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Gemini · Fast / Budget · 1,048.576K context window

Gemini Omni 1.1 Flash pricing for json extraction

$0.0117 per call at 3,000 input / 800 output tokens.

Per call

$0.0117

10K calls/mo

$117

Cache savings

0% off input

Batch savings

50% off all

Calculate your Gemini Omni 1.1 Flash costs

Adjust token counts, volume, and discount toggles to model your json extraction spend. Prices verified daily against provider pricing pages.

Configure your usage

3,000
100100K
800
5050K
10,000
1001M

Estimated cost

Monthly cost
$117
10,000 calls/month
Cost per call$0.0117
Daily cost$4
Input rate$1.50/MTok
Output rate$9.00/MTok
Analyze your real spend

Quick start

Call Gemini Omni 1.1 Flash with the Google Generative AI SDK:

import google.generativeai as genai

model = genai.GenerativeModel("gemini-omni-1.1-flash")
response = model.generate_content("Your prompt here")
# Cost: ~$0.0117 per call at standard rates
# Input:  $1.50/MTok
# Output: $9.00/MTok

How Gemini Omni 1.1 Flash compares on cost

Per-call cost for all models scoring 50+ on json extraction benchmarks. Hover for details.

GPT 5.6 Luna$0.001560Gemini 3.5 Flash-Lite$0.002900Gemini 3 Flash$0.003900Claude Haiku 4.5$0.007000Gemini 3.5 Flash$0.0117Claude Sonnet 5$0.0140GPT 5.6 Terra$0.0156Gemini 3.1 Pro$0.0156GPT 5.4$0.0195Claude Sonnet 4.6$0.0210GPT 5.6 Sol$0.0280Claude Opus 4.8$0.0350GPT 5.5$0.0390Claude Fable 5$0.0700

Cheapest viable option: GPT 5.6 Luna at $0.001560/call (87% less, 89/100 quality).

What drives json extraction cost

Structured JSON output is compact and predictable, so cost is set almost entirely by how much source text you send. The schema itself is identical on every call and belongs in the cached prefix. This is also a task where a smaller model often matches a larger one: the output space is constrained by the schema, which limits how wrong a cheaper model can go.

For Gemini Omni 1.1 Flash specifically, that means output tokens cost 6.0x more than input, at $9.00 vs $1.50 per MTok. At this use case’s 3,000/800 token split, output accounts for 62% of the $0.0117 per-call cost.

Complete Gemini Omni 1.1 Flash pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$1.503,000
Output$9.00800

Prompt caching: 0% off input tokens

Caching drops input cost from $1.50 to $1.50/MTok. For repeated system prompts, that saves $0.0000 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.0117$117$117$0.0000
50,000 calls$0.0117$585$585$0.0000
100,000 calls$0.0117$1,170$1,170$0.0000
500,000 calls$0.0117$5,850$5,850$0.0000
1,000,000 calls$0.0117$11,700$11,700$0.0000

Gemini Omni 1.1 Flash quality benchmarks for json extraction

Benchmark data for json extraction is pending for Gemini Omni 1.1 Flash. Test against your own evaluation suite before moving to production.

Performance across all task types

Gemini Omni 1.1 Flash scores by task type. JSON Extraction highlighted.

Task typeConfidence scoreRank out of 72

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 10 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for json extraction

14 models score 80+ on json extraction benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (87% less, 89/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
GPT 5.6 LunaGPT$0.20$1.2089/100$0.00156087% cheaper
Gemini 3.5 Flash-LiteGemini$0.30$2.5083/100$0.00290075% cheaper
Gemini 3 FlashGemini$0.50$3.0086/100$0.00390067% cheaper
Claude Haiku 4.5Claude$1.00$5.0088/100$0.00700040% cheaper
Gemini 3.5 FlashGemini$1.50$9.0090/100$0.0117same cost
Claude Sonnet 5Claude$2.00$10.0088/100$0.014020% more
GPT 5.6 TerraGPT$2.00$12.0090/100$0.015633% more
Gemini 3.1 ProGemini$2.00$12.0085/100$0.015633% more
GPT 5.4GPT$2.50$15.0089/100$0.019567% more
Claude Sonnet 4.6Claude$3.00$15.0086/100$0.021079% more
GPT 5.6 SolGPT$4.00$20.0088/100$0.0280139% more
Claude Opus 4.8Claude$5.00$25.0082/100$0.0350199% more
GPT 5.5GPT$5.00$30.0087/100$0.0390233% more
Claude Fable 5Claude$10.00$50.0085/100$0.0700498% more

About Gemini Omni 1.1 Flash

Provider

Gemini

Tier

Fast / Budget

Context

1,048.576K tokens

Released

Not published

Backfilled on 2026-09-23. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date not published in a machine-readable source. Not yet benchmarked, so never recommended.

Other models from Gemini

ModelTierInput $/MTokOutput $/MTokContext
Gemini 3.1 ProMid-tier$2.00$12.001,048.576K
Gemini 3.5 FlashFast / Budget$1.50$9.001,048.576K
Gemini 3 FlashFast / Budget$0.50$3.001,048.576K
Gemini 3.5 Flash-LiteFast / Budget$0.30$2.501,048.576K
Gemini 2.5 Computer UseFast / Budget$1.25$10.00128K
Gemini 2.5 FlashFast / Budget$0.30$2.501,048.576K
Gemini 2.5 Flash-LiteFast / Budget$0.10$0.401,048.576K
Gemini 2.5 ProMid-tier$1.25$10.001,048.576K
Gemini 3.1 Flash-LiteFast / Budget$0.25$1.501,048.576K
Gemini 3.1 Pro Custom ToolsMid-tier$2.00$12.001,048.576K
Gemini 3.6 FlashFast / Budget$0.75$3.751,048.576K
Gemini 3.7 FlashFast / Budget$0.75$3.751,048.576K
Gemini 3.8 FlashFast / Budget$0.75$3.751,048.576K
Gemini Omni FlashFast / Budget$1.50$9.001,048.576K
Gemini Robotics ER 2Fast / Budget$1.00$5.00131.072K

You can compare Gemini Omni 1.1 Flash head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Gemini Omni 1.1 Flash pricing for other use cases

See how Gemini Omni 1.1 Flash costs change across different workload types.

Code Generation

$0.0390/call

Unit Test Generation

$0.0495/call

SQL Generation

$0.0113/call

API Generation

$0.0585/call

Code Refactoring

$0.0420/call

Code Review

$0.0255/call

PR Review

$0.0390/call

Security Review

$0.0315/call

Bug Detection

$0.0255/call

Document Summarization

$0.0240/call

PDF Summarization

$0.0360/call

Meeting Notes

$0.0300/call

Email Summarization

$0.009000/call

Chatbot

$0.0120/call

RAG Pipeline

$0.0225/call

Customer Support Bot

$0.0135/call

FAQ Bot

$0.009450/call

Data Extraction

$0.0150/call

Invoice Parsing

$0.008400/call

Resume Parsing

$0.0110/call

Chain of Thought

$0.0495/call

Legal Analysis

$0.0510/call

Math Reasoning

$0.0292/call

Financial Analysis

$0.0480/call

Content Moderation

$0.001650/call

Sentiment Analysis

$0.001650/call

Categorization

$0.002550/call

Intent Detection

$0.001350/call

Copywriting

$0.0188/call

Blog Writing

$0.0735/call

Marketing Copy

$0.0282/call

Product Descriptions

$0.0143/call

Related pages

Frequently asked questions

How much does Gemini Omni 1.1 Flash cost for json extraction per API call?

A typical json extraction call using Gemini Omni 1.1 Flash costs about $0.0117 per call. This estimate uses 3,000 input tokens and 800 output tokens at standard rates. Standard rates are $1.50 per million input tokens and $9.00 per million output tokens.

Is Gemini Omni 1.1 Flash the best model for json extraction?

Our benchmark data does not yet include a json extraction ranking for Gemini Omni 1.1 Flash. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for json extraction with good quality?

The most affordable model for json extraction above 80/100 quality is GPT 5.6 Luna. It comes from GPT at $0.20 per million input tokens. Output costs $1.20 per million tokens with a quality score of 89/100. Switching from Gemini Omni 1.1 Flash to GPT 5.6 Luna saves about 87% per API call.

How can I reduce my Gemini Omni 1.1 Flash costs for json extraction?

Three strategies lower Gemini Omni 1.1 Flash costs for this task type effectively. Prompt caching gives a 0% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.0117 to about $0.005850 per call.

How does Gemini Omni 1.1 Flash pricing compare to other Gemini models?

Gemini has 15 other models alongside Gemini Omni 1.1 Flash today: Gemini 3.1 Pro at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.5 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini 3 Flash at $0.50/$3.00 per million tokens (fast / budget), Gemini 3.5 Flash-Lite at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Computer Use at $1.25/$10.00 per million tokens (fast / budget), Gemini 2.5 Flash at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Flash-Lite at $0.10/$0.40 per million tokens (fast / budget), Gemini 2.5 Pro at $1.25/$10.00 per million tokens (mid-tier), Gemini 3.1 Flash-Lite at $0.25/$1.50 per million tokens (fast / budget), Gemini 3.1 Pro Custom Tools at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.6 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.7 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.8 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini Omni Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Robotics ER 2 at $1.00/$5.00 per million tokens (fast / budget). The right choice depends on whether your json extraction workload prioritizes quality, cost, or speed.

What context window does Gemini Omni 1.1 Flash support?

Gemini Omni 1.1 Flash supports a context window of 1,048.576K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For json extraction, typical calls use 3,000 input and 800 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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