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gemini-3.1-pro-preview-customtools

Google · Chat model

gemini-3.1-pro-preview-customtools 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.

Provider and model identifiers are kept in their original form for accuracy.

gemini-gemini-gemini-3-1-pro-preview-customtools

Input
$2.0000 / 1M tokens
Output
$12.0000 / 1M tokens
Cached input
$0.2000 / 1M tokens
Context window
65.5K

Catalog generated: Jul 13, 2026

Compare this model Open a side-by-side table using this route and a close match from the current catalog. Estimate cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill.

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
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

Limits

Context window
65.5K
Max input tokens
1.0M
Max output tokens
65.5K
Max tokens
65.5K
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. API vs subscription Learn when API pricing matters compared with ChatGPT, Claude Code, Cursor, or Copilot subscriptions. Cache and batch pricing Understand cached input, cache write, batch, priority, and flex pricing rows shown on this page.

Capabilities

Capability Supported
Vision Supported
Function calling Supported
Parallel function calling -
Tool choice Supported
Prompt caching Supported
Reasoning Supported
Response schema Supported
System messages Supported
Audio input Supported
Audio output -
Web search Supported
PDF input Supported
Video input Supported

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

Similar models

Candidates below have the same known input/output modality shape and usable token pricing. Use the filters to change the ranking lens before opening a comparison.

Comparing from
Model Cost Input shape Features Context Why it is close
gemini-3.1-pro-preview-customtools
Google
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, exact modality shape, 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
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Exact I/O shape
Overall 76%
gemini-3.1-pro-preview-customtools
vertex_ai-language-models
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Exact I/O shape
Overall 76%
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
Exact I/O shape
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
Exact I/O shape
Overall 76%
gemini-3.1-pro-preview
Google
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 76%
gemini-3.5-flash
Vertex AI
In $1.5000 / 1M tokens
Out $9.0000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Exact I/O shape
Overall 69%
gemini-3.5-flash
Google
In $1.5000 / 1M tokens
Out $9.0000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 69%
gemini-3.1-flash-lite-preview
vertex_ai-language-models
In $0.2500 / 1M tokens
Out $1.5000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Exact I/O shape
Overall 57%
gemini-3.1-flash-lite-preview
Google
In $0.2500 / 1M tokens
Out $1.5000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 57%
gemini-3.1-flash-lite
Google
In $0.2500 / 1M tokens
Out $1.5000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 57%
gemini-3-flash-preview
Google
In $0.5000 / 1M tokens
Out $3.0000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 55%
Gemini 2.5 Flash
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 54%

Sources

Source links
Pricing dataLiteLLM model cost map
Synced at2026-05-28
Catalog generated2026-07-13T14:21:55.110Z

Docs

Official docs