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.
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
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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| databricks-gemini-2-5-pro databricks | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 65.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| claude-4-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimage
Output: text | Function callingTool choice | 64.0K | Partial I/O overlap Overall 51% |
| gemini-2.5-pro deepinfra | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | audiocode
Output: text | Function callingTool choice | 1.0M | Partial I/O overlap Overall 46% |
| databricks-gemini-2-5-flash databricks | In $0.3000 / 1M tokens Out $2.5000 / 1M tokens |
Output: unknown | Function callingTool choice | 65.5K | Same provider Overall 45% |
| DeepSeek-R1-Turbo deepinfra | In $1.0000 / 1M tokens Out $3.0000 / 1M tokens | text
Output: text | Function callingTool choice | 41.0K | 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 Google | 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 databricks | In $1.0000 / 1M tokens Out $5.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 64.0K | Same provider Overall 44% |
| grok-2 vercel_ai_gateway | 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 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-4-5 databricks | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 64.0K | Same provider Overall 42% |
| command-a-03-2025 cohere_chat | 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 | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 41% |
| databricks-claude-opus-4-5 databricks | 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 Azure | 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 Azure | 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 databricks | 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% |
No models match this filter.