Claude Sonnet 4.5
claude-sonnet-4-5Run Claude Sonnet 4.5 in a hosted Python Task with structured output, web search, extended thinking, file inputs and MCP connectors.
Anthropic's smart model for complex agents and coding tasks. Offers the best balance of intelligence, speed, and cost for most use cases, with exceptional performance in coding and agentic workflows.
This model retires on November 30, 2026. Plan a move to a newer model before then.
What Claude Sonnet 4.5 supports in qbash
- Structured outputReplies as JSON that matches a schema you pass.
- MCP connectorsCalls tools on MCP connectors during a request.
- Web searchSearches the web while it answers.
- Extended thinkingReasons through a problem before it replies.
- Image inputReads WEBP, PNG, JPEG and GIF images.
- Document inputReads PDF, TEXT, DOC, XLS, RTF and 7 more files.
- Prompt cachingRepeated input is billed at the cached rate.
What is qbash?
qbash is where you build Tasks: Python programs that run a business process on managed infrastructure. Your code runs the steps and calls a model like Claude Sonnet 4.5 only at the ones that need judgment, with integrations, memory and files available in the same script.
A developer writes the Task once, and anyone on the team runs it from a form, on a schedule, from a webhook or from chat. Each Task is versioned and every run is logged.
Specifications
- Context window
- 200Ktokens
- Max output
- 64,000tokens
- Temperature
- 0 to 1default 0.7
Structured output with Claude Sonnet 4.5 in a Python Task
qbash.ai.raw calls Claude Sonnet 4.5 from a Task. Pass a JSON Schema as output_schema and the reply comes back as a Python dict that matches it, ready to route to a connector.
ticket = qbash.inputs.get("ticket")
triage = qbash.ai.raw(
f"Summarize this support ticket and rate its urgency:\n\n{ticket}",
model="claude-sonnet-4-5",
output_schema={
"type": "object",
"properties": {
"summary": {"type": "string"},
"urgency": {"type": "string", "enum": ["low", "medium", "high"]},
},
"required": ["summary", "urgency"],
},
)
# triage is a dict, e.g. {"summary": "...", "urgency": "high"}
if triage["urgency"] == "high":
qbash.integrations.slack.create_message(
channel="#support",
text=triage["summary"],
)
qbash.output(triage)
Connect Claude Sonnet 4.5 to MCP servers
In qbash chat and a Task's inline prompts, you can attach MCP connectors to Claude Sonnet 4.5. It calls their tools during the request, for example to read a Postgres table or post to a Slack channel.
This is MCP on the model side. Adding MCP servers to Claude Code or Claude Desktop is a separate setup, and qbash can publish your Tasks as an MCP server for those clients as well.
Use Claude Sonnet 4.5 with web search
Turn on Web Search in an inline prompt's model bar and Claude Sonnet 4.5 searches the web while it answers. Searches are billed at $10.00 per 1,000.
Extended thinking with Claude Sonnet 4.5
Turn on Thinking in the same Settings popover to have Claude Sonnet 4.5 reason through a problem before it replies.
Claude Sonnet 4.5 pricing
| Input | $3.00 per 1M tokens |
|---|---|
| Output | $15.00 per 1M tokens |
| Cache read | $0.30 per 1M tokens |
| Cache write, 5 minutes | $3.75 per 1M tokens |
| Cache write, 1 hour | $6.00 per 1M tokens |
| Web search | $10.00 per 1K searches |
| Input, above 200K input tokens | $6.00 per 1M tokens |
| Output, above 200K input tokens | $22.50 per 1M tokens |
Standard rates in USD.
Supported file formats
Images
- WEBP up to 5 MB
- PNG up to 5 MB
- JPEG up to 5 MB
- GIF up to 5 MB
Documents
- TEXT
- DOC
- XLS
- RTF
- DOCX
- XLSX
- PPTX
- PPT
- ODT
- ODP
- ODS