Databricks Gpt 5 1
Context window
This model accepts 272K tokens in one request (~204K words of text).
What fits in one request
- FitsShort documentAbout 1,500 words of text
- FitsLong documentAbout 37K words of text
- FitsSmall codebaseAbout 150K words of text
- Won't fitFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 272,000 tokens (272K)
- Max output tokens
- 128,000 tokens (128K)
- Speed tier
- balanced
- Provider
- Openai
- Input cost
- $1.25/M / 1M tokens
- Output cost
- $10.00/M / 1M tokens
Capabilities
See which features this model supports, such as vision, tools, and streaming.
- Streaming
- Returns tokens as they are generated
- Supported
- Vision
- Accepts image inputs alongside text
- Not supported
- Tool use
- Can call external tools and APIs
- Not supported
- Function calling
- Structured function call interface
- Not supported
- Extended thinking
- Shows its chain-of-thought reasoning
- Not supported
- Web search
- Can browse the web during a request
- Not supported
- Batch API
- Process many requests asynchronously
- Not supported
- Prompt caching
- Reuse repeated prompt prefixes cheaply
- Not supported
Best for
Jump to a guide or ranking that matches each workload.
Compare Databricks Gpt 5 1
Open a side-by-side comparison with one click.
- Databricks Gpt 5 1 vs Amazon Titan Text Express
Databricks Gpt 5 1 has 547% larger context window
- Databricks Gpt 5 1 vs Amazon Titan Text Lite
Databricks Gpt 5 1 has 547% larger context window
- Databricks Gpt 5 1 vs Amazon Titan Text Premier
Databricks Gpt 5 1 has 547% larger context window
- Databricks Gpt 5 1 vs Claude Instant
Databricks Gpt 5 1 has 172% larger context window
- Databricks Gpt 5 1 vs Anthropic Claude
Databricks Gpt 5 1 has 172% larger context window
- Databricks Gpt 5 1 vs Codellama 34b Instruct
Databricks Gpt 5 1 has 6540% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
More from Openai
Other models by Openai in our catalog.
Powered by Mem0
Use a smaller model.
Get better results.
Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.
Example: a multi-turn chat session
80% less to send — works with any model