Gemini 3.6 Flash pricing: real cost per million tokens
What Google's Gemini 3.6 Flash really costs across 1 plan from 1 provider: monthly fees, usable allowances and real per-token prices, against the official API list price and independent leaderboards.
Data updated · How real prices are computed
As of 2026-10-08, the cheapest way to use Gemini 3.6 Flash is Google AI Pro at a real cost of about $0.00803 per million tokens ($19.99/month for roughly 2.489B tokens a month). We track 1 plan and API channels that serve Gemini 3.6 Flash.
- Lowest real price
- $0.00803/MTokGoogle AI Pro
- API list price
- —
- Most monthly tokens
- 2.489BGoogle AI Pro
- Plans & APIs
- 11 subscription · 0 metered APIs
Plot Gemini 3.6 Flash on the price–capability chart →
Gemini 3.6 Flash plans and real prices
Real price = monthly fee ÷ tokens you can actually use in a month. “vs API” shows how many times cheaper than the official API list price (standard workload mix) the plan is. “Evidence” opens the full calculation and sources for that row.
| Plan | Provider | Billing | Monthly fee | Monthly tokens | Real $/MTok | vs API | Confidence | Data date | |
|---|---|---|---|---|---|---|---|---|---|
| Google AI Pro | Subscription | $19.99/mo | 2.489B | $0.00803 | — | Medium | Evidence ↓ |
Behind each number
For every plan: the data date, the exact calculation, the quota basis, how leaderboard scores were mapped, and the original adoption evidence with its sources.
Google AI ProGoogle$0.00803134/MTok
- Plan
- Google AI Pro · Google
- Data date
- 2026-09-13 – 2026-09-27 · sampled
- Real price / MTok
- $0.00803134
- Monthly tokens
- 2,489,000,000 (2.489B)
- Quota confidence
- Medium
- Calculation
- $19.99 / month ÷ 2,489,000,000 tokens × 1,000,000 ≈ $0.00803134 / MTok
- Quota basis
Low-cache workload: 85% cache reads / 14.5% input / 0.5% output
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (1 configuration)
Terminal-Bench 4.0 (AA): Low (1 configuration)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
DeepSWE v1.1: Low (1 configuration)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
issue #55 (NTRYourWaifu): agy CLI polling the weekly-quota % every 5 minutes, counting only segments where 3.6 Flash is ≥95%: 95.60M raw = +21.70pp of the week; community-issues-round1-2026-09-29.json; workload-conversion-round1-2026-09-30.json
1.762B→2.489B (2026-09-30 decision: uniform workload-normalization for measured samples with token breakdown, low-cache tier): #55 segment worth $25.824 (cache 78.32M×$0.075 + in 14.95M×$0.75 + out 2.33M×$3.75) ÷21.70pp = $1.19005/pp → $119.0/week ×4 weeks ÷ low-cache $0.19125/MTok; the raw-basis 17.62 is kept for comparison. Original 2026-09-29 adoption decision (raw basis) — new 1.762B, 2026-09-29 decision: issue #55 (agy CLI, same method as #54, only segments where 3.6 Flash exceeds 95%) 95.60M raw = +21.70 weekly percentage points ×100×4 weeks, 84.0% cache hit. About $1.19 list dollars per 1%, the same as 3.8 Flash — supporting a shared value-priced quota pool across Google AI Pro models. A single sample of only 21.7 percentage points from one contributor → medium. Ultra not derived. Evidence: community-issues-round1-2026-09-29.json.
community-issues-round1-2026-09-29.jsonworkload-conversion-round1-2026-09-30.jsonBrowse the public evidence archive
Gemini 3.6 Flash benchmark scores
Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.
| Leaderboard | Metric | Score | Rank | Configuration | Effort | Harness | Configs | Snapshot |
|---|---|---|---|---|---|---|---|---|
| Artificial Analysis Intelligence Index v4.3 | Intelligence Index | 33.98 | #35 / 60 | Gemini 3.6 Flash (high) | High | — | 1 | 2026-10-01 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 7.07 | #34 / 53 | Artificial Analysis - Gemini 3.6 Flash (high) | High | Artificial Analysis | 1 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,536 | #32 / 54 | gemini-3.6-flash-high | High | — | 1 | 2026-09-30 |
| Agent Arena · Overall (Ranking / Pareto) | Net Improvement % | -7.67 | #36 / 39 | Gemini 3.6 Flash (High) | High | — | 1 | 2026-09-30 |
| DeepSWE v1.1 | Pass@1 % | 46.68 | #27 / 33 | mini-swe-agent - gemini-3-6-flash (high) | High | mini-swe-agent | 1 | 2026-09-03 |
Every archived configuration
Artificial Analysis Intelligence Index v4.3 1 configuration
Terminal-Bench 4.0 (AA) 1 configuration
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Artificial Analysis - Gemini 3.6 Flash (high)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board. | 7.0707 | — | Artificial Analysis / High / — | — / — | 2026-10-01 | Source · Archive |
Code Arena | WebDev Overall 1 configuration
Agent Arena · Overall (Ranking / Pareto) 1 configuration
DeepSWE v1.1 1 configuration
These are reference mappings, not benchmarks of a subscription or API channel. Harness and quota-measurement effort alignment are unverified. Source task costs are not subscription task costs.
- Exact served-model reference; quota-measurement effort is unverified.
- Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.
Frequently asked questions
How much does Gemini 3.6 Flash really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, Gemini 3.6 Flash ranges from $0.00803 (Google AI Pro) to $0.00803 (Google AI Pro) per million tokens.
Which subscription gives the most Gemini 3.6 Flash usage?
Google AI Pro allows roughly 2.489B tokens of Gemini 3.6 Flash per month for $19.99.
How does Gemini 3.6 Flash score on independent leaderboards?
Gemini 3.6 Flash has scores on 5 leaderboards; its strongest placement is 33.98 (Intelligence Index) on Artificial Analysis Intelligence Index v4.3, #35 of 60 models tracked.
Who makes Gemini 3.6 Flash, and where can I use it?
Gemini 3.6 Flash (model ID gemini-3.6-flash) is made by Google and is available through Google.
More Google models
| Model | Lowest real $/MTok | Cheapest plan | Plans |
|---|---|---|---|
| Gemini 3.8 Flash | $0.00387 | Google AI Ultra 20x | 5 |
| Gemini 3.7 Flash | $0.01485 | Droid Max | 2 |