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gemini-3.1-pro-preview

Vertex AI · chat model

gemini-3.1-pro-preview is listed here as a chat model from Vertex AI. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$2.0000 / 1M tokens
Output
$12.0000 / 1M tokens
Cached input
$0.2000 / 1M tokens
Context
65.5K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmark family Review source-backed benchmark rows for the attached base model family. Check data sources See how pricing data is generated and what still needs provider verification.

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

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
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

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-3.1-pro-preview
Vertex AI
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Current model
Reference row

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

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
pdfurl audioimage
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Partial I/O overlap
Overall 76%
gemini-3.1-pro-preview-customtools
vertex_ai-language-models
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Partial I/O overlap
Overall 76%
gemini-3.1-pro-preview-customtools
Vertex AI
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 76%
gemini-3.1-pro-preview
Google
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Partial I/O overlap
Overall 76%
gemini-3.1-pro-preview-customtools
Google
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Partial I/O overlap
Overall 76%
gemini-3-pro-preview
vertex_ai-language-models
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Partial I/O overlap
Overall 74%
gemini-3-pro-preview
Vertex AI
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 74%
gemini-3-pro-preview
Google
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Partial I/O overlap
Overall 74%
gemini-3.5-flash
Vertex AI
In $1.5000 / 1M tokens
Out $9.0000 / 1M tokens
pdfurl
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
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 59%
gemini-flash-latest
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Exact I/O shape
Overall 54%
gemini-2.5-flash-lite-preview-06-17
vertex_ai-language-models
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Exact I/O shape
Overall 51%
gemini-flash-lite-latest
Google
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Exact I/O shape
Overall 51%
gemini-2.5-flash-lite-preview-06-17
Google
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Exact I/O shape
Overall 51%
grok-4.20-reasoning
Vertex AI
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
pdfurl
Output: unknown
VisionFunction callingTool choiceReasoning
2.0M
Same provider
Overall 27%
grok-4.20-non-reasoning
Vertex AI
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
pdfurl
Output: unknown
VisionFunction callingTool choiceResponse schema
2.0M
Same provider
Overall 25%