Last refreshed 2026-10-26. Next refresh: weekly.
Why use GPT-6.1 Sol on AWS Bedrock?
AWS Bedrock offers GPT-6.1 Sol with pay-as-you-go pricing at $2.20/1M 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 Sol across 4 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-sol",openai.gpt-6.1-solRequest 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-sol",
messages=[{
"role": "user",
"content": [{"text": "Hello"}]
}]
)
print(response["output"]["message"]["content"][0]["text"])Gotchas
- Use provider model ID "openai.gpt-6.1-sol", not the LLMReference slug "gpt-6.1-sol".
- 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 Sol Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenAI API | $2.00 | $10.00 |
| Azure OpenAI | $2.00 | $10.00 |
| OpenRouter | $2.00 | $10.00 |
| AWS Bedrock | $2.20 | $11.00 |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $2.20 |
| Output tokens | $11.00 |
Capabilities
About GPT-6.1 Sol
OpenAI GPT-6.1 Sol (API id gpt-6.1-sol), announced September 29, 2026, upgrades GPT-6 Sol toward near-Astra intelligence for complex coding, computer use, and professional work at one-fifth of Astra's standard input/output token prices. First-party docs: 1,050,000 context, 128,000 max output, knowledge cutoff Apr 30, 2026, text+image input to text output. Standard short-context list $2 input / $0.10 cached input / $2.50 cache writes / $10 output per 1M tokens (cached input 50% below GPT-6 Sol's $0.20). >272K input: 2x input/cache and 1.5x output. Batch/Flex 50% of Standard; Fast mode 2x. reasoning.effort low/medium/high/xhigh/max (none/minimal not supported).