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Aion-2.0 vs Claude Fable 5.1

Published LiveBench scores across all seven categories, live list pricing, context windows, and the measured cost of a point of capability — for both models, side by side.

OpenRouter + LiveBenchAll comparisonsFull leaderboard

Aion-2.0 is the cheaper of the two; neither can be ranked on quality here.

Aion-2.0 does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

aion-labs

Aion-2.0

Blended / 1M
$1.00
Context
131K
Released
Feb 23, 2026
Overall score
Not evaluated
reasoningtool callingprompt caching

anthropic

Claude Fable 5.1

Blended / 1M
$20.00
Context
1M
Released
Sep 1, 2026
Overall score
83.4
reasoningtool callingimage inputfile inputprompt caching

Specs and pricing

MetricAion-2.0Claude Fable 5.1
LiveBench overall

Mean of the seven LiveBench category scores, 0–100. Higher is better.

83.4
Cost per point

Measured benchmark spend divided by overall score — dollars per point of capability.

$0.6668
Blended price / 1M

3:1 input:output mix, the usual shape of production traffic.

$1.00win$20.00
Input price / 1M$0.800win$10.00
Output price / 1M$1.60win$50.00
Cached input / 1M

Price of an input token served from the prompt cache, where the provider publishes one.

$0.200win$0.250
Context window131K1Mwin
Max output tokens33K128Kwin

Benchmarks by category

An overall score averages away the thing you probably care about. These are the seven LiveBench categories scored separately — Aion-2.0 on top, Claude Fable 5.1 below, both out of 100.

Agentic coding
66.1
Coding
86.4
Reasoning
91.7
Mathematics
97.0
Data analysis
80.3
Language
89.5
Instruction following
73.0

What each one costs to run

Per-token prices are hard to feel. These are monthly list costs for both models across five workload shapes, using each provider's published cached-input rate where there is one.

WorkloadAion-2.0Claude Fable 5.1
Support chatbot

1.2K in / 400 out × 200K requests

$276.80/mo$5,698/mo
RAG assistant

8K in / 600 out × 100K requests

$496.00/mo$7,100/mo
Coding agent

40K in / 4K out × 20K requests

$432.00/mo$6,540/mo
Document extraction

20K in / 1.5K out × 50K requests

$890.00/mo$13,263/mo
Bulk classification

500 in / 20 out × 5M requests

$1,860/mo$25,125/mo
Run these two through the cost calculator

Which should you pick?

You need to fit large documents in one call

Claude Fable 5.1

Wider context window — 1M against 131K.

You are cost-constrained

Aion-2.0

Cheaper on blended list price at $1.00 per million tokens.

Aion-2.0 vs Claude Fable 5.1 FAQ

Which is better, Aion-2.0 or Claude Fable 5.1?

Aion-2.0 is the cheaper of the two; neither can be ranked on quality here. Aion-2.0 does not have a published LiveBench run, so this comparison covers price, context and declared capabilities only. A missing score means "not evaluated", not "worse" — the right way to separate these two is an eval on your own workload.

Is Aion-2.0 cheaper than Claude Fable 5.1?

Aion-2.0 is cheaper. On a 3:1 input:output blend, Aion-2.0 lists at $1.00 per million tokens and Claude Fable 5.1 at $20.00 — Aion-2.0 is 20× cheaper. Input and output are priced separately — Aion-2.0 charges $0.800 in and $1.60 out, Claude Fable 5.1 charges $10.00 and $50.00 — so the model that looks cheaper flips depending on how output-heavy your workload is.

Does Aion-2.0 or Claude Fable 5.1 have a bigger context window?

Claude Fable 5.1 has the larger context window: 131K for Aion-2.0 against 1M for Claude Fable 5.1. Note that a window you can fill is not a window you should fill — retrieval quality usually degrades well before the limit, and you pay for every token you put in it.

Do Aion-2.0 and Claude Fable 5.1 support prompt caching?

Both publish a cached-input rate: $0.200 per million for Aion-2.0 and $0.250 for Claude Fable 5.1, against full input rates of $0.800 and $10.00. On a workload with a long stable prefix — a system prompt, a tool schema, a retrieved corpus — that changes the economics more than the headline price does.

Related comparisons

How these numbers are produced

  • Price — provider list price from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
  • ScoresLiveBench release 2026-06-25, using their own category map. Each model shows its strongest 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.
  • “Win” — awarded only past a threshold: one full point on a benchmark score, 10% on a price, 25% on a context window. Anything tighter reports as a tie, because effort settings alone move a LiveBench score by more than that.

Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.