Head-to-Head Model Comparison

Aion-3.0 vs Gemini 3.6 Flash

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Aion-3.0Profile

Gemini 3.6 FlashProfile

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Popular Matchups:

AionLabs

Aion-3.0

Deep-Reasoning-Engine

Aion-3.0 von AionLabs ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 131K Kontextfenster, 80 Token/s Durchsatz, einem Intelligenz-Index von 83/100 und $0.5/$2 pro 1M Token.

Intelligence Index83 / 100

Input Token:

$0.50 / 1M

Output Token:

$2.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Google

Gemini 3.6 Flash

Spitzenmodell für Programmierung

Gemini 3.6 Flash von Google ist ein KI-Modell für autonomes Software-Engineering, Code-Refactoring und komplexe Fehleranalyse mit 1.0M Kontextfenster, 185 Token/s Durchsatz, einem Intelligenz-Index von 84/100 und $0.75/$3.75 pro 1M Token.

Intelligence Index84 / 100

Input Token:

$0.75 / 1M

Output Token:

$3.75 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

72%

Wichtigste Unterschiede auf einen Blick

Aion-3.0 is 1.8x cheaper for API usage (input + output tokens combined).
Gemini 3.6 Flash has a larger context window (1M vs 131K tokens).
Gemini 3.6 Flash is faster at 185 tok/s vs 80 tok/s.

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

Feature	Aion-3.0	Gemini 3.6 Flash
Intelligence Index Composite reasoning & knowledge score (0-100)	83	84
Provider	AionLabs	Google
Input Price Cost per million input tokens	$0.50 / 1M	$0.75 / 1M
Output Price Cost per million output tokens	$2.00 / 1M	$3.75 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.34 / 1M	$0.66 / 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	66K
Throughput Speed Tokens generated per second	80 tok/s	185 tok/s
SWE-bench Verified Real-world software engineering	N/A	72%
GPQA Diamond Graduate-level reasoning	63.5%	82.4%
Cached Input Price Prompt caching discount per 1M tokens	$0.05 / 1M	$0.19 / 1M

Wer gewinnt in welcher Disziplin?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Aion-3.0

1.8x cheaper monthly runtime

Speed

Gemini 3.6 Flash

+131% faster generation

Context

Gemini 3.6 Flash

1.05M tokens window

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Aion-3.0Gemini 3.6 Flash

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

N/Avs72%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

63.5%vs82.4%

MMLU-Pro (Multi-task Language Understanding)

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

80%vs87.8%

LMSYS Chatbot Arena Elo

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

1335ptsvs1460pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs185 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

Aion-3.00.52s

Gemini 3.6 Flash0.37s

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

Aion-3.06.77s

Gemini 3.6 Flash3.07s

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)

Aion-3.0 Monthly API Bill

$2.63 / month

$0.5/1M in · $2/1M out

Gemini 3.6 Flash Monthly API Bill

$4.78 / month

$0.75/1M in · $3.75/1M out

Aion-3.0 saves approximately $2.16 / month (45%) under this workload.1.8x Savings

Aion-3.0 · Strengths & Key Advantages

131K Kontextfenster und bis zu 16K maximale Output-Token (GPQA Diamond 63.5% · MMLU-Pro 80%)
Hohe Generierungsgeschwindigkeit von 80 Token/Sekunde bei nur 520 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.5/$2 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

Gemini 3.6 Flash · Strengths & Key Advantages

1.0M Kontextfenster und bis zu 66K maximale Output-Token (SWE-bench Verified 72% · GPQA Diamond 82.4%)
Hohe Generierungsgeschwindigkeit von 185 Token/Sekunde bei nur 370 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.75/$3.75 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	Aion-3.0	Gemini 3.6 Flash
Cost per Task Estimated USD to finish one task	$0.16	$1.02
Output Tokens / Task Tokens generated per task	20K	39K
Reasoning Tokens / Task Thinking tokens burned per task	7K	19K

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Feature	Aion-3.0	Gemini 3.6 Flash
Official API Model ID (SDK)	aion-3-0	models/gemini-3-6-flash
API Protocol	AionLabs REST API (OpenAI-Compatible)	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2026-07	2026-07
Knowledge Cutoff	May 2026	March 2026
Architecture	Deliberate Scientific Reasoning Transformer	Enhanced multimodal mixture-of-experts
Parameters	Confidential	Confidential
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 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 ($0.5/1M in) across full 131K window	Standard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTL	Cached input at $0.05/1M tokens	Implicit + Explicit Context Caching at $0.1875/1M with configurable TTL
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	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	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Vertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
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	AionLabs Production Safety & Alignment 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	text, vision, audio, video
Output Modalities	text	text

Aion-3.0 vs Gemini 3.6 Flash: Schnelle Antworten (FAQ)

Which is more intelligent, Aion-3.0 or Gemini 3.6 Flash?

Gemini 3.6 Flash is more intelligent. It scores 84 compared with 83 on the composite Intelligence Index.

Which model is faster?

Gemini 3.6 Flash is faster, generating 185 tokens per second compared with 80 tokens per second.

Which model is cheaper to run?

Aion-3.0 is cheaper at $0.34 per 1M tokens blended, compared with $0.66 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Gemini 3.6 Flash has lower latency, with a time to first token of 0.37s compared with 0.52s.

Which model has a larger context window?

Gemini 3.6 Flash has a larger context window, supporting 1.05M tokens compared with 131.1K tokens.

Fazit

Sowohl Aion-3.0 (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Gemini 3.6 Flash (Optimal für autonomes Software-Engineering, Code-Refactoring und komplexe Fehleranalyse, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Gemini 3.6 Flash führt bei komplexem Reasoning und Coding, Gemini 3.6 Flash liefert den höheren Token-Durchsatz und Aion-3.0 ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Aion-3.0 oder Gemini 3.6 Flash?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Gemini 3.6 Flash vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Aion-3.0 und Gemini 3.6 Flash?+

Aion-3.0 kostet $0.50 / $2.00 pro 1M Input-/Output-Tokens, Gemini 3.6 Flash liegt bei $0.75 / $3.75. Beim gewichteten Gesamtpreis ist Aion-3.0 günstiger.

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

Aion-3.0 bietet 131.1K Tokens Kontext gegenüber 1.05M Tokens bei Gemini 3.6 Flash. Bei der Generierungsgeschwindigkeit liegt Gemini 3.6 Flash 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)

Aion-3.0 vs Gemini 3.6 Flash

Beliebige Modelle wechseln & vergleichen

Aion-3.0

Gemini 3.6 Flash

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Aion-3.0 · Strengths & Key Advantages

Considerations & Trade-offs

Gemini 3.6 Flash · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Aion-3.0 vs Gemini 3.6 Flash: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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