Google · language model
Gemini Omni 1.1 Flash: pricing, context and benchmarks
Gemini Omni 1.1 Flash is a language model from Google released on November 4, 2026. It costs $1.5 per million input tokens and $9 per million output tokens, with a 131.1K-token context window. No independent score has been published for it so far.
| Price | 7/30 | |
|---|---|---|
| Context | 4/15 | |
| Features | 3/15 |
What you need to know about Gemini Omni 1.1 Flash
Gemini Omni 1.1 Flash was released by Google (United States) on November 4, 2026. It accepts text, images, and video as input and produces text and video. Its context window reaches 131,072 tokens, larger than 29 % of the models in the registry, and it can write up to 65,536 tokens in one go.
It is a recent model: real-world feedback and independent scores are still scarce.
Gemini Omni 1.1 Flash pricing
On OpenRouter, Gemini Omni 1.1 Flash costs $1.5 per million input tokens and $9 per million output tokens. Counting three tokens read for every token written, its average price is $3.375 per million, more expensive than 78 % of paid models (4.2 times the median of $0.8).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0075. At 1,000 tasks a day, budget $225 a month. The price calculator redoes this with your own volumes.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Gemini Omni 1.1 Flash. We therefore show no made-up performance rating: only price, context and features count towards its score.
Features, privacy and local use
- It does not support tool calling: it is not suited to driving an AI agent that has to act.
- It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
Its weights are not published: it can only be used through the Google API or a broker such as OpenRouter, which means sending your data off your machines.
Other Google models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Gemini Omni 1.2 Flash | Nov 5, 2026 | $3.38 | — |
| Gemini 4 Argon | Oct 13, 2026 | $4 | 166.5 |
| Nano Banana 2.1 | Oct 6, 2026 | $3 | — |
| Gemini 3.8 Flash | Sep 2, 2026 | $1.65 | 158.6 |
| Gemini 3.7 Flash | Aug 13, 2026 | $1.5 | 158.4 |
| Gemini 3.6 Flash | Jul 21, 2026 | $1.5 | 155.2 |
| Gemini 3.5 Flash Lite | Jul 21, 2026 | $0.85 | 145.6 |
| Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | Jun 30, 2026 | $0.56 | — |
Verdict
Gemini Omni 1.1 Flash scores 23/100 on our grid, which only uses published figures.
Limitations
- No tool calling: unusable as an agent's brain.
- No independent score published: performance cannot be verified.
Avoid if…
- you process large volumes on a tight budget;
- your data must not leave your servers;
- you are building an agent that must call tools;
- your tasks are mostly simple: a non-reasoning model will cost less.
Alternatives
- Mistral Large 2407$3
- Aion-3.0$3.75
- o3$3.5
- Mistral Large$3
- Claude Haiku 4.5$2
- Sonar Reasoning Pro$3.5
Comparisons and tools
Learn more
Frequently asked questions
How much does Gemini Omni 1.1 Flash cost?
$1.5 per million input tokens and $9 per million output tokens on OpenRouter (checked November 8, 2026). A task with 2,000 tokens read and 500 written costs $0.0075.
How big is Gemini Omni 1.1 Flash's context window?
131,072 tokens, roughly 98,000 words, with a maximum of 65,536 output tokens.
Can Gemini Omni 1.1 Flash run locally?
No, Google does not publish its weights: it is API-only.
Is Gemini Omni 1.1 Flash suitable for an AI agent?
No: without tool calling it cannot act, only answer.
What are the alternatives to Gemini Omni 1.1 Flash?
The closest models on price and performance are Mistral Large 2407, Aion-3.0, and o3.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score