gemini-3.1-pro-preview
vertex_ai-language-models · chat model
gemini-3.1-pro-preview is listed here as a chat model from vertex_ai-language-models. 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 | $2.0000 / 1M tokens |
| Output | $12.0000 / 1M tokens |
| Cached input | $0.2000 / 1M tokens |
| Image output | $120.0000 / 1M tokens |
| Embedding | $2.0000 / 1M tokens |
| Batch input | $1.0000 / 1M tokens |
| Batch output | $6.0000 / 1M tokens |
| Priority input | $3.6000 / 1M tokens |
| Priority output | $21.6000 / 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 |
|---|---|---|---|---|---|
| LiveBench | 79.93 | LiveBench score | Base model: Gemini 3.1 Pro Preview (Gemini 3.1 Pro Preview High*) | 2026-05-31 | Link |
| LMArena Text Arena (English) | 1490±5 | Arena Elo | Base model: Gemini 3.1 Pro Preview (gemini-3.1-pro-preview) | 2026-05-31 | Link |
| GPQA Diamond | 94.1% | accuracy | Base model: Gemini 3.1 Pro Preview (Gemini 3.1 Pro Preview) | 2026-05-31 | Link |
| MMMU-Pro | 82% | accuracy | Base model: Gemini 3.1 Pro Preview (Gemini 3.1 Pro Preview) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Docs
| Official docs |
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 |
|---|---|---|---|---|---|
| gemini-3.1-pro-preview vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-3.1-pro-preview-customtools vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 100% |
| gemini-3.1-pro-preview Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Text + image covered Overall 100% |
| gemini-3.1-pro-preview-customtools Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Text + image covered Overall 100% |
| gemini-3-pro-preview vertex_ai-language-models | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 98% |
| gemini-3-pro-preview Google | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Text + image covered Overall 98% |
| gemini-3.5-flash Google | In $1.5000 / 1M tokens Out $9.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Text + image covered Overall 93% |
| gemini-3.5-flash vertex_ai-language-models | In $1.5000 / 1M tokens Out $9.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 93% |
| gemini-2.5-pro vertex_ai-language-models | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 93% |
| gemini-3.1-flash-lite-preview vertex_ai-language-models | In $0.2500 / 1M tokens Out $1.5000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 81% |
| gemini-3.1-flash-lite vertex_ai-language-models | In $0.2500 / 1M tokens Out $1.5000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Same provider Overall 81% |
| gemini-3.1-flash-lite-preview Google | In $0.2500 / 1M tokens Out $1.5000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Text + image covered Overall 81% |
| gemini-3.1-pro-preview Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Partial I/O overlap Overall 76% Missing text, image |
| gemini-3.1-pro-preview-customtools Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Partial I/O overlap Overall 76% Missing text, image |
| gemini-3-pro-preview Vertex AI | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens | audioimagepdftexturlvideo
Output: text | VisionFunction callingTool choicePrompt caching | 65.5K | Partial I/O overlap Overall 74% Missing text, image |
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