Head-to-Head Model Comparison

Aion-Mini vs Laguna XS 2.1

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Проверено исследовательской группой GetInfoUsПоследняя проверка: October 2026Редакционная политика
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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-Mini vs Laguna XS 2.1: Benchmarks, Pricing & Speed Comparison

Aion-Mini by AionLabs and Laguna XS 2.1 by Poolside represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Laguna XS 2.1 holds a notable pricing advantage for token ingestion. On output generation, Laguna XS 2.1 is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Laguna XS 2.1 provides an expanded memory horizon with 262K tokens. In latency-sensitive production environments, Laguna XS 2.1 leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.

Прямое сравнение (VS)

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Popular Matchups:
AionLabs

Aion-Mini

Модель глубокого рассуждения

Aion-Mini от AionLabs — передовая модель искусственного интеллекта с контекстным окном 131K токенов и стоимостью API $0.08/1M входящих и $0.32/1M исходящих токенов для программирования, аналитики и автоматизации.

Intelligence Index74 / 100
Input Token:

$0.08 / 1M

Output Token:

$0.32 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Poolside

Laguna XS 2.1

Модель глубокого рассуждения

Laguna XS 2.1 от Poolside — передовая модель искусственного интеллекта с контекстным окном 262K токенов и стоимостью API $0.05/1M входящих и $0.2/1M исходящих токенов для программирования, аналитики и автоматизации.

Intelligence Index77 / 100
Input Token:

$0.05 / 1M

Output Token:

$0.20 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Ключевые отличия кратко

  • Laguna XS 2.1 is 1.6x cheaper for API usage (input + output tokens combined).
  • Laguna XS 2.1 has a larger context window (262K vs 131K tokens).
  • Laguna XS 2.1 is faster at 165 tok/s vs 150 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureAion-MiniLaguna XS 2.1
Intelligence Index
Composite reasoning & knowledge score (0-100)
7477
Provider
AionLabsPoolside
Input Price
Cost per million input tokens
$0.08 / 1M$0.05 / 1M
Output Price
Cost per million output tokens
$0.32 / 1M$0.20 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.05 / 1M$0.03 / 1M
Context Window
Maximum input + output tokens
131.1K tokens~197 A4 pages of text262.1K tokens~393 A4 pages of text
Max Output Tokens
Per single request
8K8K
Throughput Speed
Tokens generated per second
150 tok/s165 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.01 / 1M

Кто лидирует в каждой категории?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Laguna XS 2.1
1.6x cheaper monthly runtime
Speed
Laguna XS 2.1
+10% faster generation
Context
Laguna XS 2.1
262.1K tokens window

Результаты проверенных бенчмарков

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

Aion-MiniLaguna XS 2.1
MMLU-Pro (Multi-task Language Understanding)

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

71%vs74%
LMSYS Chatbot Arena Elo

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

1255ptsvs1280pts
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs64%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

150 tok/s vs165 tok/s

Задержка и скорость ответа

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
Laguna XS 2.10.24s
Est. End-to-End Response (500 tokens)TTFT + generation time
Aion-Mini3.61s
Laguna XS 2.13.27s

Интерактивный калькулятор стоимости токенов

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
Laguna XS 2.1 Monthly API Bill
$0.26 / month
$0.05/1M in · $0.2/1M out
Laguna XS 2.1 saves approximately $0.16 / month (37%) under this workload.1.6x Savings

Aion-Mini · Strengths & Key Advantages

  • Современная архитектура Compact Scientific Routing Transformer от AionLabs с поддержкой до 131K токенов контекста
  • Оптимальная стоимость использования ($0.08/1M вход, $0.32/1M выход) и высокая скорость генерации
  • Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
  • При работе с максимальным контекстом требуется контроль расхода токенов
  • Для узкоспециализированных задач рекомендуется точная настройка системных промптов

Laguna XS 2.1 · Strengths & Key Advantages

  • Современная архитектура Ultra-Fast Code Optimization Transformer от Poolside с поддержкой до 262K токенов контекста
  • Оптимальная стоимость использования ($0.05/1M вход, $0.2/1M выход) и высокая скорость генерации
  • Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
  • При работе с максимальным контекстом требуется контроль расхода токенов
  • Для узкоспециализированных задач рекомендуется точная настройка системных промптов

Token Use & Task Economics

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

MetricAion-MiniLaguna XS 2.1
Cost per Task
Estimated USD to finish one task
$0.03$0.01
Output Tokens / Task
Tokens generated per task
10K12K
Reasoning Tokens / Task
Thinking tokens burned per task
1K0K

Технические характеристики

Architecture, release timeline, capabilities, and modalities.

FeatureAion-MiniLaguna XS 2.1
Official API Model ID (SDK)aion-minilaguna-xs-2-1
API ProtocolAionLabs REST API (OpenAI-Compatible)Poolside REST API (OpenAI-Compatible)
Release Date2026-072026-07
Knowledge CutoffMay 2026May 2026
ArchitectureCompact Scientific Routing TransformerUltra-Fast Code Optimization 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 ($0.08/1M in) across full 131K windowFlat rate ($0.05/1M in) across full 262K window
Prompt Cache Policy & TTLCached input at $0.008/1M tokensCached input at $0.005/1M 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 VerifiedPoolside 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-Mini vs Laguna XS 2.1: Быстрые ответы (FAQ)

Which is more intelligent, Aion-Mini or Laguna XS 2.1?

Laguna XS 2.1 is more intelligent. It scores 77 compared with 74 on the composite Intelligence Index.

Which model is faster?

Laguna XS 2.1 is faster, generating 165 tokens per second compared with 150 tokens per second.

Which model is cheaper to run?

Laguna XS 2.1 is cheaper at $0.03 per 1M tokens blended, compared with $0.05 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Laguna XS 2.1 has lower latency, with a time to first token of 0.24s compared with 0.28s.

Which model has a larger context window?

Laguna XS 2.1 has a larger context window, supporting 262.1K tokens compared with 131.1K tokens.

Вердикт

Verdict & Model Selection Recommendation: Choose Aion-Mini if your priority is Scientific paper metadata extraction, lab sample tagging, and rapid medical triage. Its performance in demanding tasks justifies its operational token cost. Choose Laguna XS 2.1 if your workflow prioritizes IDE autocompletion, CI/CD automated test generation, and pull request syntax checking. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.

Часто задаваемые вопросы (FAQ)

How does Aion-Mini compare to Laguna XS 2.1 in API token pricing and cost per token?+

Aion-Mini costs $0.08 per 1M input tokens and $0.32 per 1M output tokens, whereas Laguna XS 2.1 costs $0.05 input and $0.20 output. Overall, Laguna XS 2.1 is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.

Which model has a larger context window: Aion-Mini or Laguna XS 2.1?+

Aion-Mini supports a context window of 131K tokens (~98k words), while Laguna XS 2.1 supports 262K tokens (~197k words). Therefore, Laguna XS 2.1 can process more textual data and document context in a single prompt.

Which AI model is better for software engineering and coding: Aion-Mini or Laguna XS 2.1?+

Aion-Mini scores at the frontier of coding benchmarks, while Laguna XS 2.1 scores competitively for software generation. For complex autonomous debugging and agentic engineering, Aion-Mini provides robust code generation and tool calling.

What is the difference in reasoning capability and extended thinking between Aion-Mini and Laguna XS 2.1?+

Aion-Mini features native chain-of-thought extended thinking mode with configurable reasoning effort. In contrast, Laguna XS 2.1 provides chain-of-thought reasoning depth for complex math and science.

How does inference speed (tokens per second) compare between Aion-Mini and Laguna XS 2.1?+

Aion-Mini generates approximately 150 tokens per second, while Laguna XS 2.1 delivers 165 tokens per second. In latency-sensitive production environments, Laguna XS 2.1 provides faster time-to-first-token (TTFT) and higher streaming response velocity.

Can you implement a tiered LLM routing setup combining Aion-Mini and Laguna XS 2.1 to optimize costs?+

Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Laguna XS 2.1 to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Aion-Mini. This tiered routing pattern cuts overall API bills by up to 70%.

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.

Официальные источники: GetInfoUs Independent AI Benchmarks & Official API Specs