Gemini 3.7 Flash

Spec

Attribute	Value
Developer	Google DeepMind
Released	2026-08-13
Announced	2026-08-13
Context window	1,000,000 tokens (64,000 max output)
Pricing	$0.75/M input · $3.75/M output (introductory, through 2026-12-31) · $1.50/M · $7.50/M from 2027-01-01
License	proprietary
Availability	Gemini API, Google AI Studio, Android Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise app, Spark in the Gemini app (AI Pro and Ultra)
Generally available at announcement — a stable API model, not a preview
(source).

Knowledge cutoff March 2026, unchanged from its predecessor (source).

No parameter count, architecture or weight release is reported, and none is expected on this line.

Release Date

2026-08-13, 23 days after Gemini 3.6 Flash (2026-07-21).

Logan Kilpatrick, who leads product for Google AI Studio, described the gain as arriving in "roughly three weeks" and attributed it to algorithmic improvements across Google DeepMind teams rather than to scale (source). That is a claim about the source of the improvement and no evidence for it was published; it is recorded as the vendor's account.

Benchmarks

Vendor-stated, against Gemini 3.6 Flash (source):

Benchmark	Gemini 3.7 Flash	Gemini 3.6 Flash
AutomationBench	30.4%	17.0%
FrontierCode	43.6%	34.4%
DeepSWE	65.3%	48.6%
LVBench (long video)	85.4%	unknown
GDM-MRCR v2 @128k	97.0%	unknown
GDM-MRCR v2 @1M	62.5%	unknown
WebDev Arena	1588 Elo	unknown
On AutomationBench — enterprise workflow automation — coverage places it
ahead of GPT-5.6 Terra (23.6%) and **Claude Sonnet 5
(10.7%)** (source).
Whether Google ran those comparison figures itself is not stated in anything
read.

Not one of these benchmarks appears in any sources/evals/ snapshot this repository holds — not AutomationBench, FrontierCode, LVBench, GDM-MRCR v2 or WebDev Arena. This is the same gap recorded on Muse Glimmer, Nemotron 3.5 Lightning and Grok Imagine Image 2.0: there is no local column to check the vendor's figure against, so the number and its provenance travel together or not at all. See Eval Harness Configuration.

Note the shape of the headline: 30.4% is roughly double 17.0%, and it is also under a third of the tasks. Both readings are in the same figure and the release material carries only the first (source).

The DeepSWE figure of 65.3% is the one directly comparable to a number this wiki already holds: DeepSeek V4-Pro-0813 reports 62.7 on the same benchmark, vendor-run and with no published harness on either side.

Use Cases

Positioned as a workhorse: Google's own blog title is "our most intelligent workhorse model" (source). The benchmark selection — enterprise workflow automation, coding, long-context retrieval, long video — describes the intended workload more precisely than the positioning does.

Accepts text, images, audio and video (source).

Compared To

• Gemini 3.6 Flash — the direct predecessor, 23 days earlier; same context window, same output ceiling, same standard price
• Gemini 3.5 Flash — the generation before it
• GPT-5.6 Sol (and Terra, Luna) — its Terra tier is the model named as the AutomationBench comparison
• Claude Sonnet 5 — the other named comparison, at 10.7% on AutomationBench
• DeepSeek V4-Pro-0813 — released the same day, and the nearest DeepSWE figure

Sources

• Introducing Gemini 3.7 Flash — Google DeepMind → (snapshot)
• Gemini 3.7 Flash: our most intelligent workhorse model — blog.google
• What's new in Gemini 3.7 Flash — Google AI for Developers
• Google Cuts Gemini 3.7 Flash Price in Half as It Claims to Top Claude on Business Workflows — TechTimes
• Google Releases Gemini 3.7 Flash — officechai
• Google AI Just Released Gemini 3.7 Flash — MarkTechPost