Gemini 3 is Google's flagship model family — Gemini 3 Pro, Gemini 3.1 Pro and Gemini 3 Flash — natively multimodal, 1M+ token context, chain-of-thought reasoning. This guide covers what the Gemini 3 API costs at Google's list, its status on Kunavo, and how to run the same workloads today on Gemini 2.5 through one OpenAI-compatible endpoint.
gemini-3-6-flash, at $1.05 / $5.25 per 1M — roughly 30% under Google's list. The Pro tiers are not: gemini-3-pro and gemini-3-1-pro are reserved in the catalog but stay disabled, because the upstream sources we've tested don't meet our reliability bar — persistent 503s and broken parameter handling (one source ignores maxOutputTokens entirely). We list a model only when we can serve it dependably and below official list. Gemini 2.5 Pro and Gemini 2.5 Flash also remain live on the same endpoint.Gemini 3 API pricing
Google's official list rates for the family, next to the live Gemini 2.5 rates on Kunavo (about 70% under Google's 2.5 list):
| Model | Input / 1M | Output / 1M | Status on Kunavo |
|---|---|---|---|
| Gemini 3 Pro (Google list, ≤200k ctx) | $2.00 | $12.00 | Reserved — not enabled |
| Gemini 3.1 Pro (Google list) | $2.00 | $12.00 | Reserved — not enabled |
| Gemini 3 Flash (Google list) | $0.50 | $3.00 | Reserved — not enabled |
| Gemini 3.6 Flash on Kunavo — newest | $1.05 | $5.25 | Live (Google list $1.50 / $7.50) |
| Gemini 2.5 Pro on Kunavo | $0.375 | $3.00 | Live |
| Gemini 2.5 Flash on Kunavo | $0.09 | $0.75 | Live |
Full 2.5-family rates and worked cost examples are in the Gemini API pricing guide.
Gemini 3.6 Flash — what changed
Gemini 3.6 Flash is the newest member of the family and the one worth understanding before you budget for it. Google lists it at $1.50 input / $7.50 output per 1M tokens — the same input price as Gemini 3.5 Flash with output cut about 17% — and pitches it at long-horizon agent work, where it claims to cut token cost substantially on multi-step engineering tasks.
The number that actually decides your bill is not on the price list: 3.6 Flash thinks by default, and the thinking dominates the output meter. In our testing a one-sentence factual answer spent roughly 120–140 reasoning tokens to produce 7 visible output tokens. Reasoning tokens bill at the output rate, so the honest cost of a short 3.6 Flash answer is closer to 150 output tokens than to 7 — roughly 20× the naive estimate. Two practical consequences:
- Do not set a small
max_tokens. Anything under ~150 gets consumed by reasoning before the model emits an answer, and you receive a truncated fragment while still paying for the thinking. - Budget on reasoning, not on visible output. For short, high-volume calls a non-thinking Flash tier is usually cheaper in practice, even at a higher sticker price per token.
Gemini 3.6 Flash is live on Kunavo at $1.05 / $5.25 per 1M — about 30% under Google's $1.50 / $7.50 list, on the same OpenAI-compatible endpoint as everything else, with no Google Cloud project required. It is the first Gemini 3 model we can serve; the Pro tiers remain unavailable. Call it as gemini-3-6-flash.
Call Gemini on Kunavo today
Kunavo fronts Gemini behind the OpenAI-compatible /v1/chat/completions endpoint — keep the OpenAI SDK, change base_url, no Google Cloud project:
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["KUNAVO_API_KEY"],
base_url="https://api.kunavo.com/v1",
)
# Gemini 3.6 Flash is live. Mind the max_tokens: 3.6 Flash reasons by default
# and reasoning bills as output, so a small cap gets spent thinking and returns
# a truncated answer.
resp = client.chat.completions.create(
model="gemini-3-6-flash",
max_tokens=1024,
messages=[{"role": "user", "content": "Summarize this contract in 5 bullets."}],
)
print(resp.choices[0].message.content)Getting a key takes a minute — see the Gemini API key guide. The same sk-kn- key also reaches Claude, GPT, Nano Banana image and Veo 3 video.
Gemini 3 vs Gemini 2.5 — should you wait?
- Long-context and reasoning workloads — Gemini 2.5 Pro already carries 1M-token context and strong chain-of-thought; it's the pragmatic default while 3 stabilizes.
- High-volume, latency-sensitive calls — Gemini 2.5 Flash at $0.09 in / $0.75 out is the cost-efficiency play; Gemini 3 Flash will slot into the same tier.
- Building for the upgrade — code against the OpenAI-compatible shape and treat the model string as config; the Gemini 3 slugs land behind the same endpoint.
FAQ
What is the Gemini 3 API?
Google's flagship family (3 Pro, 3.1 Pro, 3 Flash, 3.6 Flash) — natively multimodal, 1M+ context, chain-of-thought — callable via Google AI Studio / Vertex AI, or via gateways once served.
Can I use it on Kunavo today?
Gemini 3.6 Flash, yes — gemini-3-6-flash is live at $1.05 / $5.25. The Pro tiers are not: those slugs stay reserved until a source passes our reliability bar. Gemini 2.5 Pro / Flash remain available on the same endpoint.
How much does the Gemini 3 API cost?
Google's list: $2 / $12 per 1M tokens for Pro tiers (≤200k context), $0.50 / $3 for Flash, $1.50 / $7.50 for Gemini 3.6 Flash. On Kunavo, 3.6 Flash is $1.05 / $5.25 (~30% off) and Gemini 2.5 runs ~70% under list.
How much does the Gemini 3.6 Flash API cost?
$1.50 input / $7.50 output per 1M on Google's list — same input as 3.5 Flash, output ~17% cheaper. On Kunavo it is $1.05 / $5.25, about 30% under list. Watch the hidden side: 3.6 Flash reasons by default and reasoning bills at the output rate, so a one-sentence answer that shows 7 output tokens can spend 120–140 reasoning tokens behind it. Budget on reasoning, and keep max_tokens above ~150 or the response truncates before an answer appears.
How do I get a Gemini 3 API key?
Google AI Studio for a direct key, or one Kunavo key that covers Gemini 2.5 today and Gemini 3 when enabled — see the key guide.