---
title: "global.openai.gpt-6.1-terra Cost Calculator - AWS Bedrock"
description: "Calculate the cost of using global.openai.gpt-6.1-terra from AWS Bedrock. Input costs $1.00 and output $5.00 per 1M tokens."
url: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/global.openai.gpt-6.1-terra"
markdown: "https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/global.openai.gpt-6.1-terra.md"
---

# global.openai.gpt-6.1-terra Cost Calculator - AWS Bedrock

> Calculate the cost of using global.openai.gpt-6.1-terra from AWS Bedrock. Input costs $1.00 and output $5.00 per 1M tokens.

## Important Links

- [View MCP Gateway](https://www.getmaxim.ai/resources/mcp-gateway.md)
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## About global.openai.gpt-6.1-terra

global.openai.gpt-6.1-terra is a chat model from AWS Bedrock, one of 486 chat models they offer. It is priced at $1.00 per 1M input tokens and $5.00 per 1M output tokens, ranking 2532 out of 4040 chat models by cost and cheaper than 36% of models in this category. global.openai.gpt-6.1-terra supports vision, function calling, reasoning, prompt caching. Its 922K-token context window is in the top 32% among chat models.

## Pricing

Published AWS Bedrock pricing for global.openai.gpt-6.1-terra.

- **$1.00 / 1M tokens Input.**
- **$5.00 / 1M tokens Output.**

## Technical Specifications

- **Chat Mode.**
- **922,000 Max Input Tokens.**
- **128,000 Max Output Tokens.**

## Model Capabilities

global.openai.gpt-6.1-terra supports: Function Calling, Vision, Reasoning, Prompt Caching, Tool Choice.

## How Pricing Compares

At $1.00 per 1M input tokens and $5.00 per 1M output tokens, global.openai.gpt-6.1-terra ranks 2532 out of 4040 chat models by input cost. It is more expensive compared to the median of $0.60 for chat models, and is cheaper than 36% of models in this category.

global.openai.gpt-6.1-terra is one of 486 AWS Bedrock chat models, with support for vision, function calling, reasoning, prompt caching. its 922K-token context window places it in the top 32% of chat models.

| Model | Provider | Input $/1M | Output $/1M | vs global.openai.gpt-6.1-terra |
| --- | --- | --- | --- | --- |
| abliterated-model | Abliteration | $1.00 | $3.00 | 0% |
| abliterated-model-large-flash | Abliteration | $1.00 | $2.00 | 0% |
| claude-haiku-4-5 | Azure | $1.00 | $5.00 | 0% |
| gpt-6.1-terra | Azure | $1.00 | $5.00 | 0% |
| o4-mini | Azure | $1.10 | $4.40 | +10% |

## More from AWS Bedrock

- [anthropic.claude-haiku-4-5-20251001-v1:0 ($1.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/anthropic.claude-haiku-4-5-20251001-v1-0.md)
- [anthropic.claude-haiku-4-5@20251001 ($1.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/anthropic.claude-haiku-4-5-20251001.md)
- [cohere.command-text-v14 ($1.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/cohere.command-text-v14.md)
- [global.anthropic.claude-haiku-4-5-20251001-v1:0 ($1.00/1M input)](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/global.anthropic.claude-haiku-4-5-20251001-v1-0.md)

## Related Resources

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

## FAQ

### Is global.openai.gpt-6.1-terra cheaper than abliterated-model?

No. global.openai.gpt-6.1-terra costs $1.00 per 1M input tokens while abliterated-model costs $1.00 per 1M input tokens, making abliterated-model 0% more affordable for input. However, global.openai.gpt-6.1-terra may offer different capabilities or performance characteristics that justify the price difference.

### How does global.openai.gpt-6.1-terra pricing compare to the average chat model?

global.openai.gpt-6.1-terra input pricing is $1.00 per 1M tokens, which is 67% above the median of $0.60 for chat models. It ranks 2532 out of 4040 chat models by input cost, making it cheaper than 36% of models in this category. For output, it costs $5.00 per 1M tokens compared to the median of $1.80.

### What makes global.openai.gpt-6.1-terra different from other AWS Bedrock models?

Among AWS Bedrock's 486 chat models, global.openai.gpt-6.1-terra ranks 247 by input cost.

### What are the best alternatives to global.openai.gpt-6.1-terra?

The most comparable chat models to global.openai.gpt-6.1-terra are: abliterated-model from Abliteration ($1.00/1M input tokens); abliterated-model-large-flash from Abliteration ($1.00/1M input tokens); claude-haiku-4-5 from Azure ($1.00/1M input tokens); gpt-6.1-terra from Azure ($1.00/1M 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 global.openai.gpt-6.1-terra costs?

global.openai.gpt-6.1-terra 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 $1.00 and generating 1M output tokens costs $5.00.

## Related Resources

- [All AWS Bedrock pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock.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/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/llm-cost-calculator/provider/bedrock/model/global.openai.gpt-6.1-terra](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock/model/global.openai.gpt-6.1-terra) for AI/LLM consumption.*