---
title: "google:gemini@3.7-flash - Model Details & Comparison"
description: "google:gemini@3.7-flash from Runware: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/runware/google-gemini-3.7-flash"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/runware/google-gemini-3.7-flash.md"
---

# google:gemini@3.7-flash - Model Details & Comparison

> google:gemini@3.7-flash from Runware: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
- [Features](https://www.getmaxim.ai/bifrost/#features)
- [Enterprise](https://www.getmaxim.ai/enterprise)
- [Pricing](https://www.getmaxim.ai/pricing)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/book-a-demo)

## About google:gemini@3.7-flash

google:gemini@3.7-flash is a chat model from Runware, one of 3 chat models they offer. It is priced at $0.75 per 1M input tokens and $3.75 per 1M output tokens, ranking 2096 out of 3648 chat models by cost and cheaper than 43% of models in this category.

## Specifications

- **Runware Provider.**
- **Chat Mode.**
- **$0.75 / 1M tokens Input Price.**
- **$3.75 / 1M tokens Output Price.**

## google:gemini@3.7-flash Pricing Overview

At $0.75 per 1M input tokens and $3.75 per 1M output tokens, google:gemini@3.7-flash ranks 2096 out of 3648 chat models by input cost. It is more expensive compared to the median of $0.57 for chat models, and is cheaper than 43% of models in this category.

## Models to Compare

Alternatives to google:gemini@3.7-flash with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| amazon.nova-pro-v1:0 | AWS Bedrock | $0.80 | $3.20 |
| anthropic.claude-3-5-haiku-20241022-v1:0 | AWS Bedrock | $0.80 | $4.00 |
| anthropic.claude-instant-v1 | AWS Bedrock | $0.80 | $2.40 |
| Mixtral-8x22B-Instruct-v0.1 | Anyscale | $0.90 | $0.90 |
| apac.amazon.nova-pro-v1:0 | AWS Bedrock | $0.84 | $3.36 |

- [Compare amazon.nova-pro-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/amazon.nova-pro-v1-0.md)
- [Compare anthropic.claude-3-5-haiku-20241022-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/anthropic.claude-3-5-haiku-20241022-v1-0.md)
- [Compare anthropic.claude-instant-v1](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/anthropic.claude-instant-v1.md)
- [Compare Mixtral-8x22B-Instruct-v0.1](https://www.getmaxim.ai/bifrost/model-library/compare/anyscale/mixtral-8x22b-instruct-v0.1.md)
- [Compare apac.amazon.nova-pro-v1:0](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock/apac.amazon.nova-pro-v1-0.md)

## Related Resources

- [Calculate google:gemini@3.7-flash costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/runware/model/google-gemini-3.7-flash.md)
- [All Runware pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/runware.md)

## FAQ

### Is google:gemini@3.7-flash cheaper than amazon.nova-pro-v1:0?

Yes. google:gemini@3.7-flash costs $0.75 per 1M input tokens compared to amazon.nova-pro-v1:0's $0.80 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.

### How does google:gemini@3.7-flash pricing compare to the average chat model?

google:gemini@3.7-flash input pricing is $0.75 per 1M tokens, which is 32% above the median of $0.57 for chat models. It ranks 2096 out of 3648 chat models by input cost, making it cheaper than 43% of models in this category. For output, it costs $3.75 per 1M tokens compared to the median of $1.65.

### What makes google:gemini@3.7-flash different from other Runware models?

Among Runware's 3 chat models, google:gemini@3.7-flash ranks 3 by input cost.

### What are the best alternatives to google:gemini@3.7-flash?

The most comparable chat models to google:gemini@3.7-flash are: amazon.nova-pro-v1:0 from AWS Bedrock ($0.80/1M input tokens); anthropic.claude-3-5-haiku-20241022-v1:0 from AWS Bedrock ($0.80/1M input tokens); anthropic.claude-instant-v1 from AWS Bedrock ($0.80/1M input tokens); Mixtral-8x22B-Instruct-v0.1 from Anyscale ($0.90/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.

### How do I calculate google:gemini@3.7-flash costs?

google:gemini@3.7-flash is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.75 and generating 1M output tokens costs $3.75.

## Related Resources

- [Runware models](https://www.getmaxim.ai/bifrost/model-library/provider/runware.md)
- [Model library](https://www.getmaxim.ai/bifrost/model-library.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Docs: Bifrost docs](https://docs.getbifrost.ai)
- [GitHub: maximhq/bifrost](https://github.com/maximhq/bifrost)
- [Pricing: Bifrost pricing](https://www.getmaxim.ai/pricing)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/runware/google-gemini-3.7-flash](https://www.getmaxim.ai/bifrost/model-library/compare/runware/google-gemini-3.7-flash) for AI/LLM consumption.*