Head-to-Head Model Comparison

Gemini Robotics-ER 1.6 vs Gemini 3.1 Flash-Lite

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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Gemini Robotics-ER 1.6Profile

Gemini 3.1 Flash-LiteProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Google

Gemini Robotics-ER 1.6

Mesin Penalaran Mendalam

Gemini Robotics-ER 1.6 dari Google adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 131K, kecepatan 90 token/detik, indeks kecerdasan 82/100, serta t

Intelligence Index82 / 100

Input Token:

$2.50 / 1M

Output Token:

$10.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Google

Gemini 3.1 Flash-Lite

Model Ringan & Hemat Biaya

Gemini 3.1 Flash-Lite dari Google adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 1.0M, kecepatan 250 token/detik, indeks kecerdasan 60/100, serta

Intelligence Index60 / 100

Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

Gemini 3.1 Flash-Lite is 16.5x cheaper for API usage (input + output tokens combined).
Gemini 3.1 Flash-Lite has a larger context window (1M vs 131K tokens).
Gemini 3.1 Flash-Lite is faster at 250 tok/s vs 90 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Gemini Robotics-ER 1.6	Gemini 3.1 Flash-Lite
Intelligence Index Composite reasoning & knowledge score (0-100)	82	60
Provider	Google	Google
Input Price Cost per million input tokens	$2.50 / 1M	$0.15 / 1M
Output Price Cost per million output tokens	$10.00 / 1M	$0.60 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.85 / 1M	$0.11 / 1M
Context Window Maximum input + output tokens	131.1K tokens~197 A4 pages of text	1.05M tokens~1,573 A4 pages of text
Max Output Tokens Per single request	16K	33K
Throughput Speed Tokens generated per second	90 tok/s	250 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.50 / 1M	$0.04 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Gemini 3.1 Flash-Lite

16.5x cheaper monthly runtime

Speed

Gemini 3.1 Flash-Lite

+178% faster generation

Context

Gemini 3.1 Flash-Lite

1.05M tokens window

Skor Benchmark Terverifikasi

Official evaluation metrics verified by independent third-party research labs.

Gemini Robotics-ER 1.6Gemini 3.1 Flash-Lite

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

N/Avs78.5%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1410ptsvs1355pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

90 tok/s vs250 tok/s

Latensi & Waktu Respons

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Gemini Robotics-ER 1.60.70s

Gemini 3.1 Flash-Lite0.27s

Est. End-to-End Response (500 tokens)TTFT + generation time

Gemini Robotics-ER 1.66.26s

Gemini 3.1 Flash-Lite2.27s

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Gemini Robotics-ER 1.6 Monthly API Bill

$13.50 / month

$2.5/1M in · $10/1M out

Gemini 3.1 Flash-Lite Monthly API Bill

$0.82 / month

$0.15/1M in · $0.6/1M out

Gemini 3.1 Flash-Lite saves approximately $12.68 / month (94%) under this workload.16.5x Savings

Gemini Robotics-ER 1.6 · Strengths & Key Advantages

Jendela konteks 131K dengan kapasitas output maksimum hingga 16K token (Arena Elo 1410)
Kecepatan generasi tinggi 90 token/detik dengan latensi token pertama (TTFT) hanya 700 ms
Skema harga API kompetitif (tarif $2.5/$10 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Gemini 3.1 Flash-Lite · Strengths & Key Advantages

Jendela konteks 1.0M dengan kapasitas output maksimum hingga 33K token (MMLU-Pro 78.5% · Arena Elo 1355)
Kecepatan generasi tinggi 250 token/detik dengan latensi token pertama (TTFT) hanya 270 ms
Skema harga API kompetitif (tarif $0.15/$0.6 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Gemini Robotics-ER 1.6	Gemini 3.1 Flash-Lite
Cost per Task Estimated USD to finish one task	$1.80	$0.38
Output Tokens / Task Tokens generated per task	12K	14K
Reasoning Tokens / Task Thinking tokens burned per task	6K	5K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Gemini Robotics-ER 1.6	Gemini 3.1 Flash-Lite
Official API Model ID (SDK)	models/gemini-robotics-er-1-6	models/gemini-3-1-flash-lite
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2026-04	2026-03
Knowledge Cutoff	February 2026	November 2025
Architecture	Embodied Spatial Vision-Language-Action (VLA) Model	Compact efficient multimodal transformer
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	10,000 – 30,000 RPM (Tier 5 Enterprise) · 800,000 – 2,000,000 TPM	10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($2.5/1M in) across full 131K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Implicit + Explicit Context Caching at $0.5/1M with configurable TTL	Implicit + Explicit Context Caching at $0.035/1M with configurable TTL
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Built-in Google Search Grounding + Managed Python Code Execution Sandbox	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	Vertex AI Supervised Adapter Tuning & Context Distillation	Vertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Google DeepMind Frontier Safety Framework Verified	Google DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision	text, vision
Output Modalities	text	text

Gemini Robotics-ER 1.6 vs Gemini 3.1 Flash-Lite: Jawaban Cepat (FAQ)

Which is more intelligent, Gemini Robotics-ER 1.6 or Gemini 3.1 Flash-Lite?

Gemini Robotics-ER 1.6 is more intelligent. It scores 82 compared with 60 on the composite Intelligence Index.

Which model is faster?

Gemini 3.1 Flash-Lite is faster, generating 250 tokens per second compared with 90 tokens per second.

Which model is cheaper to run?

Gemini 3.1 Flash-Lite is cheaper at $0.11 per 1M tokens blended, compared with $1.85 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 3.1 Flash-Lite has lower latency, with a time to first token of 0.27s compared with 0.70s.

Which model has a larger context window?

Gemini 3.1 Flash-Lite has a larger context window, supporting 1.05M tokens compared with 131.1K tokens.

Kesimpulan

Baik Gemini Robotics-ER 1.6 (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Gemini 3.1 Flash-Lite (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Gemini Robotics-ER 1.6 unggul dalam penalaran dan pemrograman, Gemini 3.1 Flash-Lite memberikan kecepatan generasi token lebih tinggi, dan Gemini 3.1 Flash-Lite lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Gemini Robotics-ER 1.6 atau Gemini 3.1 Flash-Lite?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Gemini Robotics-ER 1.6 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Gemini Robotics-ER 1.6 vs Gemini 3.1 Flash-Lite?+

Gemini Robotics-ER 1.6 mengenakan biaya $2.50 / $10.00 per 1M token input/output, sedangkan Gemini 3.1 Flash-Lite sebesar $0.15 / $0.60. Secara keseluruhan, Gemini 3.1 Flash-Lite lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Gemini Robotics-ER 1.6 mendukung konteks 131.1K token dibandingkan 1.05M token pada Gemini 3.1 Flash-Lite, sementara Gemini 3.1 Flash-Lite unggul dalam kecepatan output token per detik.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Gemini Robotics-ER 1.6 vs Gemini 3.1 Flash-Lite

Ganti & Bandingkan Model Apa Saja

Gemini Robotics-ER 1.6

Gemini 3.1 Flash-Lite

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Gemini Robotics-ER 1.6 · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 3.1 Flash-Lite · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Gemini Robotics-ER 1.6 vs Gemini 3.1 Flash-Lite: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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