z-ai
// aion-labs
Aion-2.0
aion-labs/aion-2.0
Aion-2.0 costs $0.800 per 1M input tokens and $1.60 per 1M output tokens with a 131K-token context window.
A reasoning, tool-calling model from aion-labs, released Feb 23, 2026. LiveBench hasn't published a run for it, so this page carries measured price and specs only — no benchmark numbers.
- Input / 1M
- $0.800
- Output / 1M
- $1.60
- Context
- 131K
- LiveBench overall
- Not evaluated
Specs and pricing
| Input price USD per 1M prompt tokens | $0.800 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $1.60 |
| Blended price 3:1 input:output — #135 most expensive of 343 listed models | $1.00 |
| Cached input read Blank means not priced separately — not free | $0.200 |
| Cache write | — |
| Context window | 131,072 tokens |
| Max output | 32,768 tokens |
| Input modalities | text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | — |
| Listed | Feb 23, 2026 |
What Aion-2.0 costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $276.80/mo |
| RAG assistant 8K in / 600 out × 100K requests | $496.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $432.00/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $890.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $1,860/mo |
Compare Aion-2.0 with
Benchmarked models at a similar price.
deepseek
Aion-2.0 vs DeepSeek V4 Pro 0813
nvidia
Aion-2.0 vs Nemotron 3 Ultra
qwen
Aion-2.0 vs Qwen3.8 27B
deepseek
Aion-2.0 vs DeepSeek V4 Pro 0423
qwen
Aion-2.0 vs Qwen3.6 27B
Aion-2.0 FAQ
How much does Aion-2.0 cost?
Aion-2.0 lists at $0.800 per 1M input tokens and $1.60 per 1M output tokens, with cached input reads at $0.200 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $496.00 at list price.
What is the context window of Aion-2.0?
Aion-2.0 accepts up to 131,072 tokens of context and can return up to 32,768 output tokens per response.
Does Aion-2.0 support tool calling?
Yes — Aion-2.0 supports tool (function) calling and exposes extended reasoning. It accepts text input.
How does Aion-2.0 score on benchmarks?
LiveBench has not published a run for Aion-2.0 yet. Until it does, compare it on price and specs, or run your own evaluation on your own tasks.
What is the API model ID for Aion-2.0?
On OpenRouter the model ID is "aion-labs/aion-2.0". It was listed on Feb 23, 2026.
More from aion-labs
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.