When was Gemini 3.7 Flash released?

Gemini 3.7 Flash was released by Google on Thursday, Aug 13 2026.

Who made Gemini 3.7 Flash?

Gemini 3.7 Flash was built by Google. Builds the Gemini family of models through Google DeepMind. Integrates AI across Google products.

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 through the Google API. Cached input is $0.075 per million tokens. Output prices include reasoning tokens. Rates are pay-as-you-go API prices verified against Google's published pricing on August 18, 2026.

What benchmark scores did Gemini 3.7 Flash get?

Gemini 3.7 Flash reports 24 tracked benchmark scores — BullshitBench v2: 35%; ProgramBench: 0%; DeepSWE 1.1: 65.3%; FrontierCode v1.1 (Main) (main split): 43.6%; Terminal-Bench 4.0: 11.21%; Terminal-Bench 3.0: 14.9%; Terminal-Bench 2.1: 85.8%; Humanity's Last Exam (Verified): 53.6%; ARC-AGI-2: 84.6%; BioMysteryBench (hard): 43.5%; BioMysteryBench (human solved): 87.1%; LAB-Bench 2: 82.1%; OSWorld 2.0: 38.1%; Agent's Last Exam (pass@1): 26.3%; AutomationBench: 30.4%; Harvey's Legal Agent Benchmark: 8.8%; AA Intelligence Index: 56; GDPval-AA v2: 1525; CharXiv Reasoning: 84.5%; GDP.PDF: 34%; LVBench: 85.4%; MRCR v2 (8-needle) (128k average): 97%; MRCR v2 (8-needle) (1M pointwise): 62.5%; threejseval: 1480. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data. It holds the best score among all models tracked here on MRCR v2 (8-needle) (128k average) and MRCR v2 (8-needle) (1M pointwise).

What is the context window of Gemini 3.7 Flash?

Gemini 3.7 Flash has a context window of 1M. That is the maximum amount of input plus output the model can hold in a single request.

Is Gemini 3.7 Flash open source?

No. Gemini 3.7 Flash is a closed model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.

What came before and after Gemini 3.7 Flash?

Google's previous tracked release was Gemini 3.5 Flash Cyber on Jul 21 2026, 23 days earlier. It was followed by Gemini 3.8 Flash on Sep 2 2026.

Gemini 3.7 Flash

Released Aug 13 2026

Gemini 3.7 Flash is an AI model released by Google on Thursday, Aug 13 2026, 23 days after Gemini 3.5 Flash Cyber. It has a 1M token context window. Benchmark results (shown below) cover MRCR v2 (8-needle), BullshitBench v2, ProgramBench, DeepSWE 1.1, FrontierCode v1.1 (Main), Terminal-Bench 4.0, and 16 more.

API pricing

Input: $0.75
Cached input: $0.075
Output: $3.75

Output prices include reasoning tokens.

USD per 1M tokens

Available from


Google	global	flex	$0.375	$1.875	1M
Google AI Studio	—	flex	$0.375	$1.875	1M
Google	global	—	$0.75	$3.75	1M
Google AI Studio	—	—	$0.75	$3.75	1M
Google	global	priority	$1.35	$6.75	1M
Google AI Studio	—	priority	$1.35	$6.75	1M

USD per 1M tokens

Benchmarks

Coding

ProgramBenchvia ProgramBench

#5 of 17

DeepSWE 1.1

65.3%

#15 of 29

FrontierCode v1.1 (Main)

43.6%main split

#5 of 5

Terminal & CLI

Terminal-Bench 4.0via Terminal-Bench

11.21%

#18 of 18

Terminal-Bench 3.0

14.9%

#6 of 7

Terminal-Bench 2.1

85.8%

#11 of 32

Agentic & tool use

OSWorld 2.0

38.1%

#7 of 8

Agent's Last Exam

26.3%pass@1

#5 of 8

AutomationBench

30.4%

#11 of 13

Reasoning & science

Humanity's Last Exam (Verified)

53.6%

#2 of 2

ARC-AGI-2via BenchLM

84.6%

#8 of 34

BioMysteryBench

43.5%hard

87.1%human solved

hard

#3 of 3

human solved

#3 of 3

LAB-Bench 2

82.1%

#2 of 2

Knowledge work

AA Intelligence Index

#3 of 6

GDPval-AA v2

1525

#13 of 20

Legal & tax

Harvey's Legal Agent Benchmark

8.8%

#8 of 9

Multimodal

CharXiv Reasoning

84.5%

#7 of 16

GDP.PDF

34%

#2 of 2

LVBench

85.4%

#2 of 3

Long context

MRCR v2 (8-needle)

97%128k average

62.5%1M pointwise

128k average

1M pointwise

Robustness

BullshitBench v2

35%

#47 of 82

Community preference

threejseval

1480

#10 of 18

Source: BenchLM, retrieved 28 September 2026 · Source: ProgramBench, retrieved 11 September 2026 · Source: Terminal-Bench, retrieved 5 September 2026. Other sources are identified on the linked benchmark pages.

Compare Gemini 3.7 Flash with

Gemini 3.7 Flash

Suggested comparisons

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About

Gemini 3.7 Flash, released August 13, 2026, arrived three weeks after Gemini 3.6 Flash and moved the biggest numbers of the whole Flash line in coding. At launch it scored 65.3% on DeepSWE v1.1 for long-horizon software engineering, against 49.0% for 3.6 Flash, and 43.6% on the main split of FrontierCode 1.1 — the best figure in Google's launch comparison, ahead of Claude Sonnet 5 and GPT-5.6 Terra. Web development moved with it, to an Arena.ai WebDev Elo of 1588, and the gains extended past code: 30.4% on AutomationBench for enterprise workflows (up from 17.0%), 34.0% on GDP.PDF document comprehension (up from 22.0%), 8.8% all-pass-rate on Harvey's Legal Agent Benchmark for complex legal workflows, and 97.0% on MRCR v2 128k long-context recall. On the Artificial Analysis Intelligence Index it landed at 56, above Sonnet 5 at 55 and a point below GPT-5.6 Terra and Muse Spark 1.2.

Price was the other half of the pitch. Google launched it at an introductory $0.75 per million input tokens and $3.75 per million output through the end of 2026 — half what 3.6 Flash had cost at its own launch — with the rate reverting to $1.50/$7.50 in January 2027. It shipped with a 1M-token context window and multimodal input covering images, video, audio, and PDFs, across the Gemini API, AI Studio, Antigravity, Android Studio, and Gemini Enterprise, and reached consumers through Spark for AI Pro and Ultra subscribers. The agentic computer-use scores were the exception to the sweep: 38.1% on OSWorld 2.0 and 14.9% on Terminal-Bench 3.0 both trailed GPT-5.6 Terra at release. Three Flash-tier upgrades between May and August, against a Pro flagship untouched since February, made clear which tier Google saw as the centre of its lineup. The fourth followed on September 2, 2026, when Gemini 3.8 Flash took over the line after twenty days.

Frequently asked questions

: Gemini 3.7 Flash was released by Google on Thursday, Aug 13 2026.
: Gemini 3.7 Flash was built by Google. Builds the Gemini family of models through Google DeepMind. Integrates AI across Google products.
: Gemini 3.7 Flash costs $0.75 per million input tokens and $3.75 per million output tokens through the Google API. Cached input is $0.075 per million tokens. Output prices include reasoning tokens. Rates are pay-as-you-go API prices verified against Google's published pricing on August 18, 2026.
: Gemini 3.7 Flash reports 24 tracked benchmark scores — BullshitBench v2: 35%; ProgramBench: 0%; DeepSWE 1.1: 65.3%; FrontierCode v1.1 (Main) (main split): 43.6%; Terminal-Bench 4.0: 11.21%; Terminal-Bench 3.0: 14.9%; Terminal-Bench 2.1: 85.8%; Humanity's Last Exam (Verified): 53.6%; ARC-AGI-2: 84.6%; BioMysteryBench (hard): 43.5%; BioMysteryBench (human solved): 87.1%; LAB-Bench 2: 82.1%; OSWorld 2.0: 38.1%; Agent's Last Exam (pass@1): 26.3%; AutomationBench: 30.4%; Harvey's Legal Agent Benchmark: 8.8%; AA Intelligence Index: 56; GDPval-AA v2: 1525; CharXiv Reasoning: 84.5%; GDP.PDF: 34%; LVBench: 85.4%; MRCR v2 (8-needle) (128k average): 97%; MRCR v2 (8-needle) (1M pointwise): 62.5%; threejseval: 1480. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data. It holds the best score among all models tracked here on MRCR v2 (8-needle) (128k average) and MRCR v2 (8-needle) (1M pointwise).
: Gemini 3.7 Flash has a context window of 1M. That is the maximum amount of input plus output the model can hold in a single request.
: No. Gemini 3.7 Flash is a closed model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.
: Google's previous tracked release was Gemini 3.5 Flash Cyber on Jul 21 2026, 23 days earlier. It was followed by Gemini 3.8 Flash on Sep 2 2026.