---
title: "Qwen2.5-Coder-3B-Instruct Cost Calculator - Nscale"
description: "Calculate the cost of using Qwen2.5-Coder-3B-Instruct from Nscale. Input costs $0.01 and output $0.03 per 1M tokens."
url: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale/model/qwen2.5-coder-3b-instruct"
markdown: "https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale/model/qwen2.5-coder-3b-instruct.md"
---

# Qwen2.5-Coder-3B-Instruct Cost Calculator - Nscale

> Calculate the cost of using Qwen2.5-Coder-3B-Instruct from Nscale. Input costs $0.01 and output $0.03 per 1M tokens.

## Important Links

- [View MCP Gateway](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources/mcp-gateway.md)
- [Features](https://maxim-root-proxy-preview.getmaxim.workers.dev/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 Qwen2.5-Coder-3B-Instruct

Qwen2.5-Coder-3B-Instruct is a chat model from Nscale, one of 14 chat models they offer. It is priced at $0.01 per 1M input tokens and $0.03 per 1M output tokens, ranking 2 out of 3254 chat models by cost and cheaper than 100% of models in this category.

## Pricing

Published Nscale pricing for Qwen2.5-Coder-3B-Instruct.

- **$0.01 / 1M tokens Input.**
- **$0.03 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**

## How Pricing Compares

At $0.01 per 1M input tokens and $0.03 per 1M output tokens, Qwen2.5-Coder-3B-Instruct ranks 2 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 100% of models in this category.

| Model | Provider | Input $/1M | Output $/1M | vs Qwen2.5-Coder-3B-Instruct |
| --- | --- | --- | --- | --- |
| Qwen2.5-Coder-7B | Nebius | $0.01 | $0.03 | 0% |
| Qwen3-235B-A22B-Instruct-2507 | Wandb | $0.01 | $0.01 | 0% |
| Qwen3-235B-A22B-Thinking-2507 | Wandb | $0.01 | $0.01 | 0% |
| Phi-4-mini-instruct | Wandb | $0.0080 | $0.04 | -20% |
| Qwen2.5-Coder-7B-Instruct | Hugging Face | $0.01 | $0.03 | 0% |

## More from Nscale

- [Qwen2.5-Coder-7B-Instruct ($0.01/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale/model/qwen2.5-coder-7b-instruct.md)
- [DeepSeek-R1-Distill-Llama-8B ($0.02/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale/model/deepseek-r1-distill-llama-8b.md)
- [Llama-3.1-8B-Instruct ($0.03/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale/model/llama-3.1-8b-instruct.md)
- [Qwen2.5-Coder-32B-Instruct ($0.06/1M input)](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale/model/qwen2.5-coder-32b-instruct.md)

## Related Resources

- [All Nscale pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale.md)

## FAQ

### Is Qwen2.5-Coder-3B-Instruct cheaper than Qwen2.5-Coder-7B?

No. Qwen2.5-Coder-3B-Instruct costs $0.01 per 1M input tokens while Qwen2.5-Coder-7B costs $0.01 per 1M input tokens, making Qwen2.5-Coder-7B 0% more affordable for input. However, Qwen2.5-Coder-3B-Instruct may offer different capabilities or performance characteristics that justify the price difference.

### How does Qwen2.5-Coder-3B-Instruct pricing compare to the average chat model?

Qwen2.5-Coder-3B-Instruct input pricing is $0.01 per 1M tokens, which is 98% below the median of $0.52 for chat models. It ranks 2 out of 3254 chat models by input cost, making it cheaper than 100% of models in this category. For output, it costs $0.03 per 1M tokens compared to the median of $1.50.

### What makes Qwen2.5-Coder-3B-Instruct different from other Nscale models?

Among Nscale's 14 chat models, Qwen2.5-Coder-3B-Instruct ranks 1 by input cost.

### What are the best alternatives to Qwen2.5-Coder-3B-Instruct?

The most comparable chat models to Qwen2.5-Coder-3B-Instruct are: Qwen2.5-Coder-7B from Nebius ($0.01/1M input tokens); Qwen3-235B-A22B-Instruct-2507 from Wandb ($0.01/1M input tokens); Qwen3-235B-A22B-Thinking-2507 from Wandb ($0.01/1M input tokens); Phi-4-mini-instruct from Wandb ($0.0080/1M 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 Qwen2.5-Coder-3B-Instruct costs?

Qwen2.5-Coder-3B-Instruct 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 $0.01 and generating 1M output tokens costs $0.03.

## Related Resources

- [All Nscale pricing](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale.md)
- [LLM cost calculator](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator.md)
- [Model library](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/model-library.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://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/resources.md)

---

*This is a markdown version of [https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale/model/qwen2.5-coder-3b-instruct](https://maxim-root-proxy-preview.getmaxim.workers.dev/bifrost/llm-cost-calculator/provider/nscale/model/qwen2.5-coder-3b-instruct) for AI/LLM consumption.*