Head-to-Head Model Comparison

Aion-3.0 vs Aion-Mini

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
Bagikan
Related topics (12)
AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Aion-3.0 vs Aion-Mini: Benchmarks, Pricing & Speed Comparison

Aion-3.0 dari AionLabs dan Aion-Mini dari AionLabs adalah dua model AI unggulan. Aion-3.0 menawarkan jendela konteks 131.1K token dengan harga $0.50/$2.00 per 1 juta token, sedangkan Aion-Mini menyediakan konteks 131.1K token seharga $0.08/$0.32 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

Ganti & Bandingkan Model Apa Saja

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Profile
Profile
Multi-Model Arena Stack:
5-Model Matrix Workbench
Popular Matchups:
AionLabs

Aion-3.0

Mesin Penalaran Mendalam

Aion-3.0 dari AionLabs adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 131K, kecepatan 80 token/detik, indeks kecerdasan 83/100, serta tarif $0.5/$2

Intelligence Index83 / 100
Input Token:

$0.50 / 1M

Output Token:

$2.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

AionLabs

Aion-Mini

Mesin Penalaran Mendalam

Aion-Mini dari AionLabs adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 131K, kecepatan 150 token/detik, indeks kecerdasan 74/100, serta tarif $0.08

Intelligence Index74 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.32 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

  • Aion-Mini is 6.2x cheaper for API usage (input + output tokens combined).
  • Aion-Mini is faster at 150 tok/s vs 80 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAion-3.0Aion-Mini
Intelligence Index
Composite reasoning & knowledge score (0-100)
8374
Provider
AionLabsAionLabs
Input Price
Cost per million input tokens
$0.50 / 1M$0.08 / 1M
Output Price
Cost per million output tokens
$2.00 / 1M$0.32 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.34 / 1M$0.05 / 1M
Context Window
Maximum input + output tokens
131.1K tokens~197 A4 pages of text131.1K tokens~197 A4 pages of text
Max Output Tokens
Per single request
16K8K
Throughput Speed
Tokens generated per second
80 tok/s150 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
63.5%N/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.05 / 1M$0.01 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Aion-Mini
6.2x cheaper monthly runtime
Speed
Aion-Mini
+88% faster generation
Context
Tied
131.1K tokens window

Skor Benchmark Terverifikasi

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

Aion-3.0Aion-Mini
GPQA Diamond (Doctorate-Level Science & Math)

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

63.5%vsN/A
MMLU-Pro (Multi-task Language Understanding)

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

80%vs71%
LMSYS Chatbot Arena Elo

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

1335ptsvs1255pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs150 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
Aion-3.00.52s
Aion-Mini0.28s
Est. End-to-End Response (500 tokens)TTFT + generation time
Aion-3.06.77s
Aion-Mini3.61s

Simulator Biaya Token Interaktif

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
Aion-Mini Monthly API Bill
$0.42 / month
$0.08/1M in · $0.32/1M out
Aion-Mini saves approximately $2.21 / month (84%) under this workload.6.2x Savings

Aion-3.0 · Strengths & Key Advantages

  • Jendela konteks 131K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 63.5% · MMLU-Pro 80%)
  • Kecepatan generasi tinggi 80 token/detik dengan latensi token pertama (TTFT) hanya 520 ms
  • Skema harga API kompetitif (tarif $0.5/$2 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

Aion-Mini · Strengths & Key Advantages

  • Jendela konteks 131K dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 71% · Arena Elo 1255)
  • Kecepatan generasi tinggi 150 token/detik dengan latensi token pertama (TTFT) hanya 280 ms
  • Skema harga API kompetitif (tarif $0.08/$0.32 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.

MetricAion-3.0Aion-Mini
Cost per Task
Estimated USD to finish one task
$0.16$0.03
Output Tokens / Task
Tokens generated per task
20K10K
Reasoning Tokens / Task
Thinking tokens burned per task
7K1K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureAion-3.0Aion-Mini
Official API Model ID (SDK)aion-3-0aion-mini
API ProtocolAionLabs REST API (OpenAI-Compatible)AionLabs REST API (OpenAI-Compatible)
Release Date2026-072026-07
Knowledge CutoffMay 2026May 2026
ArchitectureDeliberate Scientific Reasoning TransformerCompact Scientific Routing Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.5/1M in) across full 131K windowFlat rate ($0.08/1M in) across full 131K window
Prompt Cache Policy & TTLCached input at $0.05/1M tokensCached input at $0.008/1M tokens
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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 toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
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 VerifiedAionLabs Production Safety & Alignment 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
Output Modalitiestexttext

Aion-3.0 vs Aion-Mini: Jawaban Cepat (FAQ)

Which is more intelligent, Aion-3.0 or Aion-Mini?

Aion-3.0 is more intelligent. It scores 83 compared with 74 on the composite Intelligence Index.

Which model is faster?

Aion-Mini is faster, generating 150 tokens per second compared with 80 tokens per second.

Which model is cheaper to run?

Aion-Mini is cheaper at $0.05 per 1M tokens blended, compared with $0.34 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Aion-Mini has lower latency, with a time to first token of 0.28s compared with 0.52s.

Kesimpulan

Baik Aion-3.0 (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Aion-Mini (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Aion-3.0 unggul dalam penalaran dan pemrograman, Aion-Mini memberikan kecepatan generasi token lebih tinggi, dan Aion-Mini lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Aion-3.0 atau Aion-Mini?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Aion-3.0 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Aion-3.0 vs Aion-Mini?+

Aion-3.0 mengenakan biaya $0.50 / $2.00 per 1M token input/output, sedangkan Aion-Mini sebesar $0.08 / $0.32. Secara keseluruhan, Aion-Mini lebih hemat biaya.

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

Aion-3.0 mendukung konteks 131.1K token dibandingkan 131.1K token pada Aion-Mini, sementara Aion-Mini 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.

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.

Sumber resmi: Dokumentasi API resmi AionLabs & AionLabs serta evaluasi benchmark independen (2026).