Provider pricing

Google Gemini pricing: API cost per model, user, and month

Google Gemini lists 14 priced models in the ByteCosts index, with Gemini 2.0 Flash-Lite at about $0.142 per million tokens on ByteCosts' 70% input / 30% output blend. For most AI apps the bill is driven by output tokens, retry rate, and prompt-cache hit rate far more than the headline input price, so Google Gemini is cost-effective when your workload is input-heavy (RAG, classification) or can cache a large shared prefix. Compare Google Gemini against alternatives on a real workload - seats, requests, and token mix - before committing to a model or a subscription, because a cheaper per-token price can still lose once power users and long outputs are priced in.

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Google Gemini pricing at a glance

  • Cheapest tracked chat model: Gemini 2.0 Flash-Lite at $0.142 per 1M tokens (blended)
  • Flagship: Gemini 3.1 Pro Preview at $5.00 per 1M tokens (blended)
  • Last recorded price event: Gemini 3.1 Pro Preview input on Jun 1, 2026
  • 14 priced models in the index, updated July 9, 2026

Google Gemini model prices

Per-million-token list prices for current Google Gemini models, from the ByteCosts pricing index. Output tokens usually cost several times more than input.

Google Gemini model prices per million tokens
ModelInputOutputContextIntelligence
Gemini 3.5 Flash$1.50$9.001M50.2
Gemini 3.1 Pro Preview$2.00$12.001M46.5
Gemini 3 Pro Preview$2.00$12.001M39.6
Gemini 3 Flash Preview$0.500$3.001M37.8
Gemini 2.5 Pro$1.25$10.001M25.8
Gemini 3.1 Flash Lite$0.250$1.501M25
Gemini 3.1 Flash Lite Preview$0.250$1.501M25
Gemini 2.5 Flash$0.300$2.501M23.8
Gemini 2.5 Flash-Lite$0.100$0.4001M15.1
Gemini 2.0 Flash$0.100$0.4001M12.3
Gemini 2.0 Flash-Lite$0.075$0.3001M8.8
Gemini Flash-Lite Latest$0.100$0.4001M-

Google Gemini subscription plans

Flat-rate Google Gemini plans billed per month, separate from the per-token API pricing above. List prices; annual or quarterly billing can lower the effective rate. Verify the current price with Google Gemini before subscribing.

Google Gemini subscription plan prices per month
PlanMonthlyAnnual (effective)Includes
Gemini Code Assist Standard$22.8/mo$19/moTeam Gemini coding agent across IDE, CLI, Cloud.
Gemini Code Assist Enterprise$54/mo$45/moEnterprise Gemini coding agent with repo customization.

Recent Google Gemini price events

Source-backed price events recorded for Google Gemini in the ByteCosts ledger, newest first. Every event below is a first-time listing - the ledger started tracking that rate; the model itself may be older.

Recent recorded Google Gemini price events
ModelRatePriceRecorded
Gemini 3.1 Pro Previewinput$2.00Jun 1, 2026
Gemini 3 Flash Previewinput$0.500Jun 1, 2026
Gemini Robotics-ER 1.6 Previewinput$1.00Jun 1, 2026
Gemini Embeddinginput$0.150Jun 1, 2026

When Google Gemini is cost-effective

Token price alone does not decide cost. The variables that actually move an AI bill are: how many output tokens each call emits (output is the expensive side), how often calls retry, what fraction of the input prefix can be served from prompt cache, and how heavily your top 1% of users use the product.

Google Gemini tends to win when your workload is input-heavy with short outputs, when you can cache a large shared system prompt or document context, or when a smaller Google Gemini model clears your quality bar. It tends to lose when outputs are long and uncached, where a cheaper-per-output model compounds the saving across millions of calls.

Hidden costs to watch with Google Gemini

List pricing rarely equals your invoice. Budget for these before you commit:

  • Output-token blow-up: reasoning and verbose responses multiply the most expensive token class.
  • Retries and tool loops: a single failed agent step can re-send the whole context.
  • Cache misses: prompt caching only saves money above a break-even reuse count; cold prefixes pay the write premium.
  • Power users: a small share of heavy users can dominate spend and erase a plan's margin.
  • Egress and gateway fees: LLM gateways and observability add a percentage on top of raw model cost.

Limitations before production billing decisions

Treat ByteCosts calculations as planning estimates, not final billing totals. Real invoices can differ because token mix, retry rate, cache hit rate, rate limits, taxes, gateway fees, regional pricing, and negotiated discounts change the effective cost.

Verify the provider source before production billing decisions, then compare the estimate with your own logs or invoice once production traffic is live.

Lower-blend alternatives to Google Gemini

On ByteCosts' 70% input / 30% output chat blend, these providers screen lower than Google Gemini. Treat this as a shortlist, not a decision - check the selected model against your real token mix:

  • Mistral - $0.040 blended via Ministral 3B (latest), 28 priced models.
  • Cohere - $0.071 blended via Command R7B, 8 priced models.
  • Alibaba Qwen - $0.095 blended via Qwen Turbo, 43 priced models.

Frequently asked questions

How much does Google Gemini cost per million tokens?

Google Gemini's low-cost tracked chat row is Gemini 2.0 Flash-Lite at about $0.142 per million tokens on ByteCosts' 70% input / 30% output blend. That same model's component rates are $0.075 input and $0.300 output; flagship models cost more. See the price table above for current per-model rates.

Is Google Gemini cheaper than the alternatives?

It depends on the workload. Google Gemini can be cheaper for input-heavy or cacheable workloads even when its headline price is higher, because output volume and cache hit rate move the bill more than the per-token rate. Use the ByteCosts calculators to compare on your real traffic.

Where does ByteCosts get Google Gemini prices?

Prices come from Google Gemini's official pricing/docs pages, normalized into the ByteCosts pricing index and dated. Each record carries a confidence grade and a source link. Prices are list prices and exclude negotiated or volume discounts. Verify the provider source before production billing decisions.

Google Gemini pricing. ByteCosts. Updated July 9, 2026. https://bytecosts.com/pricing/google/

Sources

Machine-readable