flash cost $0.100 per million input tokens and $0.400 per million output tokens at Google Gemini final list prices. Output was 4.0x the input rate, so the input:output ratio of a workload drives the real cost more than the headline price.
Does Gemini 2.0 Flash support prompt caching?
Yes. Cached input is billed at $0.025 per million tokens, 4x cheaper than uncached input. There is no cache-write premium, so caching is never a net loss.
What is the batch discount for Gemini 2.0 Flash?
Requests submitted through the asynchronous batch endpoint are billed at 50% off both input and output rates, bringing input to $0.050 and output to $0.200 per million tokens.
What is Gemini 2.0 Flash's context window?
1.0M tokens of context with up to 8.2K output tokens per request. A larger context window raises the ceiling on what you can send, not the price per token, but filling it on every request is one of the most common causes of an unexpected bill.
Running Gemini 2.0 Flash in production?
Finitizer Tokenomics reads what this model actually costs you from your own bills and exports, shows which workload, team or API key is spending it, flags a spike or a new spend source the day your data shows it, and forecasts where the month will land.
See Finitizer Tokenomics