Head-to-Head Model Comparison

Gemini Robotics-ER 1.6 vs Gemini 3.1 Flash-Lite

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Gemini Robotics-ER 1.6Profile

Gemini 3.1 Flash-LiteProfile

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Popular Matchups:

Google

Gemini Robotics-ER 1.6

Deep-Reasoning-Engine

Gemini Robotics-ER 1.6 von Google ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 131K Kontextfenster, 90 Token/s Durchsatz, einem Intelligenz-Index von 82/100 und $2.5/$10 pro 1M

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

Kompaktes Effizienz-Modell

Gemini 3.1 Flash-Lite von Google ist ein KI-Modell für maximale Kosteneffizienz pro Token und ressourcenschonende Produktions-Workloads mit 1.0M Kontextfenster, 250 Token/s Durchsatz, einem Intelligenz-Index von 60/100 und $0.15/$0.6 pro 1M

Intelligence Index60 / 100

Input Token:

$0.15 / 1M

Output Token:

$0.60 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

N/A

Wichtigste Unterschiede auf einen Blick

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

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-Simulator

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

131K Kontextfenster und bis zu 16K maximale Output-Token (Arena Elo 1410)
Hohe Generierungsgeschwindigkeit von 90 Token/Sekunde bei nur 700 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($2.5/$10 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei hohem Anfragevolumen empfiehlt sich der Einsatz von Prompt-Caching und Batch-API zur Kostenoptimierung

Gemini 3.1 Flash-Lite · Strengths & Key Advantages

1.0M Kontextfenster und bis zu 33K maximale Output-Token (MMLU-Pro 78.5% · Arena Elo 1355)
Hohe Generierungsgeschwindigkeit von 250 Token/Sekunde bei nur 270 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.15/$0.6 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

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

Technische Spezifikationen

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: Schnelle Antworten (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.

Fazit

Sowohl Gemini Robotics-ER 1.6 (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Gemini 3.1 Flash-Lite (Optimal für maximale Kosteneffizienz pro Token und ressourcenschonende Produktions-Workloads, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Gemini Robotics-ER 1.6 führt bei komplexem Reasoning und Coding, Gemini 3.1 Flash-Lite liefert den höheren Token-Durchsatz und Gemini 3.1 Flash-Lite ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Gemini Robotics-ER 1.6 oder Gemini 3.1 Flash-Lite?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Gemini Robotics-ER 1.6 vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Gemini Robotics-ER 1.6 und Gemini 3.1 Flash-Lite?+

Gemini Robotics-ER 1.6 kostet $2.50 / $10.00 pro 1M Input-/Output-Tokens, Gemini 3.1 Flash-Lite liegt bei $0.15 / $0.60. Beim gewichteten Gesamtpreis ist Gemini 3.1 Flash-Lite günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Gemini Robotics-ER 1.6 bietet 131.1K Tokens Kontext gegenüber 1.05M Tokens bei Gemini 3.1 Flash-Lite. Bei der Generierungsgeschwindigkeit liegt Gemini 3.1 Flash-Lite vorn.

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

Beliebige Modelle wechseln & vergleichen

Gemini Robotics-ER 1.6

Gemini 3.1 Flash-Lite

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

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

Technische Spezifikationen

Gemini Robotics-ER 1.6 vs Gemini 3.1 Flash-Lite: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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