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gemini-2.5-pro

vertex_ai-language-models · chat model

gemini-2.5-pro 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.

Input
$1.2500 / 1M tokens
Output
$10.0000 / 1M tokens
Cached input
$0.1250 / 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
$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 ✅

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

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.

Comparing from
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
audioimagepdftextvideo
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-2.5-pro
Google
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
audioimagepdftextvideo
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
audioimagepdftextvideo
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 95%
gemini-3-pro-preview
Google
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
audioimagepdftextvideo
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Text + image covered
Overall 95%
gemini-3.5-flash
Google
In $1.5000 / 1M tokens
Out $9.0000 / 1M tokens
audioimagepdftextvideo url
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Text + image covered
Overall 94%
gemini-3.5-flash
vertex_ai-language-models
In $1.5000 / 1M tokens
Out $9.0000 / 1M tokens
audioimagepdftextvideo url
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 94%
gemini-3.1-pro-preview
vertex_ai-language-models
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
audioimagepdftextvideo url
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 93%
gemini-3.1-pro-preview-customtools
vertex_ai-language-models
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
audioimagepdftextvideo url
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 93%
gemini-3.1-pro-preview
Google
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
audioimagepdftextvideo url
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Text + image covered
Overall 93%
gemini-3.1-flash-lite-preview
vertex_ai-language-models
In $0.2500 / 1M tokens
Out $1.5000 / 1M tokens
audioimagepdftextvideo url
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 80%
gemini-3.1-flash-lite
vertex_ai-language-models
In $0.2500 / 1M tokens
Out $1.5000 / 1M tokens
audioimagepdftextvideo url
Output: text
VisionFunction callingTool choicePrompt caching
65.5K
Same provider
Overall 80%
gemini-2.5-pro
vercel_ai_gateway
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
audioimagepdftextvideo
Output: text
VisionFunction callingTool choiceResponse schema
65.5K
Text + image covered
Overall 80%
gpt-5.1-2025-11-13
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
audioimagepdftextvideo
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Text + image covered
Overall 70%
gpt-5
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
audioimagepdftextvideo
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Text + image covered
Overall 70%
gpt-5-2025-08-07
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
audioimagepdftextvideo
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Text + image covered
Overall 70%
gemini-3-pro
replicate
In $2.0000 / 1M tokens
Out $12.0000 / 1M tokens
audioimagepdftextvideo
Output: text
VisionFunction callingTool choiceResponse schema
N/A
Text + image covered
Overall 65%
gemini-2.5-pro
github_copilot
In N/A
Out N/A
audioimagepdftextvideo
Output: text
VisionFunction calling
64.0K
Text + image covered
Overall 59%
gpt-5.1
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
audioimagepdftextvideo
Output: image, text
VisionFunction callingTool choicePrompt caching
128.0K
Partial I/O overlap
Overall 52%
Missing text, image
gpt-5.1-chat
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
audioimagepdftextvideo
Output: image, text
VisionFunction callingTool choicePrompt caching
128.0K
Partial I/O overlap
Overall 52%
Missing text, image
gpt-5.1-chat-2025-11-13
Azure
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
audioimagepdftextvideo
Output: image, text
VisionPrompt cachingReasoningResponse schema
16.4K
Partial I/O overlap
Overall 45%
Missing text, image