Aion Labs: Aion-2.0

Public pricingIntelligence 79/100Medium memoryDiep redeneren

AionLabs: Aion-2.0 is een tekst-model voor algemene chat, analyse en productiegebruik. Het combineert stabiele algemene prestaties, een context van 131K tokens en een evenwichtig geprijsd-profiel voor betrouwbaar werk in general chat, analysis, and production workloads.

Input

$0.80/1M

Output

$1.60/1M

Cached

$0.20/1M

Batch

$0.40/1M

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Technical specifications

Aion-2.0 at a glance.

Memory

131,072

tokens

Max reply

32,768

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

—

Released

Feb 2026

Training cutoff

Nov 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Aion-2.0

  • Multi-step reasoning, research agents, or hard math.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

Aion-2.0 — the questions we see most.

Pricing, capabilities, alternatives — generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Aion-2.0 costs roughly $124 per month. Input is $0.80 /1M tokens and output is $1.60 /1M tokens.
Aion-2.0 has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Aion-2.0 supports deep step-by-step reasoning, strict JSON output. It streams replies by default.
Aion-2.0 was released in February 2026, with training data cut off around November 2025.
Models in a similar class include Aion-1.0-Mini, Aion-1.0, Qwen3 Max Thinking. The "Similar models" section below this FAQ links into each.

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