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Google

Gemini 3.7 Flash

Gemini 3.7 Flash is a Google model with 1.05M context, $0.75 in / $3.75 out per million tokens, last verified October 1, 2026. Open weights: no. Public-board scores are linked to the publisher; vendor-only figures stay in the watch-out, not on the board.

Google describes Gemini 3.7 Flash as its efficient multimodal option for everyday coding and agentic tool use; the newer 3.8 is offered for more demanding workflows.

Recorded profile verification October 1, 2026Individual provider fields may change

AI model specification details
SpecificationGemini 3.7 Flash
ProviderGoogle
TierBudget
Context window1.05M
Max output66K
Input / 1M tokens$0.75
Output / 1M tokens$3.75
WeightsClosed
ParametersNot verifiedUnverified
Reasoning levelslow, medium, high
Modalitiestext, image, video, audio, pdf
API model idgemini-3.7-flash
ReleasedAugust 13, 2026

Pricing tiers: Intro Standard $0.75/$3.75 per MTok through December 31, 2026; $1.50/$7.50 from January 1, 2027. Output includes thinking tokens. Cached input $0.075, rising to $0.15; storage $0.50/MTok-hour, rising to $1. Batch/Flex input/output are $0.375/$1.875, rising to $0.75/$3.75. Priority $1.35/$6.75, rising to $2.70/$13.50. Grounding tools have separate charges and quotas; free-tier limits differ from paid.

Publisher evidence

Published benchmark results

Each result keeps its source date visible. Dates refer to source publication or capture unless the source explicitly states when it measured the result. A missing benchmark is not treated as a zero.

Published benchmark results for Gemini 3.7 Flash
BenchmarkScoreSource dateSource
Terminal-Bench 2.185.8%2026-08Google DeepMind model evaluation report (vendor, Terminus 2 harness) · View source
DeepSWE 1.165.3%2026-08Google DeepMind model evaluation report (vendor, mini-swe-agent, high thinking) · View source
HLE-VerifiedFull 1,811-item verified/revised set; differs from original HLE and AA text-only HLE53.6%2026-08Google DeepMind model evaluation report (vendor; full 1,811-item HLE-Verified set) · View source

Best for

  • High-volume multimodal
  • Agent loops
  • Cost-sensitive work

Watch out

Intro rates and cache storage double January 1, 2027. Minimal thinking errors; computer use is Preview. Measure accepted-task costs and token use before switching to the newer 3.8 rather than assuming uniform savings or quality.

History

Gemini 3.7 Flash timeline

Release and status events for this model that passed two-source verification — dated, sourced, and linked.

  • Gemini 3.7 FlashGeneral availabilityAugust 13, 2026

    GA Flash workhorse for coding and agents. API id `gemini-3.7-flash`. Introductory paid rates $0.75 / $3.75 per million tokens through 2026-12-31, then $1.50 / $7.50.

    Google Gemini 3.7 Flash announcement

Source receipts

Catalog figures for this model were checked against the following sources.

Common questions

Gemini 3.7 Flash

Answered from the verified figures on this page rather than general guidance.

How much does Gemini 3.7 Flash cost per million tokens?
Gemini 3.7 Flash lists base rates of $0.75 per million input tokens and $3.75 per million output tokens. Estimate both input and output token volume and any additional charges for your workload. Intro Standard $0.75/$3.75 per MTok through December 31, 2026; $1.50/$7.50 from January 1, 2027. Output includes thinking tokens. Cached input $0.075, rising to $0.15; storage $0.50/MTok-hour, rising to $1. Batch/Flex input/output are $0.375/$1.875, rising to $0.75/$3.75. Priority $1.35/$6.75, rising to $2.70/$13.50. Grounding tools have separate charges and quotas; free-tier limits differ from paid.
What is Gemini 3.7 Flash's context window?
Gemini 3.7 Flash accepts about 1.05M tokens of context. That only matters if you routinely send very long documents, large codebases, or multi-turn histories that approach that limit.
What is Gemini 3.7 Flash best for?
Gemini 3.7 Flash is a budget tier from Google. It suits high-volume multimodal, agent loops, cost-sensitive work. Intro rates and cache storage double January 1, 2027. Minimal thinking errors; computer use is Preview. Measure accepted-task costs and token use before switching to the newer 3.8 rather than assuming uniform savings or quality.