Databricks Gemini 2 5 Pro
Context window
This model accepts 1.0M tokens in one request (~786K 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
- FitsFull novelAbout 375K words of text
Specifications
Context size, pricing, and release info in one place.
- Context window
- 1,048,576 tokens (1.0M)
- Max output tokens
- 65,536 tokens (66K)
- Speed tier
- fast
- Provider
- Model family
- Gemini 2
- 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.
- Tool use
- Can call external tools and APIs
- Supported
- Function calling
- Structured function call interface
- Supported
- Streaming
- Returns tokens as they are generated
- Supported
- Vision
- Accepts image inputs alongside text
- 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 Gemini 2 5 Pro
Open a side-by-side comparison with one click.
- Databricks Gemini 2 5 Pro vs Gemma 7b It
Databricks Gemini 2 5 Pro has 12700% larger context window
- Databricks Gemini 2 5 Pro vs Amazon Titan Text Express
Databricks Gemini 2 5 Pro has 2396% larger context window
- Databricks Gemini 2 5 Pro vs Amazon Titan Text Lite
Databricks Gemini 2 5 Pro has 2396% larger context window
- Databricks Gemini 2 5 Pro vs Amazon Titan Text Premier
Databricks Gemini 2 5 Pro has 2396% larger context window
- Databricks Gemini 2 5 Pro vs Claude Instant
Databricks Gemini 2 5 Pro has 948% larger context window
- Databricks Gemini 2 5 Pro vs Anthropic Claude
Databricks Gemini 2 5 Pro has 948% larger context window
Frequently asked questions
Short answers about context size and how this model behaves.
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