---
title: "qwen3.7-flash - Model Details & Comparison"
description: "qwen3.7-flash from Kyma: capabilities, context limits, pricing, and side-by-side comparisons with alternative models."
url: "https://www.getmaxim.ai/bifrost/model-library/compare/kyma/qwen3.7-flash"
markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/kyma/qwen3.7-flash.md"
---

# qwen3.7-flash - Model Details & Comparison

> qwen3.7-flash from Kyma: capabilities, context limits, pricing, and side-by-side comparisons with alternative models.

## Important Links

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

## About qwen3.7-flash

qwen3.7-flash is a chat model from Kyma, one of 83 chat models they offer. It is priced at $0.04 per 1M input tokens and $0.19 per 1M output tokens, ranking 115 out of 4042 chat models by cost and cheaper than 97% of models in this category. qwen3.7-flash supports vision, function calling, reasoning, prompt caching, structured output. Its 1,000K-token context window is in the top 28% among chat models.

## Specifications

- **Kyma Provider.**
- **Chat Mode.**
- **1,000,000 Max Input Tokens.**
- **8,192 Max Output Tokens.**
- **$0.04 / 1M tokens Input Price.**
- **$0.19 / 1M tokens Output Price.**

## Capabilities

qwen3.7-flash supports: Function Calling, Vision, Reasoning, Prompt Caching, Response Schema.

## qwen3.7-flash Pricing Overview

At $0.04 per 1M input tokens and $0.19 per 1M output tokens, qwen3.7-flash ranks 115 out of 4042 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 97% of models in this category.

qwen3.7-flash is one of 83 Kyma chat models, with support for vision, function calling, reasoning, prompt caching, structured output. its 1,000K-token context window places it in the top 28% of chat models.

## Models to Compare

Alternatives to qwen3.7-flash with comparable capabilities.

| Model | Provider | Input $/1M | Output $/1M |
| --- | --- | --- | --- |
| gpt-5-nano | Azure | $0.05 | $0.40 |
| gpt-5-nano-2025-08-07 | Azure | $0.05 | $0.40 |
| Qwen3.6-35B-A3B | Sail | $0.05 | $0.40 |
| gpt-5-nano | OpenAI | $0.05 | $0.40 |
| gpt-5-nano-2025-08-07 | OpenAI | $0.05 | $0.40 |

- [Compare gpt-5-nano](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5-nano.md)
- [Compare gpt-5-nano-2025-08-07](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5-nano-2025-08-07.md)
- [Compare gpt-5-nano](https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-5-nano.md)
- [Compare gpt-5-nano-2025-08-07](https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-5-nano-2025-08-07.md)

## Related Resources

- [Calculate qwen3.7-flash costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/kyma/model/qwen3.7-flash.md)
- [All Kyma pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/kyma.md)

## FAQ

### Is qwen3.7-flash cheaper than gpt-5-nano?

Yes. qwen3.7-flash costs $0.04 per 1M input tokens compared to gpt-5-nano's $0.05 per 1M input tokens, making it 15% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

### How does qwen3.7-flash pricing compare to the average chat model?

qwen3.7-flash input pricing is $0.04 per 1M tokens, which is 93% below the median of $0.60 for chat models. It ranks 115 out of 4042 chat models by input cost, making it cheaper than 97% of models in this category. For output, it costs $0.19 per 1M tokens compared to the median of $1.80.

### What makes qwen3.7-flash different from other Kyma models?

Among Kyma's 83 chat models, qwen3.7-flash ranks 1 by input cost.

### What are the best alternatives to qwen3.7-flash?

The most comparable chat models to qwen3.7-flash are: gpt-5-nano from Azure ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.05/1M input tokens); Qwen3.6-35B-A3B from Sail ($0.05/1M input tokens); gpt-5-nano from OpenAI ($0.05/1M 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 large is qwen3.7-flash's context window?

qwen3.7-flash supports up to 1,000,000 input tokens, placing it in the top 28% of chat models by context window size (rank 994 of 4003). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

### How do I calculate qwen3.7-flash costs?

qwen3.7-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 $0.04 and generating 1M output tokens costs $0.19.

## Related Resources

- [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.md)
- [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/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/model-library/compare/kyma/qwen3.7-flash](https://www.getmaxim.ai/bifrost/model-library/compare/kyma/qwen3.7-flash) for AI/LLM consumption.*