Models / Google/ Gemini 3.7 Flash

Gemini 3.7 Flash

Google · released Aug 13, 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 14, 2026

Gemini 3.7 Flash is Google's multimodal workhorse that handles up to one million tokens in a single request across text, images, audio, video and files. It excels at mathematics and web-development tasks, though its agentic behaviour scores are weak and throughput varies sharply depending on which Google endpoint you choose.

Who should pick it

Pick this for long-document or rich-media workflows that need a million-token context, or for mathematics and web-development tasks where its measured scores are strongest. Use it if you are already in the Google Cloud ecosystem and want the cheapest tier through Vertex or AI Studio. Skip it if you need reliable agentic steerability, strong data-analysis performance, or predictable throughput across endpoints.

The case for it

  • Exceptional mathematics performance on refreshed competition problems, at 93.47% on LiveBench Mathematics.
  • Highest subscore in human preference voting for web-development tasks, at 1587.3 on Arena Code (WebDev).
  • One-million-token request limit with multimodal input spanning images, audio, video and files.
  • Same lowest price available through two Google channels, creating genuine optionality.

The case against it

  • Weak agentic behaviour scores: steerability and recovery are both negative, with only task outcome positive.
  • Data analysis and agentic coding lag well behind its own strong reasoning scores, by over 20 points each.
  • Throughput varies more than twofold across endpoints, and the same provider charges several times more across tiers.
00

How good is it?

A general-purpose text model for everyday questions, drafting and coding, with no measured weak spot on this board.

Good at
  • answering everyday questionsArena Text (overall) · 11th of 168
  • drafting and editing proseArena Creative Writing · 3rd of 168
  • writing and completing codeArena Coding · 27th of 168

EverydayGeneral questions and everyday reasoning

4.5 of 5

Arena Text (overall)11th of 168 · 1488

Arena Hard Prompts 12th of 168Arena Maths 7th of 163LiveBench Mathematics 16th of 58LiveBench Reasoning 22nd of 58LiveBench Data Analysis 48th of 58

CodingWriting and fixing code on its own

4 of 5

Arena Coding27th of 168 · 1519

Arena Code (WebDev) 19th of 95LiveBench Coding 25th of 58

AgenticPlanning, calling tools, staying on task

2.5 of 5

Arena Agent32nd of 55 · −0.012

LiveBench Agentic Coding 16th of 58

WritingDrafting and rewriting prose

4 of 5

Arena Creative Writing3rd of 168 · 1492

LiveBench Language 11th of 58
How it behaves in an agent loop
Tool usereaches for the right one, and does not invent one37th of 55
Steerabilitydoes what it was asked, and changes course when told24th of 55
Recoverygets back on track after a command fails36th of 55
Task outcomefinishes what the session set out to do25th 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 9th of 168LiveBench Instruction Following 2nd of 58LiveBench 12th of 58Arena Agent · Steerability 24th of 55Arena Agent · Task outcome 25th of 55Arena Agent · Recovery 36th of 55Arena Agent · Tool use 37th 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
78.83source ↗
58.28source ↗
78.89source ↗
67.96source ↗
79.93source ↗
85.46source ↗
93.47source ↗
87.8source ↗
−0.012source ↗
−0.03source ↗
0.001source ↗
0.003source ↗
0source ↗
1519source ↗
1492source ↗
1509source ↗
1487source ↗
1507source ↗
1488source ↗
1593source ↗
01

Where to rent it

Prices checked between 58 min and 1 hour 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 1 hour ago1M66K max reply139 tok/sNoYes55 daysUnknown
Google Vertex AIflex tierglobalThrough OpenRouter$0.38 / $1.88checked 1 hour ago1M66K max reply20 tok/sNoNoConfirmed
Google AIDirect$0.75 / $3.75checked 58 min ago1M66K max replynot measuredUnknownUnknownUnknown
Google Vertex AIglobalThrough OpenRouter$0.75 / $3.75checked 1 hour ago1M66K max reply72 tok/sNoNoConfirmed
Google AI StudioThrough OpenRouter$0.75 / $3.75checked 1 hour ago1M66K max reply128 tok/sNoYes55 daysUnknown
DeepInfraDirect$0.75 / $3.75checked 1 hour ago1Mnot measuredUnknownUnknownUnknown
OpenRouterOpenRouter's own listing$0.75 / $3.75checked 1 hour ago1Mnot measuredUnknownUnknownUnknown
Google AI Studiopriority tierThrough OpenRouter$1.35 / $6.75checked 1 hour ago1M66K max reply87 tok/sNoYes55 daysUnknown
Google Vertex AIpriority tierglobalThrough OpenRouter$1.35 / $6.75checked 1 hour ago1M66K max reply106 tok/sNoNoConfirmed

Across the 9 listings we hold: 6 say they do not train on prompts, 0 say they do and 3 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 AIDirect
Google Vertex AIglobalThrough OpenRouter✓✓✓
Google AI StudioThrough OpenRouter✓✓✓
DeepInfraDirect
OpenRouterOpenRouter's own listing✓✓✓
Google AI StudiopriorityThrough OpenRouter✓✓✓
Google Vertex AIpriority · globalThrough OpenRouter✓✓✓

Tool calling: 7 of 9 listings say yes, 2 publish no parameter list. JSON output: 7 of 9 listings say yes, 2 publish no parameter list. Strict schema: 7 of 9 listings say yes, 2 publish no parameter list.

02

Models people weigh against Gemini 3.7 Flash

03

When we formed this view

Recent changes

Sep 25, 2026BenchmarkScored −0.012 via High on Arena Agent
What movedleaderboard
Sep 25, 2026BenchmarkScored −0.03 via High on Arena Agent · Recovery
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.001 via High on Arena Agent · Steerability
What movedleaderboard
Sep 25, 2026BenchmarkScored 0.003 via High on Arena Agent · Task outcome
What movedleaderboard
Sep 25, 2026BenchmarkScored 0 via High on Arena Agent · Tool use
What movedleaderboard
Sep 25, 2026BenchmarkScored 1519 via High on Arena Coding
What movedleaderboard
Sep 25, 2026BenchmarkScored 1492 via High on Arena Creative Writing
What movedleaderboard
Sep 25, 2026BenchmarkScored 1509 via High on Arena Hard Prompts
What movedleaderboard
Sep 25, 2026BenchmarkScored 1487 via High on Arena Instruction Following
What movedleaderboard
Sep 25, 2026BenchmarkScored 1507 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

  • 2 of 9 listings publish no parameter list, so what their API accepts is unknown to us.
  • Nothing we hold says whether an endpoint streams, so we do not show it either way.
  • 3 of 9 listings do not say whether they train on prompts.
  • We hold no batch or off-peak rate for any of its listings.
04

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-3-7-flash

Machine-readable model card (omc.json) →

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