Models / Google/ Gemini 3.8 Flash

Gemini 3.8 Flash

Google · released Sep 2, 2026

Input: text, images, audio, video and documents. Output: text.InputOutput
Type
Closed
Input
$0.75
Output
$3.75
Cached
None held

List price · per 1M tokens · Google AI at 1M context · machine-readable source ↗

Our take

Written Sep 29, 2026

Gemini 3.8 Flash is a hosted-only model with no download and no licence terms, so using it means choosing a host. It leads the LiveBench field on instruction following and places near the top of the Arena boards for maths and creative writing, but sits near the bottom on data analysis and below the middle on code.

Who should pick it

Pick it for constrained rewriting and rule-following work, where it leads the LiveBench field, or for maths and creative writing where human preference is the measure. It also takes text, images, files, audio and video in one request, so a recording or a document does not have to be described first. Skip it if the job is data analysis or code generation, or if you need to run the model yourself.

The case for it

  • 81.41% on LiveBench Instruction Following, 1st of 58 on that board as of 25 Jun 2026 — the board measures constrained-rewriting tasks, so it is evidence for rule-following rather than open-ended quality.
  • 6th of 168 on Arena Creative Writing via High as of 25 Sep 2026, a human pairwise vote that records which answer people preferred rather than whether it was correct.
  • Text, image, file, audio and video input in one request, so a recording or a document does not have to be transcribed or described first.
  • The request capacity leaves room for a long report or a stack of documents beside the question, though reliable recall across all of it is unverified in our data.

The case against it

  • 54.01% on LiveBench Data Analysis, 57th of 58 on that board as of 25 Jun 2026 — the board measures table and event-ordering tasks, so it is a poor fit for structured-data work.
  • 72.49% on LiveBench Coding, 46th of 58 on that board as of 25 Jun 2026, and 24th of 95 on Arena Code (WebDev) via High as of 25 Sep 2026.
  • We list no download for it, so using it means choosing a host, and no licence is supplied, so nothing here states what you may do with it.
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How good is it?

A general-purpose assistant for everyday questions, drafting and coding, with agent work as a further strength.

Good at
  • getting answers to everyday questionsArena Text (overall) · 8th of 168
  • drafts, rewrites and editingArena Creative Writing · 6th of 168
  • writing and completing codeArena Coding · 12th of 168
  • multi-step work it carries out for youArena Agent · 12th of 55

EverydayGeneral questions and everyday reasoning

4.5 of 5

Arena Text (overall)8th of 168 · 1492

Arena Hard Prompts 9th of 168Arena Maths 3rd of 163LiveBench Reasoning 14th of 58LiveBench Mathematics 22nd of 58LiveBench Data Analysis 57th of 58

CodingWriting and fixing code on its own

4.5 of 5

Arena Coding12th of 168 · 1532

Arena Code (WebDev) 24th of 95LiveBench Coding 46th of 58

AgenticPlanning, calling tools, staying on task

3 of 5

Arena Agent12th of 55 · 0.041

LiveBench Agentic Coding 26th of 58

WritingDrafting and rewriting prose

4 of 5

Arena Creative Writing6th of 168 · 1482

LiveBench Language 5th of 58
How it behaves in an agent loop
Tool usereaches for the right one, and does not invent one31st of 55
Steerabilitydoes what it was asked, and changes course when told15th of 55
Recoverygets back on track after a command fails31st of 55
Task outcomefinishes what the session set out to do6th of 55

Placings on Arena's agent boards, from live sessions people ran themselves. A model can lead on one of these and sit mid-field on the others.

Other boards it appears on
Arena Instruction Following 8th of 168LiveBench Instruction Following 1st of 58LiveBench 28th of 58Arena Agent · Task outcome 6th of 55Arena Agent · Steerability 15th of 55Arena Agent · Recovery 31st of 55Arena Agent · Tool use 31st of 55

Boards this model appears on that none of the ratings above are built on.

Every published score for this model20 scoresEvery figure we hold, from 20 boards, with who ran it and a link to the source — including the boards no rating above is built on.
LiveBenchreasoning
75.83source ↗
54.24source ↗
72.49source ↗
54.01source ↗
81.41source ↗
87.79source ↗
91.56source ↗
89.29source ↗
0.041source ↗
0.003source ↗
0.037source ↗
0.102source ↗
0.002source ↗
1532source ↗
1482source ↗
1516source ↗
1488source ↗
1522source ↗
1492source ↗
1580source ↗
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Where to rent it

Prices checked 3 hours ago — each listing carries its own date.

Cheapest published offer

Google AI, direct

The lab is the cheapest at this context. The strip above and this offer are the same one, compared at 1M of context. 2 cheaper rows below are outside that comparison: a non-standard pricing tier.

per 1M tokens
$0.75 in / $3.75 out
Context served
1M
Throughput
Not measured
Current provider offers with price, context and prompt-privacy answers
ProviderIn / out per 1M tokensContextThroughputTrains on promptsLogs promptsZero retention
Google AI Studioflex tierThrough OpenRouter$0.38 / $1.88checked 3 hours ago1M66K max reply144 tok/sNoYes55 daysUnknown
Google Vertex AIflex tierglobalThrough OpenRouter$0.38 / $1.88checked 3 hours ago1M66K max reply25 tok/sNoNoConfirmed
Google Vertex AIglobalThrough OpenRouter$0.75 / $3.75checked 3 hours ago1M66K max reply64 tok/sNoNoConfirmed
OpenRouterOpenRouter's own listing$0.75 / $3.75checked 3 hours ago1Mnot measuredUnknownUnknownUnknown
Google AI StudioThrough OpenRouter$0.75 / $3.75checked 3 hours ago1M66K max reply129 tok/sNoYes55 daysUnknown
Google AIDirect$0.75 / $3.75checked 3 hours ago1M66K max replynot measuredUnknownUnknownUnknown
Google Vertex AIpriority tierglobalThrough OpenRouter$1.35 / $6.75checked 3 hours ago1M66K max reply101 tok/sNoNoConfirmed
Google AI Studiopriority tierThrough OpenRouter$1.35 / $6.75checked 3 hours ago1M66K max reply152 tok/sNoYes55 daysUnknown

Across the 8 listings we hold: 6 say they do not train on prompts, 0 say they do and 2 do not say. 3 appear in the zero-retention registry we check; the rest are unknown to us.

What each host's API supports

From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.

API features per host
ProviderTool callingJSON outputStrict schema
Google AI StudioflexThrough OpenRouter✓✓✓
Google Vertex AIflex · globalThrough OpenRouter✓✓✓
Google Vertex AIglobalThrough OpenRouter✓✓✓
OpenRouterOpenRouter's own listing✓✓✓
Google AI StudioThrough OpenRouter✓✓✓
Google AIDirect
Google Vertex AIpriority · globalThrough OpenRouter✓✓✓
Google AI StudiopriorityThrough OpenRouter✓✓✓

Tool calling: 7 of 8 listings say yes, 1 publishes no parameter list. JSON output: 7 of 8 listings say yes, 1 publishes no parameter list. Strict schema: 7 of 8 listings say yes, 1 publishes no parameter list.

02

Models people weigh against Gemini 3.8 Flash

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When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored 0.041 via High on Arena Agent
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.003 via High on Arena Agent · Recovery
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.037 via High on Arena Agent · Steerability
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.102 via High on Arena Agent · Task outcome
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.002 via High on Arena Agent · Tool use
What movedleaderboard
Sep 25, 2026BenchmarkScored 1532 via High on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1482 via High on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1516 via High on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1488 via High on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1522 via High on Arena Maths
What movedleaderboard

Each date is the day we first saw the change, or the day the maker announced it.

What we do not know about this model yet

  • 1 of 8 listings publishes no parameter list, so what its API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 2 of 8 listings do not say whether they train on prompts.
  • We hold no batch or off-peak rate for any of its listings.
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Licence and identifiers

What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.

Licence

We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.

Identifiers

Takes in, gives back
Text, images, audio, video and documents in, text out
Catalogue slug
google-gemini-3-8-flash

Machine-readable model card (omc.json) →

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