Model · Google

Google Gemini 3.7 Flash

Google Gemini 3.7 Flash is served by Google through OpenRouter. It provides 1.05M tokens of context and supports text, vision, audio, video, files inputs.

Snapshot 2026-10-16 google/gemini-3.7-flash

Context window

1.05M tokens

Input / 1M tokens

$0.750

Output / 1M tokens

$3.75

Key facts

Provider	Google
OpenRouter ID	`google/gemini-3.7-flash`
Modalities	Text, Vision, Audio, Video, Files
Best for	Multimodal, Overall, Long Context

Source openrouter.ai/api/v1/models Verified 2026-10-16 Drift-checked daily 06:00 CST

Best-fit workloads

Best overall

Strong reasoning, tooling and production reliability.

Best for long context

Large context window for documents and transcripts.

Best multimodal

Handles images, files, audio or video inputs.

Cost estimates

These examples use the 2026-10-16 input and output prices. Cache discounts, provider surcharges and tool fees are excluded.

Workload	Input	Output	Estimated cost
Quick test	20,000	5,000	$0.034
Product chat month	500,000	125,000	$0.844
Document batch	5,000,000	1,000,000	$7.50

Strengths

✓ Very broad multimodal input support
✓ Good balance of speed, price and reasoning
✓ Strong fit for media analysis and document extraction

Limitations

! Output cost is higher than open-weight models
! Model-specific file and audio limits vary by provider

OpenRouter API quickstart

Run these examples from your server or edge function. Keep the OpenRouter API key private and do not expose it in browser code.

cURL

curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemini-3.7-flash",
    "messages": [{ "role": "user", "content": "Summarize this document in five bullet points." }],
    "max_tokens": 500
  }'

JavaScript / TypeScript

const response = await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.OPENROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "google/gemini-3.7-flash",
    messages: [{ role: "user", content: "Summarize this document in five bullet points." }],
    max_tokens: 500,
  }),
});

const data = await response.json();
console.log(data.choices[0].message.content);

How to evaluate Google Gemini 3.7 Flash

Run five real tasks from your product, not generic demo prompts.
Record token usage, latency and output quality.
Estimate cost using your real input/output mix.
Compare it against one model with a similar price and one stronger model.

Compare models View on OpenRouter ↗

Google Gemini 3.7 Flash FAQ

What is Google Gemini 3.7 Flash?

Google Gemini 3.7 Flash is a Google model available through OpenRouter. It supports text, vision, audio, video, files inputs and is suited for multimodal, overall, long context workloads.

How much does Google Gemini 3.7 Flash cost on OpenRouter?

The 2026-10-16 snapshot lists $0.750 per 1M input tokens and $3.75 per 1M output tokens. Verify current pricing on OpenRouter before production.

How large is Google Gemini 3.7 Flash's context window?

Google Gemini 3.7 Flash offers 1.05M tokens of context in the current snapshot. Provider-specific limits and surcharges may apply.

Head-to-head comparisons

Qwen3.8 Flash vs Google Gemini 3.7 Flash

Qwen3.8 Flash is a strong low-cost multimodal option for image/video intake. Gemini 3.7 Flash is better when audio, files and a polished multimodal stack matter more than token cost.

Google Gemini 3.7 Flash vs Claude Sonnet 5

Gemini 3.7 Flash is better for media, files and cost-sensitive multimodal work. Claude Sonnet 5 is the safer default for production coding, technical writing and agent workflows.

Pricing and context data are based on a 2026-10-16 snapshot. Provider limits can change; always verify on OpenRouter before production.