Gemini · Fast / Budget · 131.072K context window

Gemini Robotics ER 2 pricing for blog writing

$0.0410 per call at 1,000 input / 8,000 output tokens.

Per call

$0.0410

10K calls/mo

$410

Cache savings

90% off input

Batch savings

50% off all

Calculate your Gemini Robotics ER 2 costs

Adjust token counts, volume, and discount toggles to model your blog writing spend. Prices verified daily against provider pricing pages.

Configure your usage

1,000
100100K
8,000
5050K
10,000
1001M

Estimated cost

Monthly cost
$410
10,000 calls/month
Cost per call$0.041
Daily cost$14
Input rate$1.00/MTok
Output rate$5.00/MTok
Analyze your real spend

Quick start

Call Gemini Robotics ER 2 with the Google Generative AI SDK:

import google.generativeai as genai

model = genai.GenerativeModel("gemini-robotics-er-2")
response = model.generate_content("Your prompt here")
# Cost: ~$0.0410 per call at standard rates
# Input:  $1.00/MTok
# Output: $5.00/MTok

How Gemini Robotics ER 2 compares on cost

Per-call cost for all models scoring 50+ on blog writing benchmarks. Hover for details.

Cheapest viable option: Claude Sonnet 5 at $0.0820/call (-100% less, 87/100 quality).

What drives blog writing cost

The most output-heavy use case tracked here. A brief of a few hundred tokens produces an article of several thousand, so output pricing is essentially the entire cost and input rate is noise. Generating section by section rather than whole-article gives you more control over both quality and spend, at the cost of more calls.

For Gemini Robotics ER 2 specifically, that means output tokens cost 5.0x more than input, at $5.00 vs $1.00 per MTok. At this use case’s 1,000/8,000 token split, output accounts for 98% of the $0.0410 per-call cost.

Complete Gemini Robotics ER 2 pricing breakdown

Standard token rates

Direction$/MTokTokens per call
Input$1.001,000
Output$5.008,000

Prompt caching: 90% off input tokens

Caching drops input cost from $1.00 to $0.10/MTok. For repeated system prompts, that saves $0.000900 per call.

Batch API: 50% off all tokens

Submit requests asynchronously and receive 50% off all token costs. This works best for offline pipelines where latency requirements are flexible.

Monthly cost projections

Monthly volumeCost per callStandard monthlyCached monthlyYou save with caching
10,000 calls$0.0410$410$401$9
50,000 calls$0.0410$2,050$2,005$45
100,000 calls$0.0410$4,100$4,010$90
500,000 calls$0.0410$20,500$20,050$450
1,000,000 calls$0.0410$41,000$40,100$900

Gemini Robotics ER 2 quality benchmarks for blog writing

Benchmark data for blog writing is pending for Gemini Robotics ER 2. Test against your own evaluation suite before moving to production.

Performance across all task types

Gemini Robotics ER 2 scores by task type. Blog Writing highlighted.

Task typeConfidence scoreRank out of 72

Confidence scores are a third-party benchmark snapshot from week 29 of 2026. This snapshot is 10 weeks old, so treat the scores as directional and validate against your own evals.

Alternative models for blog writing

5 models score 80+ on blog writing benchmarks, sorted by input rate. Cheapest: Claude Sonnet 5 (-100% less, 87/100 quality).

ModelProviderInput $/MTokOutput $/MTokQualityPer callvs Gemini
Claude Sonnet 5Claude$2.00$10.0087/100$0.0820100% more
GPT 5.6 SolGPT$4.00$20.0092/100$0.1640300% more
Claude Opus 4.8Claude$5.00$25.0093/100$0.2050400% more
GPT 5.5GPT$5.00$30.0091/100$0.2450498% more
Claude Fable 5Claude$10.00$50.0095/100$0.4100900% more

About Gemini Robotics ER 2

Provider

Gemini

Tier

Fast / Budget

Context

131.072K tokens

Released

Not published

Backfilled on 2026-09-23. Prices confirmed by the provider pricing page and the LiteLLM cross-check. Release date not published in a machine-readable source. Not yet benchmarked, so never recommended.

Other models from Gemini

ModelTierInput $/MTokOutput $/MTokContext
Gemini 3.1 ProMid-tier$2.00$12.001,048.576K
Gemini 3.5 FlashFast / Budget$1.50$9.001,048.576K
Gemini 3 FlashFast / Budget$0.50$3.001,048.576K
Gemini 3.5 Flash-LiteFast / Budget$0.30$2.501,048.576K
Gemini 2.5 Computer UseFast / Budget$1.25$10.00128K
Gemini 2.5 FlashFast / Budget$0.30$2.501,048.576K
Gemini 2.5 Flash-LiteFast / Budget$0.10$0.401,048.576K
Gemini 2.5 ProMid-tier$1.25$10.001,048.576K
Gemini 3.1 Flash-LiteFast / Budget$0.25$1.501,048.576K
Gemini 3.1 Pro Custom ToolsMid-tier$2.00$12.001,048.576K
Gemini 3.6 FlashFast / Budget$0.75$3.751,048.576K
Gemini 3.7 FlashFast / Budget$0.75$3.751,048.576K
Gemini 3.8 FlashFast / Budget$0.75$3.751,048.576K
Gemini Omni 1.1 FlashFast / Budget$1.50$9.001,048.576K
Gemini Omni FlashFast / Budget$1.50$9.001,048.576K

You can compare Gemini Robotics ER 2 head-to-head against any other model on our model comparison pages, or track how pricing has changed over time on the pricing history tracker.

Frequently asked questions

How much does Gemini Robotics ER 2 cost for blog writing per API call?

A typical blog writing call using Gemini Robotics ER 2 costs about $0.0410 per call. This estimate uses 1,000 input tokens and 8,000 output tokens at standard rates. Standard rates are $1.00 per million input tokens and $5.00 per million output tokens.

Is Gemini Robotics ER 2 the best model for blog writing?

Our benchmark data does not yet include a blog writing ranking for Gemini Robotics ER 2. We recommend testing it against your own evaluation criteria before production usage.

What is the cheapest model for blog writing with good quality?

The most affordable model for blog writing above 80/100 quality is Claude Sonnet 5. It comes from Claude at $2.00 per million input tokens. Output costs $10.00 per million tokens with a quality score of 87/100. Switching from Gemini Robotics ER 2 to Claude Sonnet 5 saves about -100% per API call.

How can I reduce my Gemini Robotics ER 2 costs for blog writing?

Three strategies lower Gemini Robotics ER 2 costs for this task type effectively. Prompt caching gives a 90% discount on input tokens when reusing system prompts. The batch API gives 50% off all tokens for asynchronous processing workloads. Prompt optimization reduces token counts through more concise instructions and context windows. Combining caching with batching brings your cost from $0.0410 to about $0.002050 per call.

How does Gemini Robotics ER 2 pricing compare to other Gemini models?

Gemini has 15 other models alongside Gemini Robotics ER 2 today: Gemini 3.1 Pro at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.5 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini 3 Flash at $0.50/$3.00 per million tokens (fast / budget), Gemini 3.5 Flash-Lite at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Computer Use at $1.25/$10.00 per million tokens (fast / budget), Gemini 2.5 Flash at $0.30/$2.50 per million tokens (fast / budget), Gemini 2.5 Flash-Lite at $0.10/$0.40 per million tokens (fast / budget), Gemini 2.5 Pro at $1.25/$10.00 per million tokens (mid-tier), Gemini 3.1 Flash-Lite at $0.25/$1.50 per million tokens (fast / budget), Gemini 3.1 Pro Custom Tools at $2.00/$12.00 per million tokens (mid-tier), Gemini 3.6 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.7 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini 3.8 Flash at $0.75/$3.75 per million tokens (fast / budget), Gemini Omni 1.1 Flash at $1.50/$9.00 per million tokens (fast / budget), Gemini Omni Flash at $1.50/$9.00 per million tokens (fast / budget). The right choice depends on whether your blog writing workload prioritizes quality, cost, or speed.

What context window does Gemini Robotics ER 2 support?

Gemini Robotics ER 2 supports a context window of 131.072K tokens per API call. This sets the maximum combined length of your input prompt and generated response. For blog writing, typical calls use 1,000 input and 8,000 output tokens. That is well within this limit, leaving room for longer prompts or multi-turn conversations.

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