LLM Pricing

gemini-robotics-er-1.5-preview

vertex_ai-language-models · Chat model

gemini-robotics-er-1.5-preview 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.

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

vertex_ai-language-models-gemini-robotics-er-1-5-preview

Input
$0.3000 / 1M tokens
Output
$2.5000 / 1M tokens
Cached input
$0.0300 / 1M tokens
Context window
65.5K

Catalog generated: Aug 10, 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
$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

Limits

Context window
65.5K
Max input tokens
1.0M
Max output tokens
65.5K
Max tokens
65.5K
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. 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 Supported
Tool choice Supported
Prompt caching -
Reasoning Supported
Response schema Supported
System messages Supported
Audio input -
Audio output -
Web search -
PDF input -
Video input -
Native streaming -
Computer use -
Assistant prefill -
Structured output -
Output config -
URL context Supported

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-robotics-er-1.5-preview
vertex_ai-language-models
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
url
Output: text
VisionFunction callingParallel function callingTool choice
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-robotics-er-1.5-preview
Google
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
url
Output: text
VisionFunction callingParallel function callingTool choice
65.5K
Exact I/O shape
Overall 73%

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Hidden Costs of LLM APIs

Fine-tuning, rate limits, latency tradeoffs, evaluation, integration, and vendor risk — the LLM API costs that don't show up in per-token comparisons.

Output vs Input Pricing Multiplier

Output tokens cost 3.6× more than input on average across 2,076 chat models. Provider breakdowns, reasoning vs non-reasoning, and real workload estimates.

Sources

Source links
Pricing dataLiteLLM model cost map
Synced at2026-05-28
Catalog generated2026-08-10T21:27:29.020Z

Docs

Official docs