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VECTOR WIREAI INTELLIGENCE
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Models741Deals30d270Policy30d65, 13 pendingSources1,015

Gemini 3.7 Flash

GoogleReleased Aug 13, 2026Current

Score basis

Gemini 3.7 Flash is at the frontier in long context; strong in factuality; capable in reasoning, multimodal tasks, agentic tasks, and coding; and behind the leaders in instruction following and math. Too few results yet to rate safety or multilingual tasks.

Capability profile

Bars show the model's median result as a share of the leading model's, per capability. Select a row to see its results.

Frontier1 capability
  1. Long Context−1.3%2 of 3
Strong1 capability
  1. Factuality−6.4%3 of 4
Capable4 capabilities
  1. Reasoning−11.1%5 of 6
  2. Multimodal−15.6%2 of 6
  3. Agentic−21.3%4 of 7
  4. Coding−23.2%5 of 10
Limited2 capabilities
  1. Instruction Following−27.4%1 of 3
  2. Math−36.3%5 of 5
Not rated2 capabilities

Too few results yet to rate Safety or Multilingual.

Price

$0.75input$3.75outputper million tokens

From Artificial Analysis · 4 providers tracked · All prices

Costs more than 65% of 330 priced models · 3:1 input-to-output blend, log scale

Evidence

89results on51benchmarks

  • 20 independently verified
  • 46 aggregator
  • 23 vendor-reported

From 14 sources · latest Oct 8, 2026 · How verification works

API features

Tool callingStructured outputsReasoning

As listed by OpenRouter

Research

9 papers reference Gemini 3.7 Flash

Gemini 3.7 Flash benchmark results

89 results on 51 benchmarks, grouped by capability. Each bar is the result as a share of the capability leader's; every result links to its source.

Long Context

FrontierFull long context ranking

1.3% behind the leader2 of 3 ranked benchmarks measured

Show 2 more long context resultsHide 2 long context results

Factuality

StrongFull factuality ranking

6.4% behind the leader3 of 4 ranked benchmarks measured

Show 4 more factuality resultsHide 4 factuality results

Reasoning

CapableFull reasoning ranking

11.1% behind the leader5 of 6 ranked benchmarks measured

Show 8 more reasoning resultsHide 8 reasoning results

Multimodal

CapableFull multimodal ranking

15.6% behind the leader2 of 6 ranked benchmarks measured

Show 4 more multimodal resultsHide 4 multimodal results

Agentic

CapableFull agentic ranking

21.3% behind the leader4 of 7 ranked benchmarks measured

Show 4 more agentic resultsHide 4 agentic results

Coding

CapableFull coding ranking

23.2% behind the leader5 of 10 ranked benchmarks measured

Show 5 more coding resultsHide 5 coding results

Instruction Following

LimitedFull instruction following ranking

27.4% behind the leader1 of 3 ranked benchmarks measured

Math

LimitedFull math ranking

36.3% behind the leader5 of 5 ranked benchmarks measured

More results

Benchmarks outside the capability baskets. They are not ranked against a leader.

Show 32 more resultsHide 32 results

Gemini 3.7 Flash: common questions

Who makes Gemini 3.7 Flash?

Gemini 3.7 Flash is made by Google.

When was Gemini 3.7 Flash released?

Gemini 3.7 Flash was released on Aug 13, 2026, according to Artificial Analysis.

What is Gemini 3.7 Flash good at?

Gemini 3.7 Flash is at the frontier in long context; strong in factuality; capable in reasoning, multimodal tasks, agentic tasks, and coding; and behind the leaders in instruction following and math. Too few results yet to rate safety or multilingual tasks.

How much does Gemini 3.7 Flash cost?

Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens, according to Artificial Analysis. We track its price at 4 providers. At a mix of three input tokens to one output token, it costs more than 65% of the 330 priced models we track.

How many benchmarks has Gemini 3.7 Flash been tested on?

We track 89 results for Gemini 3.7 Flash on 51 benchmarks from 14 sources, 20 of them independently verified. The latest was recorded on Oct 8, 2026.

Which API features does Gemini 3.7 Flash support?

OpenRouter lists tool calling, structured outputs, and reasoning for Gemini 3.7 Flash.

About this record

Where Gemini 3.7 Flash's numbers come from, and every name it appears under.

Tracked since
Aug 13, 2026
Newest source mention
Aug 15, 2026

Where the results come from

Verification: 89 scores · 20 independently verified · 46 aggregator-attributed · 23 vendor-reported. How these tiers are assigned

From 14 sources on 9 sites. Artificial Analysis supplies 47 of them; the 20 independently verified results come from 6 sites. Bars are coloured by trust tier.

  • artificialanalysis.ai47
  • api.llm-stats.com10
  • deepmind.google9
  • livebench.ai7
  • arcprize.org6
  • storage.googleapis.com4
  • epoch.ai3
  • datasets-server.huggingface.co2
  • lmarena.ai1

Also known as

How our sources name Gemini 3.7 Flash at each reasoning setting.

SettingShort formAPI id
lowgemini 3.7 flash (low)gemini-3-7-flash-low
mediumgemini 3.7 flash (medium)gemini-3-7-flash-medium
highgemini 3.7 flash (high)gemini-3.7-flash-high
Also listed asgemini-3-7-flash