Gemini Omni 1.2 Flash API pricing
Google · Mid-range price tier · Proprietary · released 2026-11. Prices in USD per 1 million tokens. Data snapshot: 2026-11-12.
A support ticket workload of 100K requests a month costs $675.00 on Gemini Omni 1.2 Flash; the next cheaper model in the Mid-range price tier for this workload, Qwen3.8 2.4T A95B, does it for $600.00. Gemini Omni 1.2 Flash has held the same list price since 2026-11-06 and is the 81st cheapest of 113 models in the Mid-range price tier. Only one host, Google AI Studio, sells it, so there is no second price to shop. No Arena score is published for it, so it carries no Efficiency score and cannot hold the FinOps Friendly badge.
- Input: $1.50 per 1M tokens
- Output: $9.00 per 1M tokens
- Batch API (in/out): Not published
- Prompt-cache read: Not published
- Context window: 131K tokens
- Arena ELO: Not published
Market position
On blended price ($6.75 per 1M tokens at 30% input, 70% output) it is cheaper than 27% of models in the Mid-range price tier: 81st cheapest of 113, tied with 2 others. Across every price tier it is cheaper than 20% of priced text models in the catalogue: 241st cheapest of 303, tied with 2 others. No Arena score has been published for Gemini Omni 1.2 Flash, so this page does not rank it on quality and OptimNow's quality bars do not apply to it. 66 of the 113 models we list in the Mid-range price tier carry one. An unranked model is unmeasured, not poor: the benchmark needs votes, and a recent release has not had time to collect them.
Licence, size and capabilities
Gemini Omni 1.2 Flash is recorded here as proprietary: access is through an API, priced by the token. Its parameter count is not published. Listed capabilities: Text, Vision, Reasoning. Filling its 131K context window once costs $0.1965 in input tokens at list price.
Pricing by host
A host is a company that runs the model and sells it by the token: the model maker, a cloud platform like Amazon Bedrock, Azure or Vertex, or an independent host. One model, several hosts, and often several prices. This model is sold by 1 host. The price we quote elsewhere on this page is marked. We quote one host's rate so that models stay comparable; it is not a recommendation to buy there.
Google AI Studio is the only host with a published rate, $1.50 input / $9.00 output per 1M tokens, which is the price we quote.
| Host | Input $/1M | Output $/1M |
|---|---|---|
| Google AI Studio (model maker, price we quote) | $1.50 | $9.00 |
List prices as published on 2026-11-12, via OpenRouter. Negotiated rates, committed-use discounts and provisioned capacity are not shown.
Monthly cost at 100K requests, by business use case
From the after-discounts figure (prompt caching on the cached input share, batch API for async workloads, only where Google publishes those rates), which assumes you implement both, to the list price. One figure means no discount is published.
| Use case | Tokens (in/out) | Monthly (after discounts – list) |
|---|---|---|
| Support Ticket | 1,500 / 500 | $675 |
| Knowledge Q&A | 2,000 / 800 | $1.0K |
| Meeting Summary | 10,000 / 1,200 | $2.6K |
| Marketing Content | 2,500 / 1,800 | $2.0K |
| Coding Task | 3,000 / 2,000 | $2.3K |
| Invoice Processing | 1,500 / 600 | $765 |
| Call Summary | 2,000 / 700 | $930 |
| Agent Workflow | 6,000 / 3,000 | $3.6K |
Price history
Gemini Omni 1.2 Flash entered our daily price archive on 2026-11-06; tracking began on 2026-08-15. It listed at $1.50 input / $9.00 output per 1M tokens that day. No list price change since 2026-11-06. Last checked against the 2026-11-12 snapshot.
Alternatives to Gemini Omni 1.2 Flash
Gemini Omni 1.2 Flash carries no Arena score, so this page cannot place it against models of comparable quality. The alternatives below are its nearest neighbours on price in the Mid-range price tier.
- Next cheaper model in the Mid-range price tier: GPT-4.1 (OpenAI) at $6.20 blended, 8% less.
- Next more expensive: GLM 5.3 Prime (Zhipu) at $7.00 blended, 4% more.
Other models from Google
The 8 nearest to Gemini Omni 1.2 Flash in price, of 27 other Google models in the catalogue. Prices per 1M tokens, input then output.
- Gemini 3.8 Flash: $0.75 / $3.75
- Nano Banana 2.1: $1.50 / $7.50
- Gemini 3.5 Flash: $1.50 / $9.00
- Gemini Omni 1.1 Flash: $1.50 / $9.00
- Gemini 2.5 Pro: $1.25 / $10.00
- Gemini 2.5 Pro Preview: $1.25 / $10.00
- Gemini 4 Argon: $2.00 / $10.00
- Gemini 4 Carbon: $2.00 / $10.00
All 28 Google models and prices
Common questions about Gemini Omni 1.2 Flash pricing
- How much does Gemini Omni 1.2 Flash cost?
- Gemini Omni 1.2 Flash costs $1.50 per 1M input tokens and $9.00 per 1M output tokens. That is the model maker's own rate (Google AI Studio). Prices as listed on 2026-11-12.
- Which host is cheapest for Gemini Omni 1.2 Flash?
- Google AI Studio is the only host with a published rate, $1.50 input / $9.00 output per 1M tokens, which is the price we quote. Host rates as listed on 2026-11-12.
- Does Gemini Omni 1.2 Flash offer batch or cached pricing?
- No. Neither a batch rate nor a prompt-cache rate is published for Gemini Omni 1.2 Flash as of 2026-11-12.
- What would Gemini Omni 1.2 Flash cost per month?
- With the Support Ticket profile (1,500 input and 500 output tokens per request), 100,000 requests a month cost about $675 on Gemini Omni 1.2 Flash at the list price quoted on 2026-11-12.
- Can Gemini Omni 1.2 Flash be self-hosted?
- No, as far as this site records. Gemini Omni 1.2 Flash is recorded here as proprietary: access is through an API, priced by the token.
- Has the price of Gemini Omni 1.2 Flash changed?
- Gemini Omni 1.2 Flash entered our daily price archive on 2026-11-06; tracking began on 2026-08-15. It listed at $1.50 input / $9.00 output per 1M tokens that day. No list price change since 2026-11-06. Last checked against the 2026-11-12 snapshot.
It exposes a thinking budget, so its output volume is what the bill turns on: what thinking models charge for output.
These are list prices. Your real cost also depends on caching and batching, negotiated discounts, marketplace agreements, and the contracts you already have. OptimNow audits exactly that.
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