---
title: "Llama-3.3-70B-Instruct-Turbo Cost Calculator - DeepInfra"
description: "Calculate the cost of using Llama-3.3-70B-Instruct-Turbo from DeepInfra. Input costs $0.10 and output $0.32 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/llama-3.3-70b-instruct-turbo"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/llama-3.3-70b-instruct-turbo.md"
---

# Llama-3.3-70B-Instruct-Turbo Cost Calculator - DeepInfra

> Calculate the cost of using Llama-3.3-70B-Instruct-Turbo from DeepInfra. Input costs $0.10 and output $0.32 per 1M tokens.

## 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/bifrost/enterprise)
- [Pricing](https://www.getmaxim.ai/bifrost/pricing.md)
- [Docs](https://docs.getbifrost.ai)
- [GitHub](https://github.com/maximhq/bifrost)
- [Book a Demo](https://www.getmaxim.ai/bifrost/book-a-demo)

## About Llama-3.3-70B-Instruct-Turbo

Llama-3.3-70B-Instruct-Turbo is a chat model from DeepInfra, one of 68 chat models they offer. It is priced at $0.10 per 1M input tokens and $0.32 per 1M output tokens, ranking 303 out of 2912 chat models by cost and cheaper than 86% of models in this category. Llama-3.3-70B-Instruct-Turbo supports function calling. It accepts up to 131K input tokens.

## Pricing

Published DeepInfra pricing for Llama-3.3-70B-Instruct-Turbo.

- **$0.10 / 1M tokens Input.**
- **$0.32 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **131,072 Max Input Tokens.**
- **131,072 Max Output Tokens.**
- **131,072 Max Tokens.**

## Model Capabilities

Llama-3.3-70B-Instruct-Turbo supports: Function Calling, Tool Choice.

## How Pricing Compares

At $0.10 per 1M input tokens and $0.32 per 1M output tokens, Llama-3.3-70B-Instruct-Turbo ranks 303 out of 2912 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 86% of models in this category.

Llama-3.3-70B-Instruct-Turbo is one of 68 DeepInfra chat models, with support for function calling.

| Model | Provider | Input $/1M | Output $/1M | vs Llama-3.3-70B-Instruct-Turbo |
| --- | --- | --- | --- | --- |
| gpt-4.1-nano | Azure | $0.10 | $0.40 | 0% |
| gpt-4.1-nano-2025-04-14 | Azure | $0.10 | $0.40 | 0% |
| Phi-4 | Azure | $0.13 | $0.50 | +25% |
| Phi-4-multimodal-instruct | Azure | $0.08 | $0.32 | -20% |
| Phi-4-reasoning | Azure | $0.13 | $0.50 | +25% |

## More from DeepInfra

- [gemini-2.0-flash-001 ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/gemini-2.0-flash-001.md)
- [Llama-3.3-70B-Instruct ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/llama-3.3-70b-instruct.md)
- [Llama-3.3-Nemotron-Super-49B-v1.5 ($0.10/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/llama-3.3-nemotron-super-49b-v1.5.md)
- [Qwen3-30B-A3B ($0.09/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/qwen3-30b-a3b.md)

## Related Resources

- [All DeepInfra pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra.md)

## FAQ

### Is Llama-3.3-70B-Instruct-Turbo cheaper than gpt-4.1-nano?

No. Llama-3.3-70B-Instruct-Turbo costs $0.10 per 1M input tokens while gpt-4.1-nano costs $0.10 per 1M input tokens, making gpt-4.1-nano 0% more affordable for input. However, Llama-3.3-70B-Instruct-Turbo may offer different capabilities or performance characteristics that justify the price difference.

### How does Llama-3.3-70B-Instruct-Turbo pricing compare to the average chat model?

Llama-3.3-70B-Instruct-Turbo input pricing is $0.10 per 1M tokens, which is 82% below the median of $0.55 for chat models. It ranks 303 out of 2912 chat models by input cost, making it cheaper than 86% of models in this category. For output, it costs $0.32 per 1M tokens compared to the median of $1.50.

### What makes Llama-3.3-70B-Instruct-Turbo different from other DeepInfra models?

Among DeepInfra's 68 chat models, Llama-3.3-70B-Instruct-Turbo ranks 25 by input cost.

### What are the best alternatives to Llama-3.3-70B-Instruct-Turbo?

The most comparable chat models to Llama-3.3-70B-Instruct-Turbo are: gpt-4.1-nano from Azure ($0.10/1M input tokens); gpt-4.1-nano-2025-04-14 from Azure ($0.10/1M input tokens); Phi-4 from Azure ($0.13/1M input tokens); Phi-4-multimodal-instruct from Azure ($0.08/1M 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 Llama-3.3-70B-Instruct-Turbo costs?

Llama-3.3-70B-Instruct-Turbo 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 $0.10 and generating 1M output tokens costs $0.32.

## Related Resources

- [All DeepInfra pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra.md)
- [LLM cost calculator](https://www.getmaxim.ai/bifrost/llm-cost-calculator.md)
- [Model library](https://www.getmaxim.ai/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/bifrost/pricing.md)
- [Enterprise: Bifrost enterprise](https://www.getmaxim.ai/bifrost/enterprise)
- [Book a Demo: Bifrost demo](https://www.getmaxim.ai/bifrost/book-a-demo)
- [Resources: Bifrost resources](https://www.getmaxim.ai/bifrost/resources.md)

---

*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/llama-3.3-70b-instruct-turbo](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/deepinfra/model/llama-3.3-70b-instruct-turbo) for AI/LLM consumption.*
