---
title: "Meta-Llama-3_3-70B-Instruct Cost Calculator - Ovhcloud"
description: "Calculate the cost of using Meta-Llama-3_3-70B-Instruct from Ovhcloud. Input costs $0.74 and output $0.74 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud/model/meta-llama-3_3-70b-instruct"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud/model/meta-llama-3_3-70b-instruct.md"
---

# Meta-Llama-3_3-70B-Instruct Cost Calculator - Ovhcloud

> Calculate the cost of using Meta-Llama-3_3-70B-Instruct from Ovhcloud. Input costs $0.74 and output $0.74 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/bifrost/resources/mcp-gateway.md)
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- [Enterprise](https://www.getmaxim.ai/bifrost/enterprise)
- [Pricing](https://www.getmaxim.ai/bifrost/pricing.md)
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- [GitHub](https://github.com/maximhq/bifrost)
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## About Meta-Llama-3_3-70B-Instruct

Meta-Llama-3_3-70B-Instruct is a chat model from Ovhcloud, one of 15 chat models they offer. It is priced at $0.74 per 1M input tokens and $0.74 per 1M output tokens, ranking 1667 out of 2912 chat models by cost and cheaper than 43% of models in this category. Meta-Llama-3_3-70B-Instruct supports function calling, structured output. It accepts up to 131K input tokens.

## Pricing

Published Ovhcloud pricing for Meta-Llama-3_3-70B-Instruct.

- **$0.74 / 1M tokens Input.**
- **$0.74 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **131,000 Max Input Tokens.**
- **131,000 Max Output Tokens.**
- **131,000 Max Tokens.**

## Model Capabilities

Meta-Llama-3_3-70B-Instruct supports: Function Calling, Response Schema, Tool Choice.

## How Pricing Compares

At $0.74 per 1M input tokens and $0.74 per 1M output tokens, Meta-Llama-3_3-70B-Instruct ranks 1667 out of 2912 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 43% of models in this category.

Meta-Llama-3_3-70B-Instruct is one of 15 Ovhcloud chat models, with support for function calling, structured output.

| Model | Provider | Input $/1M | Output $/1M | vs Meta-Llama-3_3-70B-Instruct |
| --- | --- | --- | --- | --- |
| amazon.nova-pro-v1:0 | AWS Bedrock | $0.80 | $3.20 | +8% |
| anthropic.claude-3-5-haiku-20241022-v1:0 | AWS Bedrock | $0.80 | $4.00 | +8% |
| apac.amazon.nova-pro-v1:0 | AWS Bedrock | $0.84 | $3.36 | +14% |
| gpt-5.4-mini | Azure | $0.75 | $4.50 | +1% |
| gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | +1% |

## More from Ovhcloud

- [DeepSeek-R1-Distill-Llama-70B ($0.67/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud/model/deepseek-r1-distill-llama-70b.md)
- [Meta-Llama-3_1-70B-Instruct ($0.67/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud/model/meta-llama-3_1-70b-instruct.md)
- [Mixtral-8x7B-Instruct-v0.1 ($0.63/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud/model/mixtral-8x7b-instruct-v0.1.md)
- [Qwen2.5-Coder-32B-Instruct ($0.87/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud/model/qwen2.5-coder-32b-instruct.md)

## Related Resources

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

## FAQ

### Is Meta-Llama-3_3-70B-Instruct cheaper than amazon.nova-pro-v1:0?

Yes. Meta-Llama-3_3-70B-Instruct costs $0.74 per 1M input tokens compared to amazon.nova-pro-v1:0's $0.80 per 1M input tokens, making it 8% more affordable. Both are chat models and share support for vision, function calling, prompt caching, structured output.

### How does Meta-Llama-3_3-70B-Instruct pricing compare to the average chat model?

Meta-Llama-3_3-70B-Instruct input pricing is $0.74 per 1M tokens, which is 35% above the median of $0.55 for chat models. It ranks 1667 out of 2912 chat models by input cost, making it cheaper than 43% of models in this category. For output, it costs $0.74 per 1M tokens compared to the median of $1.50.

### What makes Meta-Llama-3_3-70B-Instruct different from other Ovhcloud models?

Among Ovhcloud's 15 chat models, Meta-Llama-3_3-70B-Instruct ranks 13 by input cost.

### What are the best alternatives to Meta-Llama-3_3-70B-Instruct?

The most comparable chat models to Meta-Llama-3_3-70B-Instruct 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); apac.amazon.nova-pro-v1:0 from AWS Bedrock ($0.84/1M input tokens); gpt-5.4-mini from Azure ($0.75/1M 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 Meta-Llama-3_3-70B-Instruct costs?

Meta-Llama-3_3-70B-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 $0.74 and generating 1M output tokens costs $0.74.

## Related Resources

- [All Ovhcloud pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud.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)

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*This is a markdown version of [https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud/model/meta-llama-3_3-70b-instruct](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/ovhcloud/model/meta-llama-3_3-70b-instruct) for AI/LLM consumption.*
