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databricks-gemini-2-5-pro

databricks · chat model

databricks-gemini-2-5-pro is listed here as a chat model from databricks. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$1.2500 / 1M tokens
Output
$10.0000 / 1M tokens
Cached input
N/A
Context
65.5K

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$1.2500 / 1M tokens
Output
$10.0000 / 1M tokens
Embedding
$1.2500 / 1M tokens

Token limits

Context window
65.5K
Max input tokens
1.0M
Max output tokens
65.5K
Max tokens
65.5K

Capabilities

Capability Supported
Vision
Function calling
Parallel function calling
Tool choice
Prompt caching
Reasoning
Response schema
System messages
Audio input
Audio output
Web search
PDF input
Video input

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
Humanity's Last Exam 21.6% (no tools) accuracy Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) 2026-05-31 Link
GPQA Diamond 86.4% pass@1 pass@1 Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) 2026-05-31 Link
AIME 2025 88.0% pass@1 pass@1 Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) 2026-05-31 Link
LiveCodeBench 69.0% (single attempt) accuracy Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) 2026-05-31 Link
Aider Polyglot 82.2% diff-fenced pass rate Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) 2026-05-31 Link
SWE-bench Verified 59.6% (single attempt) accuracy Base model: Gemini 2.5 Pro (Gemini 2.5 Pro (GA)) 2026-05-31 Link
Aider Polyglot 82.2% pass rate Base model: Gemini 2.5 Pro (gemini-2.5-pro) 2026-05-31 Link
SWE-bench Verified (multiple attempts) 67.2% accuracy Base model: Gemini 2.5 Pro (gemini-2.5-pro) 2026-05-31 Link
GPQA 86.4% accuracy Base model: Gemini 2.5 Pro (gemini-2.5-pro) 2026-05-31 Link
AIME 2025 88.0% accuracy Base model: Gemini 2.5 Pro (gemini-2.5-pro) 2026-05-31 Link
Aider Polyglot 79.1% percent correct Base model: Gemini 2.5 Pro Preview (gemini/gemini-2.5-pro-preview-06-05) 2026-05-31 Link
Aider Polyglot 76.9% percent correct Base model: Gemini 2.5 Pro Preview (gemini/gemini-2.5-pro-preview-05-06) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
databricks-gemini-2-5-pro
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In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
Function callingTool choice
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Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
claude-4-sonnet
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
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Function callingTool choice
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Partial I/O overlap
Overall 51%
gemini-2.5-pro
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In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
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Output: text
Function callingTool choice
1.0M
Partial I/O overlap
Overall 46%
databricks-gemini-2-5-flash
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In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
Output: unknown
Function callingTool choice
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Overall 45%
DeepSeek-R1-Turbo
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In $1.0000 / 1M tokens
Out $3.0000 / 1M tokens
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Output: text
Function callingTool choice
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Partial I/O overlap
Overall 45%
gemini-2.5-computer-use-preview-10-2025
vertex_ai-language-models
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
64.0K
Partial I/O overlap
Overall 45%
gemini-2.5-computer-use-preview-10-2025
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In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
64.0K
Partial I/O overlap
Overall 45%
databricks-claude-haiku-4-5
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In $1.0000 / 1M tokens
Out $5.0000 / 1M tokens
Output: unknown
Function callingTool choice
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Overall 44%
grok-2
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In $2.0000 / 1M tokens
Out $10.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.0K
Partial I/O overlap
Overall 43%
databricks-claude-sonnet-4
databricks
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
Function callingTool choice
64.0K
Same provider
Overall 42%
databricks-claude-sonnet-4-1
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
Function callingTool choice
64.0K
Same provider
Overall 42%
databricks-claude-sonnet-4-5
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In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
Output: unknown
Function callingTool choice
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Overall 42%
command-a-03-2025
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In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
Function callingTool choice
8.0K
Partial I/O overlap
Overall 42%
command-r-plus
cohere_chat
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
Function callingTool choice
4.1K
Partial I/O overlap
Overall 41%
command-r-plus-08-2024
cohere_chat
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
Function callingTool choice
4.1K
Partial I/O overlap
Overall 41%
command-r-plus
vercel_ai_gateway
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
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Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 41%
databricks-claude-opus-4-5
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In $5.0000 / 1M tokens
Out $25.0000 / 1M tokens
Output: unknown
Function callingTool choice
64.0K
Same provider
Overall 38%
gpt-35-turbo-16k-0613
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In $3.0000 / 1M tokens
Out $4.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 34%
gpt-5.1
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: image, text
Function callingTool choice
128.0K
Partial I/O overlap
Overall 33%
gpt-5.1-chat
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: image, text
Function callingTool choice
128.0K
Partial I/O overlap
Overall 33%
gpt-5.1-2025-11-13
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagepdf
Output: text
Function callingTool choice
128.0K
Partial I/O overlap
Overall 33%
Llama-3.3-70B-Instruct
azure_ai
In $0.7100 / 1M tokens
Out $0.7100 / 1M tokens
text
Output: text
Function callingTool choice
2.0K
Partial I/O overlap
Overall 31%
gpt-3.5-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 31%
gpt-35-turbo
Azure
In $0.5000 / 1M tokens
Out $1.5000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 31%
gpt-4
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In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 28%
gpt-4-0613
Azure
In $30.0000 / 1M tokens
Out $60.0000 / 1M tokens
text
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 28%
databricks-gpt-5
databricks
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 28%
databricks-gpt-5-1
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In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
Low overlap
128.0K
Same provider
Overall 28%
gpt-5.1-chat-2025-11-13
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
pdf
Output: image, text
Low overlap
16.4K
Partial I/O overlap
Overall 24%