Google: Gemini 3.7 Flash (batch)

Google: Gemini 3.7 Flash (batch)

google · Released Aug 13, 2026 NEW
Intelligence #280 / 743
35.3 our score
Speed
Not reported
Input Price #425 / 748
$0.375 per 1M tokens
Output Price #455 / 748
$1.88 per 1M tokens
Context #42 / 748
1M tokens

Analysis Summary

Gemini 3.7 Flash is Google's fast, multimodal Flash variant, with support for text, images, files, audio, and video, plus a context window of roughly 1M tokens. Function calling and tool use make it suitable for structured automation, while the low listed pricing supports frequent requests and large document workloads.

For an agency, the model is a practical candidate for content transformation, document extraction, SEO briefs, media-aware classification, and high-volume workflow steps. The main limitation is the absence of benchmark data for this batch variant, which prevents a confident assessment of reasoning, coding, and agent reliability. Use it for cost-sensitive production tasks where multimodal coverage matters, then validate output quality before assigning autonomous or client-facing decisions.

Assessed August 23, 2026

Editorial notes

Gemini 3.7 Flash offers multimodal input, a 1M-token context, function calling, and low-cost batch economics. Its own benchmark record is not provided here, so it is better positioned for volume workflows than high-stakes reasoning.

Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?

DFO Verdict

Gemini 3.7 Flash offers multimodal input, a 1M-token context, function calling, and low-cost batch economics. Its own benchmark record is not provided here, so it is better positioned for volume workflows than high-stakes reasoning.

#280 of 743 overall Down 8 this week

How Google: Gemini 3.7 Flash (batch) compares

Its 1M-token context window is larger than 94% of the models we list. At $0.38 per million input tokens it is cheaper than 43% of comparable models.

Position in the field
Intelligence: smarter than 62% of models #280
Price: cheaper than 43% of models #425
Context: larger than 94% of models #42
worst in fieldmedianbest in field
Price vs frontier peers · $ per 1M tokens
Google: Gemini 3.7 Flash (batch) $0.38 in $1.88 out
Claude Opus 5 $5.00 in $25.00 out
OpenAI: GPT-5.6 Sol $2.00 in $10.00 out
SpaceXAI: Grok 4.6 $2.00 in $6.00 out

Dark bar = input · light bar = output, scaled to the priciest peer.

Context window vs peers · tokens
Google: Gemini 3.7 Flash (batch) 1M

1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.

Intelligence0Technical0Value8.3Content5.8
Performance profile

Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.

Compare shapes side-by-side →

Pricing

Token Type Cost per 1M tokens Cost per 1K tokens
Input $0.38 $0.000375
Output $1.88 $0.001875

What would Google: Gemini 3.7 Flash (batch) cost your business?

Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.

A website chatbot handling around 100 customer conversations a day, a few short messages each.

3,000
One request is one message, email, draft or automation call.
1,200 tokens

$0/mo Google: Gemini 3.7 Flash (batch)

Full calculator with 748 models → Price Calculator

DFO AI AUTOMATION

These numbers get smaller with the right architecture.

We route routine calls to cheap models and save Google: Gemini 3.7 Flash (batch) for the hard ones. Most clients cut their estimate by 60-80%.

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About Google: Gemini 3.7 Flash (batch)

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..

Frequently asked questions about Google: Gemini 3.7 Flash (batch)

How much does Google: Gemini 3.7 Flash (batch) cost?

Google: Gemini 3.7 Flash (batch) costs $0.38 per million input tokens and $1.88 per million output tokens.

What is the context window of Google: Gemini 3.7 Flash (batch)?

Google: Gemini 3.7 Flash (batch) has a context window of 1,048,576 tokens (1M).

What can Google: Gemini 3.7 Flash (batch) do?

Google: Gemini 3.7 Flash (batch) supports image/vision input, tool use, and function calling.

Who created Google: Gemini 3.7 Flash (batch)?

Google: Gemini 3.7 Flash (batch) is developed by Google and was released on August 13, 2026.

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