Laguna XS 2.1 vs Aion-3.0
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Laguna XS 2.1 da Poolside e Aion-3.0 da AionLabs são dois modelos de IA de destaque. O Laguna XS 2.1 oferece uma janela de contexto de 262.1K tokens a $0.05/$0.20 por milhão de tokens, enquanto o Aion-3.0 oferece 131.1K tokens de contexto a $0.50/$2.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.
Troque e Compare Qualquer Modelo
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Laguna XS 2.1
Líder em Programação e CódigoO Laguna XS 2.1 da Poolside é um modelo de IA projetado para engenharia de software autônoma, refatoração de código e depuração avançada, oferecendo janela de contexto de 262K, velocidade de 165 tokens/s, índice de inteligência de 77/100 e
$0.05 / 1M
$0.20 / 1M
262.1K tokens
N/A
Aion-3.0
Motor de Raciocínio ProfundoO Aion-3.0 da AionLabs é um modelo de IA projetado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, oferecendo janela de contexto de 131K, velocidade de 80 tokens/s, índice de inteligência de 83/100 e
$0.50 / 1M
$2.00 / 1M
131.1K tokens
N/A
Principais Diferenças em Resumo
- Laguna XS 2.1 is 10.0x 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 80 tok/s.
| Feature | Laguna XS 2.1 | Aion-3.0 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 77 | 83 |
Provider | Poolside | AionLabs |
Input Price Cost per million input tokens | $0.05 / 1M | $0.50 / 1M |
Output Price Cost per million output tokens | $0.20 / 1M | $2.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.03 / 1M | $0.34 / 1M |
Context Window Maximum input + output tokens | 262.1K tokens~393 A4 pages of text | 131.1K tokens~197 A4 pages of text |
Max Output Tokens Per single request | 8K | 16K |
Throughput Speed Tokens generated per second | 165 tok/s | 80 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/A |
GPQA Diamond Graduate-level reasoning | N/A | 63.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $0.05 / 1M |
Quem vence em cada categoria?
At-a-glance decision frameworkEvaluations ongoing
Pontuações de Benchmarks Verificadas
Official evaluation metrics verified by independent third-party research labs.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Contamination-free competitive programming problems collected continuously over time.
Tokens emitted per second during active generation streaming.
Latência e Tempo de Resposta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interativo de Custo de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Laguna XS 2.1 · Strengths & Key Advantages
- Janela de contexto de 262K com limite máximo de saída de 8K tokens (MMLU-Pro 74% · Arena Elo 1280)
- Taxa de transferência rápida de 165 tokens/segundo com latência inicial (TTFT) de 240 ms
- Economia de API competitiva ($0.05/$0.2 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade
Aion-3.0 · Strengths & Key Advantages
- Janela de contexto de 131K com limite máximo de saída de 16K tokens (GPQA Diamond 63.5% · MMLU-Pro 80%)
- Taxa de transferência rápida de 80 tokens/segundo com latência inicial (TTFT) de 520 ms
- Economia de API competitiva ($0.5/$2 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
- Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
- Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Laguna XS 2.1 | Aion-3.0 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.01 | $0.16 |
Output Tokens / Task Tokens generated per task | 12K | 20K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 7K |
Especificações Técnicas
Architecture, release timeline, capabilities, and modalities.
| Feature | Laguna XS 2.1 | Aion-3.0 |
|---|---|---|
| Official API Model ID (SDK) | laguna-xs-2-1 | aion-3-0 |
| API Protocol | Poolside REST API (OpenAI-Compatible) | AionLabs REST API (OpenAI-Compatible) |
| Release Date | 2026-07 | 2026-07 |
| Knowledge Cutoff | May 2026 | May 2026 |
| Architecture | Ultra-Fast Code Optimization Transformer | Deliberate Scientific Reasoning Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.05/1M in) across full 262K window | Flat rate ($0.5/1M in) across full 131K window |
| Prompt Cache Policy & TTL | Cached input at $0.005/1M tokens | Cached input at $0.05/1M tokens |
| Computer Use / GUI Agent | API / 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 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 | Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | API Prompt Engineering & RAG Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) | Text BPE (~4 chars/token) |
| 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 | Poolside Production Safety & Alignment Verified | AionLabs Production Safety & Alignment 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 |
| Output Modalities | text | text |
Laguna XS 2.1 vs Aion-3.0: Respostas Rápidas (FAQ)
Which is more intelligent, Laguna XS 2.1 or Aion-3.0?
Aion-3.0 is more intelligent. It scores 83 compared with 77 on the composite Intelligence Index.
Which model is faster?
Laguna XS 2.1 is faster, generating 165 tokens per second compared with 80 tokens per second.
Which model is cheaper to run?
Laguna XS 2.1 is cheaper at $0.03 per 1M tokens blended, compared with $0.34 (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 0.52s.
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.
Veredito
Tanto Laguna XS 2.1 (Indicado para engenharia de software autônoma, refatoração de código e depuração avançada, arquiteturas RAG corporativas e integração escalável via API.) quanto Aion-3.0 (Indicado para raciocínio lógico profundo, matemática avançada e análise científica passo a passo, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Aion-3.0 lidera em inteligência geral e programação, Laguna XS 2.1 oferece geração mais rápida e Laguna XS 2.1 apresenta o melhor custo-benefício em produção.
Perguntas Frequentes (FAQ)
Qual é melhor para programação e raciocínio, Laguna XS 2.1 ou Aion-3.0?+
Nas avaliações de inteligência e código, Aion-3.0 leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.
Qual modelo tem a API mais barata, Laguna XS 2.1 ou Aion-3.0?+
O Laguna XS 2.1 custa $0.05 / $0.20 por 1M de tokens (entrada/saída) e o Aion-3.0 custa $0.50 / $2.00. No custo combinado, Laguna XS 2.1 é mais econômico.
Qual modelo possui maior janela de contexto e velocidade?+
O Laguna XS 2.1 suporta 262.1K tokens de contexto contra 131.1K tokens do Aion-3.0, enquanto Laguna XS 2.1 entrega maior velocidade de geração.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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.
Fontes oficiais: Documentação oficial de API da Poolside e AionLabs e benchmarks independentes (2026).