google.gemini-2.5-pro
oci · chat model
google.gemini-2.5-pro is listed here as a chat model from oci. 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 |
|---|---|---|---|---|---|
| google.gemini-2.5-pro oci | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 65.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-2.5-pro vercel_ai_gateway | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens | audioimage
Output: text | VisionFunction callingResponse schema | 65.5K | Partial I/O overlap Overall 49% |
| gemini-3-pro-preview gmi | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 65.5K | Partial I/O overlap Overall 46% |
| gemini-2.5-pro-preview-tts Google | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | text
Output: audio | VisionFunction callingResponse schema | 65.5K | Partial I/O overlap Overall 46% |
| claude-3.7-sonnet vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | fileimage
Output: text | VisionFunction callingResponse schema | 64.0K | Partial I/O overlap Overall 44% |
| gemini-2.5-pro-preview-tts vertex_ai-language-models | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | text
Output: audio | VisionFunction callingResponse schema | 65.5K | Partial I/O overlap Overall 44% |
| openai vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingResponse schema | 100.0K | Partial I/O overlap Overall 43% |
| google.gemini-2.5-flash oci | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 65.5K | Same provider Overall 42% |
| google.gemini-2.5-flash-lite oci | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 65.5K | Same provider Overall 41% |
| nova-pro vercel_ai_gateway | In $0.8000 / 1M tokens Out $3.2000 / 1M tokens | imagetext
Output: text | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 36% |
| gpt-5.1 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | VisionFunction callingResponse schema | 128.0K | Partial I/O overlap Overall 36% |
| gpt-5.1-chat Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | VisionFunction callingResponse schema | 128.0K | Partial I/O overlap Overall 36% |
| gpt-5.1-2025-11-13 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingResponse schema | 128.0K | Partial I/O overlap Overall 36% |
| gpt-5 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingResponse schema | 128.0K | Partial I/O overlap Overall 36% |
| gpt-5-2025-08-07 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | imagepdf
Output: text | VisionFunction callingResponse schema | 128.0K | Partial I/O overlap Overall 36% |
| gpt-5.1-chat-2025-11-13 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | VisionResponse schema | 16.4K | Partial I/O overlap Overall 31% |
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Output: unknown | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 29% |
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Output: text | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 28% |
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Output: unknown | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 27% |
| xai.grok-4 oci | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 128.0K | Same provider Overall 27% |
| xai.grok-3 oci | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 131.1K | Same provider Overall 27% |
| xai.grok-4.20 oci | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | Function calling | 131.1K | Same provider Overall 27% |
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Output: unknown | Function calling | 131.1K | Same provider Overall 27% |
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