GVGanivra

API price comparison · Updated

Gemini 4 Argon vs Gemini 3.8 Flash pricing

Quick answer

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens; Gemini 3.8 Flash costs $0.75 and $3.75. For an agent task (80,000 input tokens, 60,000 of them cached, and 6,000 output), Gemini 4 Argon costs $0.106 and Gemini 3.8 Flash $0.042: Gemini 4 Argon costs 2.5× as much. Gemini 4 Argon's price changes on Dec 1, 2026 to $4.00 input and $20.00 output per million tokens. Gemini 3.8 Flash's price changes on Jan 1, 2027 to $1.50 input and $7.50 output per million tokens.

Compare your monthly cost on Gemini 4 Argon and Gemini 3.8 Flash

Estimated monthly cost
Gemini 4 Argon$1,100$0.011 per request
Gemini 3.8 Flash$413$0.0041 per request

Gemini 3.8 Flash costs 63% less for this workload. Excludes cache writes, tools and taxes.

Gemini 4 Argon vs Gemini 3.8 Flash prices per million tokens

PriceGemini 4 ArgonGemini 3.8 Flash
Model IDgemini-4-argongemini-3.8-flash
Input$2.00$0.75
Cache read$0.10$0.075
Cache writeStorage billed per hourStorage billed per hour
Output$10.00$3.75
Batch in / out$1.00 / $5.00$0.375 / $1.875
Long promptsSame rateSame rate
Scheduled changeFrom Dec 1, 2026: $4.00 / $20.00From Jan 1, 2027: $1.50 / $7.50
StatusPaid tier onlyAvailable

Prices for each provider’s own API, from Google Gemini’s pricing page. The lower price in each row is highlighted. Ganivra uses these same rates to price Gemini 4 Argon and Gemini 3.8 Flash calls.

What one request costs on Gemini 4 Argon and Gemini 3.8 Flash

Worked out from the prices above at standard rates, with no Batch discount. Long-prompt rates apply where a model has them.

RequestGemini 4 ArgonGemini 3.8 FlashPer 1,000 requestsDifference
Chat reply3,000 input tokens, 500 output$0.011$0.0041$11.00 / $4.13Gemini 4 Argon costs 2.7× as much
Document summary30,000 input tokens, 1,500 output$0.075$0.028$75.00 / $28.13Gemini 4 Argon costs 2.7× as much
Agent task80,000 input tokens (60,000 cached), 6,000 output$0.106$0.042$106 / $42.00Gemini 4 Argon costs 2.5× as much
Long document300,000 input tokens, 2,000 output$0.620$0.233$620 / $233Gemini 4 Argon costs 2.7× as much

What changes which one costs less

Prompt caching
Cache reads cost $0.10 per million, 5% of the input price on Gemini 4 Argon, and $0.075 per million, 10% of the input price on Gemini 3.8 Flash. The more of each prompt you reuse, the more this decides the bill.
Cache writes
Gemini 4 Argon charges no write fee; Gemini bills cache storage per million tokens per hour. Gemini 3.8 Flash charges no write fee; Gemini bills cache storage per million tokens per hour.
Long prompts
On Gemini 4 Argon, one rate at any prompt length. On Gemini 3.8 Flash, one rate at any prompt length. A 300 prompt costs $0.620 on Gemini 4 Argon and $0.233 on Gemini 3.8 Flash.
Batch API
Gemini 4 Argon costs 50% less through the Batch API: $1.00 input and $5.00 output. Gemini 3.8 Flash costs 50% less through the Batch API: $0.375 input and $1.875 output.
Price change on Dec 1, 2026
Gemini 4 Argon goes from $2.00 input and $10.00 output to $4.00 input and $20.00 output per million tokens. Calls before then keep the old price; the agent task goes from $0.106 to $0.212.
Price change on Jan 1, 2027
Gemini 3.8 Flash goes from $0.75 input and $3.75 output to $1.50 input and $7.50 output per million tokens. Calls before then keep the old price; the agent task goes from $0.042 to $0.084.
Gemini 4 Argon availability
Paid tier only.
Quality and retries
Price is half the decision. A cheaper model that needs more retries, longer prompts or a human fix can cost more per finished task.

Compare them on your own customers, not a sample request.

Ganivra prices every Gemini 4 Argon and Gemini 3.8 Flash call you make and adds it up by customer, feature and workflow, next to what each customer pays. Switch a workflow and see what it did to each customer’s margin.

Start free 14-day trial

Gemini 4 Argon vs Gemini 3.8 Flash pricing questions

Is Gemini 4 Argon cheaper than Gemini 3.8 Flash?

Per million tokens, Gemini 4 Argon costs $2.00 input and $10.00 output, and Gemini 3.8 Flash $0.75 input and $3.75 output. For an agent task (80,000 input tokens, 60,000 of them cached, and 6,000 output), Gemini 4 Argon costs 2.5× as much: $106 against $42.00 per 1,000 tasks.

How much does Gemini 4 Argon cost per million tokens?

$2.00 input and $10.00 output per million tokens on Google Gemini's API, with cached input at $0.10 and Batch at $1.00 input and $5.00 output. The rate is the same at any prompt length.

How much does Gemini 3.8 Flash cost per million tokens?

$0.75 input and $3.75 output per million tokens on Google Gemini's API, with cached input at $0.075 and Batch at $0.375 input and $1.875 output. The rate is the same at any prompt length.

Which is cheaper for long prompts, Gemini 4 Argon or Gemini 3.8 Flash?

For a 300,000 input tokens, 2,000 output request, Gemini 4 Argon costs $0.620 and Gemini 3.8 Flash $0.233: Gemini 4 Argon costs 2.7× as much. On Gemini 4 Argon, one rate at any prompt length; on Gemini 3.8 Flash, one rate at any prompt length.

Is Gemini 4 Argon getting more expensive?

Yes. On Dec 1, 2026, Gemini 4 Argon goes from $2.00 input and $10.00 output to $4.00 input and $20.00 output per million tokens. After the change, the agent task costs $0.212 on Gemini 4 Argon against $0.042 on Gemini 3.8 Flash.

Is Gemini 3.8 Flash getting more expensive?

Yes. On Jan 1, 2027, Gemini 3.8 Flash goes from $0.75 input and $3.75 output to $1.50 input and $7.50 output per million tokens. After the change, the agent task costs $0.084 on Gemini 3.8 Flash against $0.106 on Gemini 4 Argon.

How do I compare Gemini 4 Argon and Gemini 3.8 Flash on my own traffic?

Record what each call actually used, then price the same usage on both models. Ganivra does this from your recorded calls: it shows what each customer, feature and workflow would cost on Gemini 4 Argon and on Gemini 3.8 Flash, next to what each customer pays you.

Every model on one page: Gemini 4 Argon pricing · Gemini 3.8 Flash pricing · all model price comparisons · all supported models.