Head-to-Head Model Comparison

Aion-3.0 vs Gemini 3.6 Flash

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Aion-3.0 vs Gemini 3.6 Flash: Benchmarks, Pricing & Speed Comparison

Aion-3.0 di AionLabs e Gemini 3.6 Flash di Google sono due modelli di IA di riferimento. Aion-3.0 offre una finestra di contesto di 131.1K token a $0.50/$2.00 per milione di token, mentre Gemini 3.6 Flash mette a disposizione 1.05M token di contesto a $0.75/$3.75 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Popular Matchups:
AionLabs

Aion-3.0

Motore di Ragionamento Profondo

Aion-3.0 di AionLabs è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 131K, velocità di 80 token/s, indice di intelligenza di 83/100 e tariffa di

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

Leader in Programmazione e Codice

Gemini 3.6 Flash di Google è un modello di IA progettato per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, con finestra di contesto da 1.0M, velocità di 185 token/s, indice di intelligenza di 84/100 e ta

Intelligence Index84 / 100
Input Token:

$0.75 / 1M

Output Token:

$3.75 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

72%

Differenze Chiave a Colpo d’Occhio

  • 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 →
FeatureAion-3.0Gemini 3.6 Flash
Intelligence Index
Composite reasoning & knowledge score (0-100)
8384
Provider
AionLabsGoogle
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 text1.05M tokens~1,573 A4 pages of text
Max Output Tokens
Per single request
16K66K
Throughput Speed
Tokens generated per second
80 tok/s185 tok/s
SWE-bench Verified
Real-world software engineering
N/A72%
GPQA Diamond
Graduate-level reasoning
63.5%82.4%
Cached Input Price
Prompt caching discount per 1M tokens
$0.05 / 1M$0.19 / 1M

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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

100K / day
10K500K1M
30K / day
5K150K300K
50% 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

  • Finestra di contesto da 131K con capacità massima di output fino a 16K token (GPQA Diamond 63.5% · MMLU-Pro 80%)
  • Throughput elevato di 80 token/secondo con latenza al primo token (TTFT) di soli 520 ms
  • Economia API competitiva ($0.5/$2 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Gemini 3.6 Flash · Strengths & Key Advantages

  • Finestra di contesto da 1.0M con capacità massima di output fino a 66K token (SWE-bench Verified 72% · GPQA Diamond 82.4%)
  • Throughput elevato di 185 token/secondo con latenza al primo token (TTFT) di soli 370 ms
  • Economia API competitiva ($0.75/$3.75 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Token Use & Task Economics

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

MetricAion-3.0Gemini 3.6 Flash
Cost per Task
Estimated USD to finish one task
$0.16$1.02
Output Tokens / Task
Tokens generated per task
20K39K
Reasoning Tokens / Task
Thinking tokens burned per task
7K19K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureAion-3.0Gemini 3.6 Flash
Official API Model ID (SDK)aion-3-0models/gemini-3-6-flash
API ProtocolAionLabs REST API (OpenAI-Compatible)Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2026-072026-07
Knowledge CutoffMay 2026March 2026
ArchitectureDeliberate Scientific Reasoning TransformerEnhanced multimodal mixture-of-experts
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM10,000 – 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 windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.05/1M tokensImplicit + Explicit Context Caching at $0.1875/1M with configurable TTL
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationVertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token BillingText 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 VRAMCloud-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 ClassificationAionLabs Production Safety & Alignment VerifiedGoogle DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext, vision, audio, video
Output Modalitiestexttext

Aion-3.0 vs Gemini 3.6 Flash: Risposte Rapide (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.

Verdetto

Sia Aion-3.0 (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) sia Gemini 3.6 Flash (Ideale per l’ingegneria del software autonoma, il refactoring multi-file e il debug avanzato, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Gemini 3.6 Flash guida nei benchmark di ragionamento e programmazione, Gemini 3.6 Flash garantisce una generazione più rapida e Aion-3.0 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Aion-3.0 o Gemini 3.6 Flash?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Gemini 3.6 Flash. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Aion-3.0 e Gemini 3.6 Flash?+

Aion-3.0 costa $0.50 / $2.00 per milione di token di input/output, mentre Gemini 3.6 Flash costa $0.75 / $3.75. Nel costo combinato, Aion-3.0 risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Aion-3.0 supporta 131.1K token di contesto contro 1.05M token di Gemini 3.6 Flash, mentre Gemini 3.6 Flash offre una velocità di generazione superiore.

AI Terminology & Guide
Explore Glossary →

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

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Fonti ufficiali: Documentazione API ufficiale di AionLabs e Google, schede di sistema e benchmark indipendenti (2026).