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Gemini 3

Google's Gemini 3 family for reasoning, coding, agents, voice and media.

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Agents & ChatFreeWe checked the prices on ai.google.dev on 28 Sep 2026.

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Recaply review

Gemini 3 review: fast, low-cost models with a free API tier

Gemini 3 is Google's current model family for developers and Gemini app users, running from the low-cost 3.1 Flash-Lite and fast 3.8 Flash to the 3.1 Pro preview, plus voice, speech and image models.

$0
Free tier on the Gemini API for most Flash, Live and speech models
$0.25
Per million input tokens for 3.1 Flash-Lite, the cheapest text model; $1.50 out
1M
Token context on the text models, with up to 64K tokens of output
77.1%
On ARC-AGI-2 for Gemini 3.1 Pro, Google's verified score

What is Gemini 3?

Gemini 3 is not one model but Google's whole current line-up on the Gemini API and in the Gemini app. The text models read text, images, video, audio and PDFs across a 1M-token context and write up to 64K tokens. Around them sit Live voice models, text-to-speech, transcription and the Nano Banana image models, and most of the family is free to try on a rate-limited tier.

Google ships new versions every few weeks. 3.8 Flash is its strongest Flash model, while 3.7 Flash and 3.6 Flash stay supported. The original Gemini 3 Pro is shut down; 3.1 Pro replaces it but is still a preview.

Which Gemini 3 models are current?

Google's current picks are 3.8 Flash for most work, 3.1 Flash-Lite for cheap bulk jobs and the 3.1 Pro preview for the hardest reasoning; the original Gemini 3 Pro is shut down.

Gemini 3.8 Flash
The newest and strongest Flash model, stable, and Google's default for coding and agents.
Gemini 3.7 Flash and 3.6 Flash
Earlier Flash models, still supported at the same price; Google suggests 3.7 Flash when token efficiency matters most.
Gemini 3.1 Pro
Still a preview; it replaced the shut-down Gemini 3 Pro Preview.
Gemini 3.1 Flash-Lite
Stable, but Google has set a shutdown date and names Gemini 3.5 Flash-Lite as its replacement.
Gemini 3 Flash
A preview that Google now calls legacy, with Gemini 3.6 Flash as the recommended replacement.

Who is Gemini 3 best for?

Gemini 3 is best for developers who want fast, low-cost models with a free tier and Google Search built in, from bulk jobs on 3.1 Flash-Lite to coding and agents on 3.8 Flash.

  • Fast coding and prototyping

    Gemini 3.8 Flash is Google's strongest Flash model for software and agent work, with a 1M-token context at $1.50 in and $7.50 out per million tokens.

  • High-volume, low-cost jobs

    Gemini 3.1 Flash-Lite handles translation, tagging and extraction at $0.25 in and $1.50 out per million tokens.

  • Answers that need fresh facts

    Grounding with Google Search and Google Maps is built in, with 5,000 free requests a month on the paid tier, then $14 per 1,000.

  • Voice and speech apps

    Live models hold real-time spoken conversations, and separate models handle text-to-speech in up to 130 languages and transcription with speaker labels.

What's included with Gemini 3?

A free API tier, adjustable thinking levels, half-price Batch and Flex requests, Google Search and Maps grounding, built-in tools and context caching.

Free API tier
Most Flash, Flash-Lite, Live and speech models are free at lower rate limits, though free-tier prompts are used to improve Google's products.
Thinking levels
You set how much a model reasons before it answers, from minimal or low up to high; 3.8 Flash defaults to medium and 3.1 Pro to high.
Batch, Flex and Priority
Batch and Flex requests cost half the Standard rate for work that can wait; Priority costs more, for example $2.70 / $13.50 on 3.8 Flash.
Search and Maps grounding
Models can check Google Search and Google Maps before answering, which helps with anything newer than their training data.
Built-in tools
Code execution, URL context, file search, function calling and structured JSON output work across the text models.
Context caching
Cached input costs a tenth of the normal input price, plus an hourly storage fee, which cuts the bill for long repeated prompts.

How much does Gemini 3 cost?

Gemini 3 is free on the Gemini API's rate-limited tier for most models; paid text prices run from $0.25 in and $1.50 out per million tokens for 3.1 Flash-Lite to $2.00 in and $12.00 out for 3.1 Pro Preview.

Free tier$0On Gemini API and Google AI Studio
  • Free, rate-limited tokens for the Flash, Flash-Lite, Live and speech models
  • Not for 3.1 Pro Preview or the image and video models
  • Prompts and responses are used to improve Google's products
Gemini 3.1 Flash-Lite$0.25 / $1.50Per million input / output tokens
  • Cheapest Gemini 3 text model
  • Audio input $0.50
  • Half price through Batch or Flex
Gemini 3.8 Flash$1.50 / $7.50Per million input / output tokens
  • Newest Flash model, aimed at coding and agents
  • Same list price as 3.7 Flash and 3.6 Flash
  • Batch or Flex $0.75 / $3.75
Gemini 3.1 Pro Preview$2.00 / $12.00Per million input / output tokens
  • Prompts up to 200K tokens; $4.00 / $18.00 for longer prompts
  • No free tier
  • Batch or Flex $1.00 / $6.00

Other paid prices per million input / output tokens: Gemini 3.5 Flash $1.50 / $9.00, Gemini 3.5 Flash-Lite $0.30 / $2.50 and Gemini 3 Flash Preview $0.50 / $3.00. The Live voice models charge $3.00 per million audio input tokens and $12.00 per million audio output tokens, and Nano Banana 2 images cost about $0.045 to $0.151 each depending on size. Google Search grounding gives 5,000 free requests a month across Gemini 3 models, then $14 per 1,000. The paid tier needs a linked billing account and at least $5 of prepaid credit, which expires after a year, and paid prompts are not used to improve Google's products. In the Gemini app, the Free plan includes 3.6 Flash and some 3.1 Pro use, and Google AI Pro costs $19.99 a month (US prices). Enterprise use on Gemini Enterprise Agent Platform is priced through sales. Full pricing on ai.google.dev. We checked these prices on .

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Gemini 3 pros and cons

It is fast, cheap and grounded in Google Search, but developers find it weaker in long agentic coding runs, and its Pro model is still a preview.

Pros

  • Flash models are quick: Hacker News testers single out how fast 3.8 Flash and 3.7 Flash return working code, and several use Flash as their everyday workhorse.
  • Grounding in Google Search and Maps is a real edge for lookups, travel planning and scraping jobs, and users say no other model family matches it there.
  • A free API tier covers most of the family, something users point out few other major labs offer.
  • Low list prices: 3.1 Flash-Lite costs $0.25 / $1.50 and 3.8 Flash $1.50 / $7.50 per million tokens, with Batch and Flex at half that.

Cons

  • Many developers find it weaker than Claude or GPT models in long agentic coding runs: it writes good code but stalls or claims work it has not done once tools are involved.
  • 3.8 Flash spends more tokens on hard tasks by design, and users report thousands more tokens per task than 3.7 Flash, so a low price per token does not always mean a low bill.
  • The Pro model is still a preview: 3.1 Pro may have tighter rate limits and can be retired with as little as two weeks' notice, and Google has already shut down the original Gemini 3 Pro.
  • Knowledge stops at January 2025 on 3.1 Pro, 3 Flash and 3.1 Flash-Lite, and users say Gemini resists newer facts unless Search grounding is on.

What are the best Gemini 3 alternatives?

Three tools on Recaply do Gemini 3's job. Gemma 4 is open source, so you can run it on your own server.

Questions about Gemini 3

What is Gemini 3's knowledge cutoff?

Google lists a knowledge cutoff of January 2025 for Gemini 3.1 Pro, 3 Flash and 3.1 Flash-Lite. For anything newer, turn on Grounding with Google Search, which gives 5,000 free requests a month on the paid tier across Gemini 3 models, then $14 per 1,000.

Who is Gemini 3 for?

Gemini 3 is best for developers who want fast, low-cost models with a free tier and Google Search built in, from bulk jobs on 3.1 Flash-Lite to coding and agents on 3.8 Flash.

Is Gemini 3 free?

Mostly, within limits. The Gemini API's free tier charges nothing for Gemini 3 Flash, Flash-Lite, Live and speech models, at lower rate limits and with your prompts used to improve Google's products. Gemini 3.1 Pro Preview and the image and video models are paid only, from $2.00 per million input tokens for 3.1 Pro.

How much does Gemini 3 cost?

Gemini 3's paid plans are Gemini 3.1 Flash-Lite at $0.25 / $1.50 per million input / output tokens, Gemini 3.8 Flash at $1.50 / $7.50 per million input / output tokens and Gemini 3.1 Pro Preview at $2.00 / $12.00 per million input / output tokens.

Is there an open source alternative to Gemini 3?

Yes. Gemma 4 is an open source tool that does the same job, so you can run your own.

What are the best Gemini 3 alternatives?

The closest alternatives on Recaply are Claude Sonnet 5, GPT-6 Astra and Gemma 4.

Where can I try Gemini 3?

On its official website, ai.google.dev.

Which Gemini 3 model should I pick?

Start with Gemini 3.8 Flash, Google's strongest Flash model, at $1.50 in and $7.50 out per million tokens. Drop to 3.1 Flash-Lite for cheap bulk work, use 3.7 Flash when token use matters more than peak quality, or step up to the 3.1 Pro preview for the hardest reasoning.

What happened to Gemini 3 Pro?

Google shut down Gemini 3 Pro Preview on the Gemini API, and requests to gemini-3-pro-preview now go to Gemini 3.1 Pro Preview. 3.1 Pro is the family's Pro model, still in preview, at $2.00 in and $12.00 out per million tokens for prompts up to 200K tokens.

Can I use the Google Cloud free trial credit for Gemini 3?

No. Google excludes Gemini API usage from the $300 Google Cloud free trial credit. The paid tier needs a linked billing account and at least $5 of prepaid credit, which expires after a year, and new paid accounts start with a $250 monthly spend cap.

Our verdict

Gemini 3 is the family to start with when speed, price and a free tier matter more than peak agentic coding.

Its Flash models are quick and cheap, 3.1 Flash-Lite starts at $0.25 per million input tokens, and Search grounding is built in; but developers still rate Claude and GPT models higher in long tool-using coding runs, and the Pro model is a preview.

Skip it for
Long autonomous coding agents, or production work that needs a generally available Pro model.
Check first
Measure token use at the thinking level you plan to run, since 3.8 Flash spends more tokens on hard tasks by design.