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Head-to-Head Model Comparison

Aion-Mini vs Gemini 4 Argon

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs 연구팀 검토 완료최종 검토일: October 2026편집 정책
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AionLabsGooglelightweightflagship

Compare Aion-Mini by AionLabs against Gemini 4 Argon by Google across real-world coding, reasoning, token economics, and latency.

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AionLabs

Aion-Mini

심층 추론 모델

AionLabs의 Aion-Mini 모델은 131K 토큰 컨텍스트 윈도우와 입력 $0.08/1M 토큰, 출력 $0.32/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.

Intelligence Index74 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.32 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Google

Gemini 4 Argon

심층 추론 모델

Google의 Gemini 4 Argon 모델은 1M 토큰 컨텍스트 윈도우와 입력 $2/1M 토큰, 출력 $10/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.

Intelligence Index97 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.9%

한눈에 보는 핵심 차이점

  • Aion-Mini is 28.9x cheaper for API usage (input + output tokens combined).
  • Gemini 4 Argon has a larger context window (1M vs 131K tokens).
  • Aion-Mini is faster at 150 tok/s vs 115 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAion-MiniGemini 4 Argon
Intelligence Index
Composite reasoning & knowledge score (0-100)
7497
Provider
AionLabsGoogle
Input Price
Cost per million input tokens
$0.08 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$0.32 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.05 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
131.1K tokens~197 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
8K1000K
Throughput Speed
Tokens generated per second
150 tok/s115 tok/s
SWE-bench Verified
Real-world software engineering
N/A81.9%
GPQA Diamond
Graduate-level reasoning
N/A81.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.10 / 1M

부문별 우위 모델

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Aion-Mini
28.9x cheaper monthly runtime
Speed
Aion-Mini
+30% faster generation
Context
Gemini 4 Argon
1M tokens window

검증된 벤치마크 점수 비교

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

Aion-MiniGemini 4 Argon
SWE-bench Verified (Autonomous Coding)

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

N/Avs81.9%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs81.5%
MMLU-Pro (Multi-task Language Understanding)

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

71%vs90.8%
LMSYS Chatbot Arena Elo

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

1255ptsvs1525pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs18.9%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

N/Avs57.4%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs56.4%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs80.5%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs94.8%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

N/Avs96.4%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

150 tok/s vs115 tok/s

지연 시간(Latency) 및 응답 속도

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-Mini0.28s
Gemini 4 Argon0.85s
Est. End-to-End Response (500 tokens)TTFT + generation time
Aion-Mini3.61s
Gemini 4 Argon5.20s

실시간 API 토큰 비용 시뮬레이터

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-Mini Monthly API Bill
$0.42 / month
$0.08/1M in · $0.32/1M out
Gemini 4 Argon Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
Aion-Mini saves approximately $11.73 / month (97%) under this workload.28.9x Savings

Aion-Mini · Strengths & Key Advantages

  • AionLabs의 첨단 Compact Scientific Routing Transformer 아키텍처와 최대 131K 토큰 컨텍스트 지원
  • 경쟁력 있는 API 가격(입력 $0.08/1M, 출력 $0.32/1M)과 빠른 응답 속도
  • 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
  • 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
  • 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨

Gemini 4 Argon · Strengths & Key Advantages

  • Google의 첨단 Pathways Multimodal Sparse Mixture-of-Experts 아키텍처와 최대 1M 토큰 컨텍스트 지원
  • 경쟁력 있는 API 가격(입력 $2/1M, 출력 $10/1M)과 빠른 응답 속도
  • 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
  • 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
  • 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨

Token Use & Task Economics

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

MetricAion-MiniGemini 4 Argon
Cost per Task
Estimated USD to finish one task
$0.03$2.45
Output Tokens / Task
Tokens generated per task
10K75K
Reasoning Tokens / Task
Thinking tokens burned per task
1K36K

기술 사양 (Specifications)

Architecture, release timeline, capabilities, and modalities.

FeatureAion-MiniGemini 4 Argon
Official API Model ID (SDK)aion-minimodels/gemini-4-argon
API ProtocolAionLabs REST API (OpenAI-Compatible)Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2026-072026-09
Knowledge CutoffMay 2026June 2026
ArchitectureCompact Scientific Routing TransformerPathways Multimodal Sparse 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 ($0.08/1M in) across full 131K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.008/1M tokensImplicit + Explicit Context Caching at $0.1/1M 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-Mini vs Gemini 4 Argon: 핵심 요약 문답 (FAQ)

Which is more intelligent, Aion-Mini or Gemini 4 Argon?

Gemini 4 Argon is more intelligent. It scores 97 compared with 74 on the composite Intelligence Index.

Which model is faster?

Aion-Mini is faster, generating 150 tokens per second compared with 115 tokens per second.

Which model is cheaper to run?

Aion-Mini is cheaper at $0.05 per 1M tokens blended, compared with $1.47 (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 0.85s.

Which model has a larger context window?

Gemini 4 Argon has a larger context window, supporting 1M tokens compared with 131.1K tokens.

종합 평가

Choose Aion-Mini for 기업 업무 자동화, 소프트웨어 개발, 자율형 ai 에이전트 및 aionlabs 기반 프로덕션 파이프라인, or choose Gemini 4 Argon for 기업 업무 자동화, 소프트웨어 개발, 자율형 ai 에이전트 및 google 기반 프로덕션 파이프라인.

자주 묻는 질문 (FAQ)

Which is cheaper: Aion-Mini or Gemini 4 Argon?+

Aion-Mini costs $0.08/1M input and $0.32/1M output tokens, while Gemini 4 Argon costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Aion-Mini or Gemini 4 Argon?+

Aion-Mini supports 131K tokens whereas Gemini 4 Argon supports 1M tokens.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

공식 출처: AionLabs & Google Official Documentation