gemini-pro-latest
Google · chat model
gemini-pro-latest is listed here as a chat model from Google. 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
$0.1250 / 1M tokens
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 |
| Cached input | $0.1250 / 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 | ✅ |
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 |
|---|---|---|---|---|---|
| gemini-pro-latest Google | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-2.5-pro vertex_ai-language-models | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf audioimage
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Partial I/O overlap Overall 76% |
| gemini-2.5-pro Google | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf audioimage
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 76% |
| gemini-pro-latest Google | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 76% |
| gemini-3-pro-preview vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdf audioimage
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Partial I/O overlap Overall 71% |
| gemini-3-pro-preview Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdf
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Exact I/O shape Overall 71% |
| gemini-3-pro-preview Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdf audioimage
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 71% |
| gemini-3-pro-preview OpenRouter | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdf
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Exact I/O shape Overall 71% |
| gemini-3.5-flash Google | In $1.5000 / 1M tokens Out $9.0000 / 1M tokens | pdf audioimage
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 70% |
| gemini-3.1-pro-preview Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdf audioimage
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 69% |
| gemini-3.1-pro-preview-customtools Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | pdf audioimage
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 69% |
| gemini-3-flash-preview Vertex AI | In $0.5000 / 1M tokens Out $3.0000 / 1M tokens | pdf
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Exact I/O shape Overall 63% |
| gpt-5.1-2025-11-13 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 60% |
| gpt-5 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 60% |
| gpt-5-2025-08-07 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf imagetext
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 60% |
| gpt-5.1 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 52% |
| gpt-5.1-chat Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | VisionFunction callingTool choicePrompt caching | 128.0K | Partial I/O overlap Overall 52% |
| gpt-5.5 Azure | In $5.0000 / 1M tokens Out $30.0000 / 1M tokens | pdf
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Exact I/O shape Overall 48% |
| gpt-5.5-2026-04-23 Azure | In $5.0000 / 1M tokens Out $30.0000 / 1M tokens | pdf
Output: text | VisionFunction callingTool choicePrompt caching | 128.0K | Exact I/O shape Overall 48% |
| gpt-5.1-chat-2025-11-13 Azure | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | pdf
Output: image, text | VisionPrompt cachingReasoningResponse schema | 16.4K | Partial I/O overlap Overall 45% |
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