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gemini-flash-latest

Google · chat model

gemini-flash-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
$0.3000 / 1M tokens
Output
$2.5000 / 1M tokens
Cached input
$0.0300 / 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 benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. 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
$0.3000 / 1M tokens
Output
$2.5000 / 1M tokens
Cached input
$0.0300 / 1M tokens
Reasoning output
$2.5000 / 1M tokens
Audio input
$1.0000 / 1M tokens
Embedding
$0.3000 / 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

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-flash-latest
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl
Output: text
VisionFunction callingParallel function callingTool choice
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-flash
vertex_ai-language-models
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Partial I/O overlap
Overall 76%
gemini-2.5-flash-preview-09-2025
vertex_ai-language-models
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Partial I/O overlap
Overall 76%
Gemini 2.5 Flash
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 76%
gemini-2.5-flash-preview-09-2025
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 76%
gemini-flash-latest
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 76%
gemini-exp-1206
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 76%
gemini-robotics-er-1.5-preview
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 71%
gemini-3-flash-preview
Google
In $0.5000 / 1M tokens
Out $3.0000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 71%
gemini-robotics-er-1.5-preview
vertex_ai-language-models
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl audioimage
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Partial I/O overlap
Overall 69%
amazon.nova-2-lite-v1:0
bedrock_converse
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl imagetext
Output: text
VisionFunction callingPrompt cachingReasoning
64.0K
Partial I/O overlap
Overall 63%
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 callingParallel function callingTool choice
65.5K
Exact I/O shape
Overall 61%
gemini-flash-lite-latest
Google
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
pdfurl
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 61%
gemini-2.5-flash-lite-preview-06-17
Google
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
pdfurl
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 61%
gemini-flash-lite-latest
Google
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
pdfurl
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 61%
gemini-2.5-flash
deepinfra
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdfurl audiocode
Output: text
Function callingTool choice
1.0M
Partial I/O overlap
Overall 42%