LLM Pricing
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gemini-2.0-flash

vertex_ai-language-models · chat model

gemini-2.0-flash 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
$0.1000 / 1M tokens
Output
$0.4000 / 1M tokens
Cached input
$0.0250 / 1M tokens
Context
8.2K
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
$0.1000 / 1M tokens
Output
$0.4000 / 1M tokens
Cached input
$0.0250 / 1M tokens
Audio input
$0.7000 / 1M tokens
Embedding
$0.1000 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
1.0M
Max output tokens
8.2K
Max tokens
8.2K

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
MMLU-Pro 77.6% accuracy Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) 2026-05-31 Link
LiveCodeBench v5 34.5% accuracy Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) 2026-05-31 Link
GPQA Diamond 60.1% accuracy Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) 2026-05-31 Link
MATH 90.9% accuracy Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) 2026-05-31 Link
FACTS Grounding 84.6% accuracy Base model: Gemini 2.0 Flash (Gemini 2.0 Flash (GA)) 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-2.0-flash
vertex_ai-language-models
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingParallel function callingTool choice
8.2K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
gemini-2.0-flash
Google
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingTool choicePrompt caching
8.2K
Text + image covered
Overall 98%
gemini-2.0-flash-001
Google
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingTool choicePrompt caching
8.2K
Text + image covered
Overall 91%
gemini-2.0-flash-001
vertex_ai-language-models
In $0.1500 / 1M tokens
Out $0.6000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingParallel function callingTool choice
8.2K
Same provider
Overall 89%
gemini-2.0-flash-001
OpenRouter
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo file
Output: text
VisionFunction callingTool choiceResponse schema
8.2K
Text + image covered
Overall 84%
gemini-2.0-flash-lite
vercel_ai_gateway
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingTool choiceResponse schema
8.2K
Text + image covered
Overall 79%
gemini-2.0-flash-lite
vertex_ai-language-models
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingParallel function callingTool choice
N/A
Same provider
Overall 75%
gemini-2.0-flash-lite-001
vertex_ai-language-models
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingParallel function callingTool choice
N/A
Same provider
Overall 75%
gemini-2.5-flash-lite
vertex_ai-language-models
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo pdf
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 74%
gemini-2.5-flash-lite-preview-09-2025
vertex_ai-language-models
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo pdf
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 74%
gemini-2.0-flash-lite
Google
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingTool choicePrompt caching
N/A
Text + image covered
Overall 73%
gemini-2.0-flash-lite-001
Google
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingTool choicePrompt caching
N/A
Text + image covered
Overall 73%
gpt-4.1-nano
Azure
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 68%
gpt-4.1-nano-2025-04-14
Azure
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingParallel function callingTool choice
32.8K
Text + image covered
Overall 68%
gemini-2.5-flash
vertex_ai-language-models
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
audioimagetexturlvideo pdf
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 64%
gemini-robotics-er-1.5-preview
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Text + image covered
Overall 63%
gemini-robotics-er-1.5-preview
vertex_ai-language-models
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
audioimagetexturlvideo
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Same provider
Overall 61%
gemini-2.0-flash-001
deepinfra
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo code
Output: text
Function callingTool choice
1.0M
Text + image covered
Overall 60%
Llama-3.3-Nemotron-Super-49B-v1.5
deepinfra
In $0.1000 / 1M tokens
Out $0.4000 / 1M tokens
audioimagetexturlvideo
Output: text
Function callingTool choice
131.1K
Partial I/O overlap
Overall 47%
Missing image