Gemini 1.5 Flash
Pricing & Specs

Google (Gemini) · $0.075 input / $0.3 output per 1M tokens · 1M context window

No longer offered on OpenMark

$0.075
per 1M input tokens
$0.3
per 1M output tokens
1M
context window (tokens)

Gemini 1.5 Flash is no longer offered on OpenMark (deprecated or superseded upstream). Its specs are kept here for reference — if you're still running it in production, it's worth benchmarking current alternatives: newer models are often cheaper AND better on the same task.

Gemini 1.5 Flash API Pricing

TokensPrice
Input$0.075 / 1M tokens
Output$0.3 / 1M tokens
Cached input$0.01875 / 1M tokens

Context caching tiers: $0.01875, $0.0375

What that means in practice

1x One typical task (1K input + 500 output tokens): $0.0002
1K 1,000 runs of that task: $0.23
💡 Real cost depends on how verbose the model is on YOUR prompts — benchmark to measure actual tokens, not estimates.

Gemini 1.5 Flash Specs

SpecValue
Context window1M tokens
Max output tokens8.192K tokens
Input modalitiestext, image, audio, video
Output modalitiestext
Latency (measured by OpenMark)~535ms median response
Reasoning modelNo
Tool / function callingYes
JSON modeYes
StreamingYes
Prompt cachingYes
Batch APIYes

Capabilities

text generation vision function calling structured outputs streaming code execution

FAQ

How much does Gemini 1.5 Flash cost?

Gemini 1.5 Flash costs $0.075 per 1M input tokens and $0.3 per 1M output tokens ($0.01875 per 1M cached input tokens).

What is Gemini 1.5 Flash's context window?

Gemini 1.5 Flash has a 1M-token context window. Maximum output is 8.192K tokens.

Can I test Gemini 1.5 Flash on my own task?

Gemini 1.5 Flash is no longer offered on OpenMark, but you can benchmark its current alternatives from Google (Gemini) and other providers on your own task — free tier available.

Still using Gemini 1.5 Flash?

It's been superseded. Benchmark its current alternatives on your actual
workload — you'll likely find something cheaper AND better. Free tier available.

Test Current Alternatives — Free →