tokevenGemini · Fast / Budget · 1,048.576K context window
Gemini Omni 1.1 Flash pricing for rag pipeline
$0.0225 per call at 6,000 input / 1,500 output tokens.
Per call
$0.0225
10K calls/mo
$225
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 rag pipeline spend. Prices verified daily against provider pricing pages.
Configure your usage
Estimated cost
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: ~$0.0225 per call at standard rates
# Input: $1.50/MTok
# Output: $9.00/MTokHow Gemini Omni 1.1 Flash compares on cost
Per-call cost for all models scoring 50+ on rag pipeline benchmarks. Hover for details.
Cheapest viable option: GPT 5.6 Luna at $0.003000/call (87% less, 85/100 quality).
What drives rag pipeline cost
Retrieval-augmented calls are dominated by the retrieved passages, not the question. Retrieving eight chunks instead of three roughly triples input cost for an answer that is often no better, so retrieval tuning is cost tuning. The system prompt and instructions are identical on every call, which makes cache reads the first thing to enable.
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 6,000/1,500 token split, output accounts for 60% of the $0.0225 per-call cost.
Complete Gemini Omni 1.1 Flash pricing breakdown
Standard token rates
| Direction | $/MTok | Tokens per call |
|---|---|---|
| Input | $1.50 | 6,000 |
| Output | $9.00 | 1,500 |
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 volume | Cost per call | Standard monthly | Cached monthly | You save with caching |
|---|---|---|---|---|
| 10,000 calls | $0.0225 | $225 | $225 | $0.0000 |
| 50,000 calls | $0.0225 | $1,125 | $1,125 | $0.0000 |
| 100,000 calls | $0.0225 | $2,250 | $2,250 | $0.0000 |
| 500,000 calls | $0.0225 | $11,250 | $11,250 | $0.0000 |
| 1,000,000 calls | $0.0225 | $22,500 | $22,500 | $0.0000 |
Gemini Omni 1.1 Flash quality benchmarks for rag pipeline
Benchmark data for rag pipeline 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. RAG Pipeline highlighted.
| Task type | Confidence score | Rank 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 rag pipeline
12 models score 80+ on rag pipeline benchmarks, sorted by input rate. Cheapest: GPT 5.6 Luna (87% less, 85/100 quality).
| Model | Provider | Input $/MTok | Output $/MTok | Quality | Per call | vs Gemini |
|---|---|---|---|---|---|---|
| GPT 5.6 Luna | GPT | $0.20 | $1.20 | 85/100 | $0.003000 | 87% cheaper |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 86/100 | $0.0135 | 40% cheaper |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 84/100 | $0.0225 | same cost |
| Claude Sonnet 5 | Claude | $2.00 | $10.00 | 89/100 | $0.0270 | 20% more |
| GPT 5.6 Terra | GPT | $2.00 | $12.00 | 92/100 | $0.0300 | 33% more |
| Gemini 3.1 Pro | Gemini | $2.00 | $12.00 | 87/100 | $0.0300 | 33% more |
| GPT 5.4 | GPT | $2.50 | $15.00 | 91/100 | $0.0375 | 67% more |
| Claude Sonnet 4.6 | Claude | $3.00 | $15.00 | 88/100 | $0.0405 | 80% more |
| GPT 5.6 Sol | GPT | $4.00 | $20.00 | 91/100 | $0.0540 | 140% more |
| Claude Opus 4.8 | Claude | $5.00 | $25.00 | 85/100 | $0.0675 | 200% more |
| GPT 5.5 | GPT | $5.00 | $30.00 | 90/100 | $0.0750 | 233% more |
| Claude Fable 5 | Claude | $10.00 | $50.00 | 88/100 | $0.1350 | 500% 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
| Model | Tier | Input $/MTok | Output $/MTok | Context |
|---|---|---|---|---|
| Gemini 3.1 Pro | Mid-tier | $2.00 | $12.00 | 1,048.576K |
| Gemini 3.5 Flash | Fast / Budget | $1.50 | $9.00 | 1,048.576K |
| Gemini 3 Flash | Fast / Budget | $0.50 | $3.00 | 1,048.576K |
| Gemini 3.5 Flash-Lite | Fast / Budget | $0.30 | $2.50 | 1,048.576K |
| Gemini 2.5 Computer Use | Fast / Budget | $1.25 | $10.00 | 128K |
| Gemini 2.5 Flash | Fast / Budget | $0.30 | $2.50 | 1,048.576K |
| Gemini 2.5 Flash-Lite | Fast / Budget | $0.10 | $0.40 | 1,048.576K |
| Gemini 2.5 Pro | Mid-tier | $1.25 | $10.00 | 1,048.576K |
| Gemini 3.1 Flash-Lite | Fast / Budget | $0.25 | $1.50 | 1,048.576K |
| Gemini 3.1 Pro Custom Tools | Mid-tier | $2.00 | $12.00 | 1,048.576K |
| Gemini 3.6 Flash | Fast / Budget | $0.75 | $3.75 | 1,048.576K |
| Gemini 3.7 Flash | Fast / Budget | $0.75 | $3.75 | 1,048.576K |
| Gemini 3.8 Flash | Fast / Budget | $0.75 | $3.75 | 1,048.576K |
| Gemini Omni Flash | Fast / Budget | $1.50 | $9.00 | 1,048.576K |
| Gemini Robotics ER 2 | Fast / Budget | $1.00 | $5.00 | 131.072K |
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
Customer Support Bot
$0.0135/call
FAQ Bot
$0.009450/call
Data Extraction
$0.0150/call
JSON Extraction
$0.0117/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 rag pipeline per API call?
A typical rag pipeline call using Gemini Omni 1.1 Flash costs about $0.0225 per call. This estimate uses 6,000 input tokens and 1,500 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 rag pipeline?
Our benchmark data does not yet include a rag pipeline 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 rag pipeline with good quality?
The most affordable model for rag pipeline 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 85/100. 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 rag pipeline?
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 $0.0225 to about $0.0112 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 rag pipeline 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 rag pipeline, typical calls use 6,000 input and 1,500 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.
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This calculator estimates costs based on published rates only. Connect your API usage to see where your money goes and which models drive your spend.