Last refreshed 2026-10-26. Next refresh: weekly.
Why use GPT-6.1 Terra on AWS Bedrock?
AWS Bedrock offers GPT-6.1 Terra with pay-as-you-go pricing at $1.10/1M input tokens. AWS Bedrock is Amazon's fully managed foundation-model service, providing unified API access to top models from Anthropic, Meta, Mistral, and other leading AI labs with built-in tools for RAG, fine-tuning, and AI agent development.
Compare GPT-6.1 Terra across 5 providers to find the best fit for your use caseSetup recipe
Python + curlpip install boto3export AWS_ACCESS_KEY_ID=...import boto3
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="openai.gpt-6.1-terra",openai.gpt-6.1-terraRequest example
import boto3
# Reads AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION from env
client = boto3.client("bedrock-runtime", region_name="us-east-1")
response = client.converse(
modelId="openai.gpt-6.1-terra",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- Use provider model ID "openai.gpt-6.1-terra", not the LLMReference slug "gpt-6.1-terra".
- Use Amazon Bedrock model IDs, e.g. "anthropic.claude-3-opus-20240229-v1:0" for on-demand, or cross-region inference profile IDs like "us.anthropic.claude-opus-4-7-20251101-v1:0". These differ from the public model slug.
- The endpoint template includes a region segment; set the same region in your SDK/client configuration.
- The examples expect AWS_ACCESS_KEY_ID; rename it only if your application config maps the new variable.
Compare GPT-6.1 Terra Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenAI API | $1.00 | $5.00 |
| OpenRouter | $1.00 | $5.00 |
| Vercel AI Gateway | $1.00 | $5.00 |
| Azure OpenAI | — | — |
| AWS Bedrock | $1.10 | $5.50 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.10 |
| Output tokens | $5.50 |
Capabilities
About GPT-6.1 Terra
OpenAI GPT-6.1 Terra (API id gpt-6.1-terra), announced October 26, 2026, is the GPT-6.1 tier for fast, efficient visual reasoning, precise computer use, and clear, natural writing, positioned below GPT-6.1 Sol and GPT-6 Astra for complex coding and in-depth research. First-party docs: 1,050,000 context window (922,000 max input), 128,000 max output, knowledge cutoff Jun 1, 2026, text and image input to text output, reasoning.effort none/low/medium (default)/high/xhigh/max, function calling, structured outputs, prompt caching, Batch API, and computer use and code interpreter via Responses tools; fine-tuning not supported. Available in ChatGPT Work and Codex for Plus, Pro, Enterprise, and Edu users.