Model · Google
Gemini 4 Argon pricing: real cost per million tokens
What Google's Gemini 4 Argon 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 2026-10-16, the cheapest way to use Gemini 4 Argon is Google AI Pro at a real cost of about $0.3029 per million tokens ($19.99/month for roughly 0.066B tokens a month). We track 1 plan and API channels that serve Gemini 4 Argon.
- Lowest real price
- $0.3029/MTokGoogle AI Pro
- API list price
- —
- Most monthly tokens
- 0.066BGoogle AI Pro
- Plans & APIs
- 11 subscription · 0 metered APIs
Plot Gemini 4 Argon on the price–capability chart
Gemini 4 Argon 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 | 0.066B | $0.3029 | — | Low | 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$0.302879/MTok
- Plan
- Google AI Pro · Google
- Data date
- 2026-10-16 · sampled
- Real price / MTok
- $0.302879
- Monthly tokens
- 66,000,000 (0.066B)
- Quota confidence
- Low
- Calculation
- $19.99 / month ÷ 66,000,000 tokens × 1,000,000 ≈ $0.302879 / MTok
- Quota basis
Low-cache workload: 85% cache reads / 14.5% input / 0.5% output
Adoption evidence · source and rationale (translated from the Chinese record)
X @leo114119 tweet screenshot (provided by the maintainer): third-party gateway panel shows Gemini 4 Argon 7d used 15.1%, gateway stats 23 calls (input 109K / output 75.1K incl. 28K reasoning / cache read 955K, 90% hit rate); gemini-argon-round1-2026-10-16.json
New 66M: first adopted point for Gemini 4 Argon (low-cache tier). Segment worth $1.0645 (cache 0.955M×$0.10 + input 0.109M×$2 + output 0.0751M×$10; intro price until 2026-11-30, then $0.2/$4/$20, review needed; output includes thinking, matching the panel's "reasoning counts as output") /15.1pp = $0.0705/pp; weekly worth $7.05 ×4 weeks / low-cache blended price $0.425/MTok. An official forum reply on 2026-10-15 confirms Argon is a separate weekly-only Pro pool (no 5h bar), not merged with the Gemini 3.8 Flash pool; all other pools on the panel are 0%, so attributing the 23 calls to Argon is an inference. The poster's ~$10/week reverse estimate is a rounded upper bound — if the 28K reasoning counts on top of output, weekly $8.90 (84M). Raw-total figure 30M and standard-tier figure 143M kept for comparison, not adopted; the weekly worth here is ~1/17 of the sibling Gemini shared pool's $123.42, consistent with "pitifully small". 15.1pp sample, single tweet, third-party gateway panel → low; await a second sample. Evidence: gemini-argon-round1-2026-10-16.json.
gemini-argon-round1-2026-10-16.jsonBrowse the public evidence archive
More Google models
| Model | Lowest real $/MTok | Cheapest plan | Plans |
|---|---|---|---|
| Gemini 3.8 Flash | $0.00387 | Google AI Ultra 20x | 5 |
| Gemini 3.6 Flash | $0.00803 | Google AI Pro | 1 |
| Gemini 3.7 Flash | $0.01485 | Droid Max | 2 |
| Gemini 4 Argon Contributor | $0.1314 | OpenCode Go | 1 |