--- title: "openai.gpt-6.1-terra - Model Details & Comparison" description: "openai.gpt-6.1-terra from Bedrock Mantle: capabilities, context limits, pricing, and side-by-side comparisons with alternative models." url: "https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/openai.gpt-6.1-terra" markdown: "https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/openai.gpt-6.1-terra.md" --- # openai.gpt-6.1-terra - Model Details & Comparison > openai.gpt-6.1-terra from Bedrock Mantle: 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 openai.gpt-6.1-terra openai.gpt-6.1-terra is a responses model from Bedrock Mantle, one of 20 responses models they offer. It is priced at $1.10 per 1M input tokens and $5.50 per 1M output tokens, ranking 39 out of 171 responses models by cost and cheaper than 77% of models in this category. openai.gpt-6.1-terra supports vision, function calling, reasoning, prompt caching, structured output. Its 922K-token context window is in the top 50% among responses models. ## Specifications - **Bedrock Mantle Provider.** - **Responses Mode.** - **922,000 Max Input Tokens.** - **128,000 Max Output Tokens.** - **$1.10 / 1M tokens Input Price.** - **$5.50 / 1M tokens Output Price.** ## Capabilities openai.gpt-6.1-terra supports: Function Calling, Vision, Reasoning, Prompt Caching, Response Schema, Tool Choice. ## openai.gpt-6.1-terra Pricing Overview At $1.10 per 1M input tokens and $5.50 per 1M output tokens, openai.gpt-6.1-terra ranks 39 out of 171 responses models by input cost. It is more affordable compared to the median of $2.00 for responses models, and is cheaper than 77% of models in this category. openai.gpt-6.1-terra is one of 20 Bedrock Mantle responses models, with support for vision, function calling, reasoning, prompt caching, structured output. its 922K-token context window places it in the top 50% of responses models. ## Models to Compare Alternatives to openai.gpt-6.1-terra with comparable capabilities. | Model | Provider | Input $/1M | Output $/1M | | --- | --- | --- | --- | | gpt-5.1-codex | Azure | $1.38 | $11.00 | | gpt-5.1-codex-2025-11-13 | Azure | $1.25 | $10.00 | | gpt-5-codex | Azure | $1.25 | $10.00 | | gpt-5.1-codex-max | Azure | $1.25 | $10.00 | | gpt-5-codex | OpenAI | $1.25 | $10.00 | - [Compare gpt-5.1-codex](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.1-codex.md) - [Compare gpt-5.1-codex-2025-11-13](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.1-codex-2025-11-13.md) - [Compare gpt-5-codex](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5-codex.md) - [Compare gpt-5.1-codex-max](https://www.getmaxim.ai/bifrost/model-library/compare/azure/gpt-5.1-codex-max.md) - [Compare gpt-5-codex](https://www.getmaxim.ai/bifrost/model-library/compare/openai/gpt-5-codex.md) ## Related Resources - [Calculate openai.gpt-6.1-terra costs](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle/model/openai.gpt-6.1-terra.md) - [All Bedrock Mantle pricing](https://www.getmaxim.ai/bifrost/llm-cost-calculator/provider/bedrock_mantle.md) ## FAQ ### Is openai.gpt-6.1-terra cheaper than gpt-5.1-codex? Yes. openai.gpt-6.1-terra costs $1.10 per 1M input tokens compared to gpt-5.1-codex's $1.38 per 1M input tokens, making it 25% more affordable. Both are responses models and share support for vision, function calling, reasoning, prompt caching, structured output. ### How does openai.gpt-6.1-terra pricing compare to the average responses model? openai.gpt-6.1-terra input pricing is $1.10 per 1M tokens, which is 45% below the median of $2.00 for responses models. It ranks 39 out of 171 responses models by input cost, making it cheaper than 77% of models in this category. For output, it costs $5.50 per 1M tokens compared to the median of $11.00. ### What makes openai.gpt-6.1-terra different from other Bedrock Mantle models? Among Bedrock Mantle's 20 responses models, openai.gpt-6.1-terra ranks 4 by input cost. ### What are the best alternatives to openai.gpt-6.1-terra? The most comparable responses models to openai.gpt-6.1-terra are: gpt-5.1-codex from Azure ($1.38/1M input tokens); gpt-5.1-codex-2025-11-13 from Azure ($1.25/1M input tokens); gpt-5-codex from Azure ($1.25/1M input tokens); gpt-5.1-codex-max from Azure ($1.25/1M 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 openai.gpt-6.1-terra costs? 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 $1.10 and generating 1M output tokens costs $5.50. ## 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/bedrock_mantle/openai.gpt-6.1-terra](https://www.getmaxim.ai/bifrost/model-library/compare/bedrock_mantle/openai.gpt-6.1-terra) for AI/LLM consumption.*