Gemini 3.6 Flash API
NewLLMGemini 3.6 Flash is an earlier Flash snapshot published at the same 1M context, capabilities, and rate as the rest of the 3.x line.
- Input · USD / 1M tokens$0.45 USDOfficial price
$0.75 USD - Output · USD / 1M tokens$2.25 USDOfficial price
$3.75 USD - Savings40%
- Context1M
- View tool pricing and billing rules
What are we making today?
Bring an idea, a question, or a first draft.
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What this model is for
Gemini 3.6 Flash is an earlier Flash snapshot published at the same 1M context, capabilities, and rate as the rest of the 3.x line.
Gemini 3.6 Flash is an earlier Flash snapshot from Google's Gemini 3.x line, still callable through OmniaKey under the id gemini-3.6-flash. Google introduced it on July 21, 2026 in the same post that presented Gemini 3.5 Flash-Lite and Gemini 3.5 Flash Cyber, and that post is also where Google first named the Gemini 4 pre-training run. The catalog gives it a 1M-token context window, image input, tool use, the fast label, three coding clients, and the same rate triple as the two later Flash snapshots.
So the honest description is narrow: a working model with no listed cost advantage and a place behind the current mainline. Two situations justify calling it. The first is a recorded evaluation whose answers were produced on this id and would stop being comparable on another. The second is a client or a script pinned to the string, where a swap is a change of behaviour that nobody has tested. Everything else belongs on Gemini 3.8 Flash, or on Gemini 4 Argon when a task outgrows the Flash tier.
The catalog entry is also modest in what it states. It lists capabilities, a context figure, a client set and rates, and it does not carry per-version limits, thinking controls or a retirement date. Anyone inheriting settings from a neighbouring snapshot should confirm them on Google's pages and then run the prompts that matter. Where the answers still hold, the older id is fine; where they do not, the version number was never the thing that decided quality.
Best-fit coding workloads
Re-scoring a stored eval set
Re-run the exact prompts from an evaluation that was scored on this id, so an old report and a new one can be read side by side. Anything else changes two things at once and explains neither. Practical tip: freeze the prompt text, the parameters and the scoring script in one folder per evaluation round.
Shadow run beside mainline
Copy a slice of live production prompts to this id while the mainline answers the real users, then compare the two answer sets offline. It shows what a version change would alter before anything ships. Practical tip: keep the shadow traffic read-only and label every row with the id that produced it.
Moderation pass with a fixed id
Screen user-written listings against a policy prompt that was tuned on this snapshot, and keep the same id so weekly agreement figures stay comparable. A stable version makes reviewer disputes easier to settle. Practical tip: sample borderline items for a human each week and record the disagreements with the exact prompt used.
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Technical specification
Catalog facts and integration details verified for this route.
- Model ID
- gemini-3.6-flash
- Context
- 1M
- Inputs and tools
- Vision · Tool use · Fast responses
- API endpoint
- /v1/chat/completions
- Cache hit / 1M
- $0.045 USD
- Coding clients
- Cursor · Cline · Aider
Limits to plan around
- The listed input, output and cached-input rates match Gemini 3.7 Flash and Gemini 3.8 Flash, so choosing this snapshot saves nothing on the bill. A cheaper Gemini id exists further down the catalog.
- Only catalog-level facts are attached to this entry: capabilities, a 1M context figure, clients and rates. Token ceilings, thinking controls and caching behaviour are published for the 3.8 model, not here, so confirm them before adopting those settings.
- The catalog carries no retirement date for this id. Treat availability as something to check rather than assume, and keep a fallback id in configuration in case a request starts failing.
- Comparability has a cost: keeping an old snapshot means keeping its quirks. If a newer snapshot answers your task better, the older one is a liability dressed as stability.
03
Compare nearby models
Compare workload fit and current listed token rates before choosing a route.
| Model | Best for | Context | Input | Output |
|---|---|---|---|---|
| Gemini 3.6 FlashThis page gemini-3.6-flash | Reproducing evaluations recorded on this snapshot, or shadow-running traffic against a fixed older id. | 1M | $0.45 USD Official price $0.75 USD | $2.25 USD Official price $3.75 USD |
| Gemini 3.7 Flash gemini-3.7-flash | One Flash snapshot newer, with the same rates and capabilities, for a shorter jump from this baseline. | 1M | $0.45 USD Official price $0.75 USD | $2.25 USD Official price $3.75 USD |
| Gemini 3.8 Flash gemini-3.8-flash | The current mainline Flash entry, and the default for any new Flash-tier work. | 1M | $0.45 USD Official price $0.75 USD | $2.25 USD Official price $3.75 USD |
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SDK quickstarts
Use one base URL and model ID from cURL, Python, or TypeScript.
curl https://api.omniakey.com/v1/chat/completions \
-H "Authorization: Bearer $OMNIAKEY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "gemini-3.6-flash",
"messages": [
{"role": "user", "content": "Review this pull request"}
],
"stream": true
}'05
Estimate token cost
Enter expected input and output tokens to compare current listed rates.
- OmniaKey estimate
- $0.09
- Official-rate estimate
- $0.15
- Estimated savings
- $0.06
Estimate covers input and output tokens only. Cache usage, retries, tools, and client-side token accounting can change the final charge.
06
Related coding guides
Deeper selection, setup, and troubleshooting guidance for this model family.
Gemini 4 Release Date: Confirmed, Not Released
The Gemini 4 release date came in stages: Google announced Gemini 4 Argon on September 30, 2026 and opened it to paid API developers on October 13, 2026, then announced Gemini 4 Carbon on October 28, 2026 with no developer date yet.
Read guideGemini 3.8 Flash API Pricing and Agent Cost
Google's introductory rate is $0.75 input and $3.75 output per million tokens, but retries and thinking decide the cost of an accepted result.
Read guide07
Sources and verification
Model facts and links were checked on 2026-10-27. Provider documentation remains the authority for upstream behavior.
Frequently asked questions
How much does Gemini 3.6 Flash cost on OmniaKey?
OmniaKey charges $0.45 USD per 1M input tokens and $2.25 USD per 1M output tokens, in USD. Official prices are $0.75 USD and $3.75 USD; you save 40%.
What is the context window for Gemini 3.6 Flash?
The listed context window is 1M. Actual usable limits can also depend on the client and upstream request format.
What is Gemini 3.6 Flash?
It is an earlier Flash snapshot in Google's Gemini 3.x line, announced on July 21, 2026 alongside Gemini 3.5 Flash-Lite and Gemini 3.5 Flash Cyber. OmniaKey lists it with a 1M-token context window, image input, tool use and three coding clients, at the same catalog rates as the later Flash snapshots.
How is it different from Gemini 3.7 Flash and 3.8 Flash?
By version, not by listed capability. All three carry a 1M window, image input, tool use, the fast label and the same rate triple, so the catalog gives no cost or feature reason to prefer this one. It is the oldest of the three, which makes it the natural choice only when an existing result set was built on it.
How do I call Gemini 3.6 Flash through OmniaKey?
Send a POST to https://api.omniakey.com/v1/chat/completions with gemini-3.6-flash in the model field. The body is OpenAI-compatible, so image parts and tool definitions travel in the messages array. The id is case-sensitive and the dot is required, and one key works across the listed models.
Is Gemini 3.6 Flash cheaper than the newer Flash models?
No. The catalog lists the same input, output and cached-input rates as Gemini 3.7 Flash and Gemini 3.8 Flash. Gemini 3.5 Flash-Lite, Gemini 2.5 Flash and Gemini 2.5 Flash-Lite sit at lower tiers if the bill is the deciding factor. Current figures are in the price table on the model page.
When should a team still call this snapshot?
When a published result, a tuned policy prompt or a pinned client depends on answers this id produced, and nobody has replayed the tests elsewhere yet. In that case keep it, label the runs with the id, and plan a migration with a fixed prompt set rather than a single sample answer.