AionLabs: Aion-2.0 vs Anthropic: Claude Opus 4.1
A side-by-side comparison of AionLabs: Aion-2.0 ($2.80 / 1M tokens) and Anthropic: Claude Opus 4.1 ($52.50 / 1M tokens) using current USD prices and capabilities from the api14 catalog. Both run through the same OpenAI-compatible API.
Specifications
| AionLabs: Aion-2.0 | Anthropic: Claude Opus 4.1 | |
|---|---|---|
| Provider | AionLabs | Anthropic |
| Input | $2.80 / 1M tokens | $52.50 / 1M tokens |
| Output | $5.60 / 1M tokens | $262.50 / 1M tokens |
| Cache read | $0.70 / 1M tokens | $5.25 / 1M tokens |
| Cache write | - | $65.63 / 1M tokens |
| Web search | - | $35.00 / 1K searches |
| Context window | 131,072 | 200,000 |
| Max output | 32,768 | 32,000 |
| Input | text | image, text, file |
| Output | text | text |
| Tool calling | ||
| Structured output | ||
| Reasoning control | ||
| Added | Feb 23, 2026 | Aug 5, 2025 |
Key differences
- AionLabs: Aion-2.0 is 95% cheaper on input tokens.
- AionLabs: Aion-2.0 is 98% cheaper on output tokens.
- Anthropic: Claude Opus 4.1 reads 1.5× more context (200,000 tokens).
- A request with 1,000 input and 500 output tokens costs $0.00560 with AionLabs: Aion-2.0 and $0.18 with Anthropic: Claude Opus 4.1.
In depth
AionLabs: Aion-2.0 is a text model from AionLabs, released on 2026-02-23. Anthropic: Claude Opus 4.1 is a text model from Anthropic, released on 2025-08-05. Both are listed on api14 under the text category, and both accept text as input and return text as output. The practical difference at the top level is that Aion-2.0 comes from a newer provider line while Claude Opus 4.1 comes from Anthropic, a name many teams already have in their stack.
The clearest split is in context and modalities. Claude Opus 4.1 has the bigger context window at 200000 tokens, while Aion-2.0 sits at 131072 tokens. Claude Opus 4.1 also accepts image and file input alongside text, so it can take a screenshot, a scanned page or an attached document directly. Aion-2.0 accepts text only. On parameters, both support include_reasoning, max_tokens, reasoning, temperature, tool_choice, tools and top_p. Aion-2.0 adds response_format, which is useful when you want the model to return structured output. Claude Opus 4.1 adds stop and top_k. Neither model is listed as having an exclusive advantage on tools, structured output or reasoning, so treat those as roughly comparable and test on your own workload.
For day to day work, the choice usually comes down to two things: what you are feeding in and how much you are willing to pay. If your input is plain text and you want the cheaper option, Aion-2.0 is the cheaper model on both input and output. That makes it a reasonable default for high volume text tasks such as summarisation, classification, extraction and chat over text documents. If your input includes images or files, or if your prompt plus retrieved context regularly runs past 131072 tokens, Claude Opus 4.1 is the one that fits, because Aion-2.0 cannot take those modalities and will not hold that much context.
Calling either model through api14 works the same way, because the API is OpenAI compatible. You point your client at the api14 base URL, send your usual chat completions request, and set the model field to the id you want. To use Aion-2.0, set the model to aion-labs/aion-2.0. To use Claude Opus 4.1, set the model to anthropic/claude-opus-4.1. Everything else in the request body stays as it is, so switching between the two is a one line change. If you rely on response_format, keep in mind that it is listed for Aion-2.0 and not for Claude Opus 4.1, so a request that depends on it should stay on the Aion side. If you rely on stop or top_k, those are listed for Claude Opus 4.1.
There are still cases where the more expensive model is the right call. If a task needs image or file input, or needs a context window beyond 131072 tokens, Claude Opus 4.1 is the only one of the two that supports it, so the price difference stops being the deciding factor. The same applies if your existing prompts already use stop or top_k and you would rather not rewrite them. For everything else, start with Aion-2.0 on text only work and move up only when a modality or context limit forces it.
Switch with one string
Both models use the same endpoint and request shape. Change the model value from "aion-labs/aion-2.0" to "anthropic/claude-opus-4.1" and prompts, streaming and tools keep working.
import OpenAI from "openai";
const client = new OpenAI({
baseURL: "https://api14.com/api/v1",
apiKey: process.env.API14_API_KEY,
});
const result = await client.chat.completions.create({
"model": "anthropic/claude-opus-4.1",
"messages": [
{
"role": "user",
"content": "Explain vector databases in two sentences."
}
]
});
console.log(result.choices[0].message.content);
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