CrossModel
Gemini 3.7 Flash
gemini/gemini-3.7-flash
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Gemini · Model guide

Gemini 3.7 Flash

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gemini/gemini-3.7-flash

Google's most capable Flash model for complex coding, agentic workflows and reliable multi-step execution. It combines a 1M-token multimodal context, 64K output, three thinking levels and the built-in tool suite used by Gemini 3.6 Flash.

Modalities
TextImageAudioVideoText
Context
1M
Max output
66K
Price / 1M tokens
$ 0.75in$ 3.75out
StreamingTool callingJSON outputImage inputThinking mode

What this model is good at

What the vendor positions it for, and which of our models to reach for instead.

VendorGoogle's most intelligent workhorse model yet for coding and agents.source

Best for

  • Complex coding agents · Google reports substantial gains in real-world software engineering and fewer failed agent loops.(vendor claim)source

  • Design-to-code fidelity · The GA guide highlights stronger adherence when building or auditing web interfaces from design mocks.(vendor claim)source

  • Long multimodal workflows · It accepts text, images, audio and video in a 1M-token window and supports built-in tools.source

Neighbouring models
Compare them side by side →

Pricing and billing

Billed per token. Cached input is charged at the cache-read rate.

Price / 1M tokensYou pay
Input$ 0.75
Output$ 3.75
Cache read$ 0.075
Cache write$ 0.75
Estimate a request
$ 0.0150
Estimated cost per request
10.0K × $ 0.75
+ 2.0K × $ 3.75
≈ $ 15.00 per 1,000 requests

Capabilities and limits

What CrossModel guarantees across every route this model can take right now.

Context window
1.0M tokens
Max output
65.5K tokens
Input / output modalities
Text + Image + Audio + Video → Text
Streaming
Supported
Tool calling
Supported
Structured output (JSON)
Supported
Image input
Supported
Thinking mode
Supported· always on
Reasoning effort
low · medium · high
Available endpoints
/v1/chat/completions · /v1/responses · /v1/messages
First-party sources:Specsblog.google 1deepmind.google 2ai.google.dev 3Capabilitiesai.google.dev 1ai.google.dev 2

Published benchmarks

Scores the vendor reported, with the evaluation setup each one came from.

Agentic coding
  • FrontierCode v1.1 (Main)
    score·Google DeepMind · 2026-08-13setup not fully disclosed

    Production code quality evaluation.

    43.6%
  • Terminal-Bench 2.1
    pass_rate·Google DeepMind · 2026-08-13setup not fully disclosed
    85.8%
Computer use
  • OSWorld 2.0
    success_rate·Google DeepMind · 2026-08-13setup not fully disclosed
    47.9%
Knowledge work
  • GDPval-AA v2
    elo·Google DeepMind · 2026-08-13setup not fully disclosed
    1525
Long context
  • GDM-MRCR v2 (128K, 8-needle)
    accuracy·Google DeepMind · 2026-08-13setup not fully disclosed

    Average at 128K context with eight needles.

    97%
Multimodal reasoning
  • CharXiv Reasoning (no tools)
    accuracy·Google DeepMind · 2026-08-13setup not fully disclosed
    84.5%
Reasoning
  • HLE-Verified
    accuracy·Google DeepMind · 2026-08-13setup not fully disclosed
    53.6%

Vendor-reported numbers, not CrossModel measurements. Scores are only comparable when the benchmark version, metric and evaluation setup match, so nothing here is averaged or ranked.

Use it in your tools

Point the base URL at CrossModel and paste this model ID — every tool below has a setup guide.

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Open WebUI
Open-source, self-hosted AI chat interface
Continue
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See all integration guides →

Frequently asked questions

What is Gemini 3.7 Flash?
Gemini 3.7 Flash is available on CrossModel as gemini/gemini-3.7-flash. It has a 1M-token context window and can return up to 66K tokens per request.
How much does Gemini 3.7 Flash cost?
Currently $ 0.75 per 1M input tokens and $ 3.75 per 1M output tokens. Cached input is billed at $ 0.075 per 1M.
Does Gemini 3.7 Flash support tool calling and structured output?
Tool calling: Supported · Structured output (JSON): Supported · Image input: Supported · Streaming: Supported · Thinking mode: Supported
Which endpoint do I call?
For text models, OpenAI Chat Completions (/v1/chat/completions), OpenAI Responses (/v1/responses) and Anthropic Messages (/v1/messages) all work — pick whichever your SDK already speaks.
Can I try it without writing code?
Yes. Sign in and open the Playground on this page to chat with the model directly — no API key needed. Usage is billed from your wallet at the normal rate.

Chat first, integrate later

Chat first, then wire it in once you like the answers.