Choose AionLabs: Aion-1.0 if…
- cost matters at scale — it is 76% cheaper on a typical 3:1 input/output mix ($460 vs $1,762 a month for 50,000 support chats)
Neither wins outright: AionLabs: Aion-1.0 is the pick when cost matters at scale, OpenAI: GPT-5 Pro (batch) when you need to fit long inputs in one request.
| Spec | AionLabs: Aion-1.0 | OpenAI: GPT-5 Pro (batch) |
|---|---|---|
| Provider | Aion Labs | OpenAI |
| Input price (per 1M tokens) | $4.00 | $7.50 |
| Output price (per 1M tokens) | $8.00 | $60.00 |
| Blended price (3:1 input/output) | $5.00 | $20.63 |
| Cheaper than … of all models we track | 10% | 2% |
| Context window | 131K tokens (~197 pages) | 400K tokens (~600 pages) |
| Larger context than … of all models | 22% | 63% |
| Max output per response | 33K tokens (~24,600 words) | 128K tokens (~96,000 words) |
| Input types | text | image, text, file |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2025-02-04 | 2025-10-06 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | AionLabs: Aion-1.0 | OpenAI: GPT-5 Pro (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $460 | $1,762 | AionLabs: Aion-1.0 saves $1,302 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $560 | $1,500 | AionLabs: Aion-1.0 saves $940 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $576 | $1,620 | AionLabs: Aion-1.0 saves $1,044 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $368 | $960 | AionLabs: Aion-1.0 saves $592 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $208 | $435 | AionLabs: Aion-1.0 saves $227 |
| Capability | AionLabs: Aion-1.0 | OpenAI: GPT-5 Pro (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | — | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | — | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | ✓ Yes | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | ✓ Yes | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | ✓ Yes | answer from live web results |
| Seed (reproducible sampling) | — | ✓ Yes | repeat a generation for tests and evals |
| Log-probabilities | — | — | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
Neither wins outright: AionLabs: Aion-1.0 is the pick when cost matters at scale, OpenAI: GPT-5 Pro (batch) when you need to fit long inputs in one request. In short: AionLabs: Aion-1.0 when cost matters at scale; OpenAI: GPT-5 Pro (batch) when you need to fit long inputs in one request, you need tool / function calling, you need structured output (JSON schema), you need image input, you need file / PDF input, you need built-in web search, you need seed (reproducible sampling), you generate long outputs in one go, you want the newer model.
AionLabs: Aion-1.0 is cheaper: $5.00 vs $20.63 per 1M tokens at a typical 3:1 input/output mix, 76% less. For 50,000 support conversations a month that is $460 against $1,762.
AionLabs: Aion-1.0 costs $4.00 per 1M input tokens and $8.00 per 1M output tokens; OpenAI: GPT-5 Pro (batch) costs $7.50 input and $60.00 output. Output tokens are billed separately, so long answers shift the gap.
OpenAI: GPT-5 Pro (batch): 400K tokens, about 600 pages, against 131K (about 197 pages) for AionLabs: Aion-1.0.
Tool calling — AionLabs: Aion-1.0: not advertised, OpenAI: GPT-5 Pro (batch): yes. JSON-schema structured output — AionLabs: Aion-1.0: not advertised, OpenAI: GPT-5 Pro (batch): yes.
Only OpenAI: GPT-5 Pro (batch) accepts image input; AionLabs: Aion-1.0 is text-only for input.
No free variant is listed for either; both are pay-per-token.
AionLabs: Aion-1.0 can write up to 33K tokens (about 24,600 words) per response; OpenAI: GPT-5 Pro (batch) up to 128K (about 96,000 words).
AionLabs: Aion-1.0 was listed on 2025-02-04; OpenAI: GPT-5 Pro (batch) on 2025-10-06.
Aion-1.0 is a multi-model system designed for high performance across various tasks, including reasoning and coding. It is built on DeepSeek-R1, augmented with additional models and techniques such as Tree of Thoughts (ToT) and Mixture of Experts (MoE). It is Aion Lab's most powerful reasoning model.
Full AionLabs: Aion-1.0 specs →GPT-5 Pro is OpenAI’s most advanced model, offering major improvements in reasoning, code quality, and user experience. It is optimized for complex tasks that require step-by-step reasoning, instruction following, and...
Full OpenAI: GPT-5 Pro (batch) specs →