Aion-3.0 vs Aion-Mini
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
AionLabs 的 Aion-3.0 与 AionLabs 的 Aion-Mini 是当前备受关注的两款主力 AI 模型。Aion-3.0 提供 131.1K Token 上下文窗口，API 定价为每百万 Token 输入 $0.50 / 输出 $2.00；而 Aion-Mini 提供 131.1K Token 上下文窗口，定价为每百万 Token 输入 $0.08 / 输出 $0.32。以下为两者的基准测试、延迟与成本全面对比。
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Aion-3.0
深度逻辑推理引擎AionLabs 推出的 Aion-3.0 是一款专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理大模型，具备 131K 上下文窗口、80 Token/秒生成速度与 83/100 综合智能指数（每百万 Token $0.5 输入 / $2 输出）。
$0.50 / 1M
$2.00 / 1M
131.1K tokens
N/A
Aion-Mini
深度逻辑推理引擎AionLabs 推出的 Aion-Mini 是一款专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理大模型，具备 131K 上下文窗口、150 Token/秒生成速度与 74/100 综合智能指数（每百万 Token $0.08 输入 / $0.32 输出）。
$0.08 / 1M
$0.32 / 1M
131.1K tokens
N/A
核心差异一览
- 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.
| Feature | Aion-3.0 | Aion-Mini |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 83 | 74 |
Provider | AionLabs | AionLabs |
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 text | 131.1K tokens~197 A4 pages of text |
Max Output Tokens Per single request | 16K | 8K |
Throughput Speed Tokens generated per second | 80 tok/s | 150 tok/s |
SWE-bench Verified Real-world software engineering | N/A | N/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 |
各项指标谁更胜一筹？
At-a-glance decision frameworkEvaluations ongoing
权威基准测试得分对比
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.
Tokens emitted per second during active generation streaming.
延迟与响应速度
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
实时 Token 成本模拟器
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Aion-3.0 · Strengths & Key Advantages
- 提供 131K 上下文窗口与最高 16K 输出容量，核心基准表现优异（GPQA Diamond 63.5% · MMLU-Pro 80%）
- 高达 80 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 520 毫秒
- 极具竞争力的 API 定价（每百万 Token $0.5 输入 / $2 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
- 闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
- 在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型
Aion-Mini · Strengths & Key Advantages
- 提供 131K 上下文窗口与最高 8K 输出容量，核心基准表现优异（MMLU-Pro 71% · Arena Elo 1255）
- 高达 150 Token/秒的生成吞吐量，首字延迟 (TTFT) 仅约 280 毫秒
- 极具竞争力的 API 定价（每百万 Token $0.08 输入 / $0.32 输出），原生支持提示词缓存、函数调用与结构化 JSON 输出
Considerations & Trade-offs
- 闭源专有云端模型，不支持下载权重进行离线本地物理隔离部署
- 在超长链路的前沿科研推导任务上，深度略逊于顶配重型旗舰推理模型
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Aion-3.0 | Aion-Mini |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.16 | $0.03 |
Output Tokens / Task Tokens generated per task | 20K | 10K |
Reasoning Tokens / Task Thinking tokens burned per task | 7K | 1K |
技术规格参数
Architecture, release timeline, capabilities, and modalities.
| Feature | Aion-3.0 | Aion-Mini |
|---|---|---|
| Official API Model ID (SDK) | aion-3-0 | aion-mini |
| API Protocol | AionLabs REST API (OpenAI-Compatible) | AionLabs REST API (OpenAI-Compatible) |
| Release Date | 2026-07 | 2026-07 |
| Knowledge Cutoff | May 2026 | May 2026 |
| Architecture | Deliberate Scientific Reasoning Transformer | Compact Scientific Routing 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 ($0.5/1M in) across full 131K window | Flat rate ($0.08/1M in) across full 131K window |
| Prompt Cache Policy & TTL | Cached input at $0.05/1M tokens | Cached input at $0.008/1M 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 | AionLabs 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 |
Aion-3.0 vs Aion-Mini: 常见问题解答 (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.
综合结论
综合来看，Aion-3.0（适合：专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）与 Aion-Mini（适合：专为博士级数理逻辑、科学推导与多步思维链 (CoT) 设计的深度推理任务、企业级 RAG 检索增强生成、自动化智能体工作流与高可靠 API 集成。）各具优势：Aion-3.0 在综合智能与编程基准测试中表现更强，Aion-Mini 拥有更快的 Token 生成速度，而 Aion-Mini 则在规模化 API 部署中具备更高的成本效益。
常见问题 (FAQ)
在编程和深度推理方面，Aion-3.0 和 Aion-Mini 哪个更强？+
在综合智能指数与编程基准评测中，Aion-3.0 表现占优。建议结合上方的 SWE-bench Verified 与 GPQA Diamond 跑分根据具体场景选择。
Aion-3.0 与 Aion-Mini 的 API 价格哪个更便宜？+
Aion-3.0 的 API 价格为输入 $0.50 / 输出 $2.00（每百万 Token），Aion-Mini 为输入 $0.08 / 输出 $0.32。综合混合成本来看，Aion-Mini 更具性价比。
哪款模型拥有更大的上下文窗口和更快的响应速度？+
Aion-3.0 支持 131.1K Token 上下文窗口，而 Aion-Mini 支持 131.1K Token。在流式生成速度方面，Aion-Mini 的吞吐表现更快。
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.
数据来源: AionLabs 与 AionLabs 官方 API 文档、模型发布说明及独立基准测试报告 (2026)。