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CostPerPrompt

Gemini 4 Argon API Pricing

Google · context window 1M · prices updated 2026-10-14

Input per 1M tokens
$2.00
Output per 1M tokens
$10.00
Cached input per 1M
$0.1
95% cheaper than fresh input

Where Gemini 4 Argon sits on price

At $10.00 per million output tokens, Gemini 4 Argon is a premium tier model — 4.5× the median output price of $2.20, which puts it cheaper than 24% and pricier than 76% of the models we track. It sits 34th cheapest of the 40 Google models we track. Output costs 5.0× input, the usual spread — trim both, starting with the answer length.

Output tokens per $1
100,000
One full context fill
$2.10
Cheaper than
24% of tracked models

Cached input is 95% cheaper. On an input-heavy workload you need roughly a 26% cache-hit rate to take 25% off the input line — reachable for chatbots and agents that resend the same system prompt and history.

What real workloads cost on Gemini 4 Argon

These three workloads are the ones teams actually run on a premium-priced model — a $10.00/1M model is not bought for the same job as one ten times the price.

Workload Per request Per month
Support chatbot — 500 conversations/day (5K in / 1.4K out) Conversation history re-sent each turn — the classic prompt-caching win. $0.024 $360
Coding agent — 300 sessions/day (60K in / 12K out) Multi-step loops re-read the same files; caching matters more than raw price. $0.24 $2160
Long-context analysis — 200 runs/day (250K in / 4K out) Only possible on large-context models; input cost is nearly the whole bill. $0.54 $3240

Model your exact traffic in the API cost calculator — it preloads Gemini 4 Argon with caching and batch options.

Gemini 4 Argon price history

Gemini 4 Argon's price has not moved since we began tracking it on Oct 14, 2026 — 0 days of stability in a market where 93 of the 364 models we track have repriced over the same period, including 6 of Google's own 40 models.

Change-points from our daily price snapshots (tracking since Oct 14, 2026; intraday moves between snapshots are not captured).

Gemini 4 Argon vs Claude Sonnet 5.5

The closest-priced alternative from another vendor is Claude Sonnet 5.5 (Anthropic) — priced within a rounding error on output, with identical input pricing. When two models land this close on price, the decision is quality on your own workload, not the price sheet: run 50 real requests through both and compare.

See Claude Sonnet 5.5 pricing →

Cheaper alternatives

More Google models

Frequently asked questions

› How much does the Gemini 4 Argon API cost?

Gemini 4 Argon costs $2.00 per million input tokens and $10.00 per million output tokens, with cached input at $0.1 per million (95% cheaper). That works out to roughly 100,000 output tokens per dollar.

› What does the support chatbot workload cost on Gemini 4 Argon?

Support chatbot — 500 conversations/day (5K in / 1.4K out) costs about $0.024 per request and $360 per month on Gemini 4 Argon. Conversation history re-sent each turn — the classic prompt-caching win.

› What does it cost to fill Gemini 4 Argon's 1M context window?

Sending 1M of input in a single request costs $2.10 at $2.00 per million tokens — before any output. With prompt caching that same fill drops to about $0.1049 on repeat requests. This is why large context windows are cheap to advertise and expensive to actually use.

› Is Gemini 4 Argon worth the price?

Gemini 4 Argon sits in the middle of the market (34 of 40 by price within Google). The honest test is a routing experiment: send the same 200 real requests to this model and to a tier below, and compare failure rate against the price gap — most teams find a majority of traffic never needed the pricier model.