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Google: Gemini 3.7 Flash logo

Google: Gemini 3.7 Flash

Multimodal google
56.0 / 100 1M context Proprietary

About this model

Gemini 3.7 Flash is a multimodal model from Google for fast agentic workflows, coding, and complex multi-step reasoning. It is designed for tasks that require responsive performance and reliable multi-step...

Editor's note

Written for AI Agent Hub. This is separate from the publisher description above.

What problem it solves

Flash listings are the speed and cost end of a hosted family. This Gemini row is for bulk or interactive calls where Opus-class deliberation is wasted money, and where Google's API is an accepted processor.

Who it is for

People already inside Google's terms who need a fast multimodal or long-window hosted model and will check the current SKU name before they bake it into a client. The Latest alias is a pointer. This named Flash row is the one to discuss if it matches the id you call.

Who should skip it

Skip it for the hardest agent traces if your own prompt shows it giving up where a larger model continues. Skip it for data Google is not allowed to process. An open model you can serve is the alternative, with the operational cost that implies. Skip the batch row when you are measuring interactive latency.

First three steps

  1. Match the API id to this card or abandon the card. Naming drift is constant in this family.
  2. Run a short extraction you can score, and a longer prompt only if you actually have one.
  3. Compare the invoice math with one heavier model on the same day. Keep Flash if the quality holds. Deciding after a comparison says price matters after license and window, not before.

Alternatives on this site

A non-Flash Gemini row if one is listed and you measured a real gap. Claude or Qwen Max if the failure is quality on hard code rather than cost. A code category filter if you are browsing for programming focus rather than a vendor.

Questions

Does Flash mean weaker at images? Not by the nickname. Read the modality line on this card and test one image.

Is the score the reason to switch? No. A measured prompt is the reason.

Benchmark Scores

MMMU-Pro
85.5
LiveBench
78.83
GPQA-Diamond
94.82
HLE-Verified
53.6
Context-Arena
95.95
AutomationBench
30.4
Creative-Writing
1723.2
Terminal-Bench-2.1
85.8
Terminal-Bench-3.0
14.9

Technical Specs

  • Architecture: text+image+file+audio+video->text
  • Context Window: 1,048,576 tokens
  • Input Modalities: text

Hardware Requirements

  • API-only (no local hardware needed)

Pricing

Input Output Currency
0.75 / 1M tokens 3.75 / 1M tokens USD