Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

AionLabs: Aion-3.0-Mini vs Claude Sonnet 4 benchmark

Name: AionLabs: Aion-3.0-Mini vs Claude Sonnet 4 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares AionLabs: Aion-3.0-Mini (aion-labs) and Claude Sonnet 4 (Anthropic) using the latest snapshots we have as of Aug 17, 2026. AionLabs: Aion-3.0-Mini wins on output price at $1.4/1M. Claude Sonnet 4 has the larger context window (1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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aion-labs

AionLabs: Aion-3.0-Mini

Auto-discovered from OpenRouter (aion-labs/aion-3.0-mini). Preview until a second source matches.

$1.4/1M out

Anthropic

Claude Sonnet 4

First Sonnet 4 generation. Bridge between 3.5/3.7 and Sonnet 5.

Elo 1,455$15/1M out

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Instant pairwise benchmark recalculation across 400+ LLMs

Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

AionLabs: Aion-3.0-Mini (2)vsClaude Sonnet 4 (8)

AionLabs: Aion-3.0-Mini: 2W (20%)Overall: Claude Sonnet 4Claude Sonnet 4: 8W (80%)

← AionLabs: Aion-3.0-MiniClaude Sonnet 4 →

Claude Sonnet 4 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,455

Coding Elo

—vs1,468

SWE-bench

—vs62.8%

LiveBench

—vs63.2%

GPQA Diamond

—vs76.4%

AionLabs: Aion-3.0-Mini: 0WClaude Sonnet 4: 5W

Claude Sonnet 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs92 tok/s

Time to first token

—vs220 ms

AionLabs: Aion-3.0-Mini: 0WClaude Sonnet 4: 2W

AionLabs: Aion-3.0-Mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.4/1Mvs$15/1M

Input price

$0.7/1Mvs$3/1M

Context window

131kvs1M

AionLabs: Aion-3.0-Mini: 2WClaude Sonnet 4: 1W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageClaude Sonnet 4 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Token Price Efficiency

AionLabs: Aion-3.0-Mini

$13.60/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,455

Code Elo

High is better

—

Code EloHigh is better

1,468

LiveBench

High is better

—

LiveBenchHigh is better

63.2%

SWE-bench

High is better

—

SWE-benchHigh is better

62.8%

GPQA

High is better

—

GPQAHigh is better

76.4%

TTFT

Low is better

—

TTFTLow is better

220 ms

Speed

High is better

—

SpeedHigh is better

92 tok/s

In $

Low is better

+329%$0.70 / 1M

In $Low is better

$3.00 / 1M

Out $

Low is better

+971%$1.40 / 1M

Out $Low is better

$15.00 / 1M

Context

High is better

131k

ContextHigh is better

1M+663%

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 86% with AionLabs: Aion-3.0-Mini

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

AionLabs: Aion-3.0-Mini$45.50 / mo

In: $24.5Out: $21

Claude Sonnet 4$330.00 / mo

In: $105Out: $225

Estimated Cost Delta

AionLabs: Aion-3.0-Mini is estimated to save $284.50/month ($3,414/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
AionLabs: Aion-3.0-Mini:Pick AionLabs: Aion-3.0-Mini when you are optimizing output cost.
2
Claude Sonnet 4:Pick Claude Sonnet 4 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAionLabs: Aion-3.0-Mini

Lower output list price ($1.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

Claude Sonnet 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	AionLabs: Aion-3.0-Mini	Lower output list price ($1.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Claude Sonnet 4	Larger window (1M).
Screenshots / vision	Claude Sonnet 4	Claude Sonnet 4 is the side marked multimodal in the catalog.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE

aion-labs

AionLabs: Aion-3.0-Mini

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.4/1M

Anthropic

Claude Sonnet 4

Elo 1,455

LiveBench63.2%

SWE-bench62.8%

Speed92 tok/s

Output cost$15/1M

Frequently Asked Questions

Which is better overall, AionLabs: Aion-3.0-Mini or Claude Sonnet 4?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, AionLabs: Aion-3.0-Mini or Claude Sonnet 4?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: AionLabs: Aion-3.0-Mini output tokens are $1.4/1M versus $15/1M. Input prices and retry rates still move the real bill.
Which is faster, AionLabs: Aion-3.0-Mini or Claude Sonnet 4?: We do not have TTFT for both models.
Which has the larger context window?: Claude Sonnet 4 accepts 1M tokens versus 131k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. AionLabs: Aion-3.0-Mini and Claude Sonnet 4 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All AionLabs: Aion-3.0-Mini matchups →|All Claude Sonnet 4 matchups →

Claude Sonnet 4 vs Claude 3.7 Sonnet (previous sonnet)Claude Sonnet 4 vs Claude Sonnet 4.5 (next sonnet)Claude Opus 4.5 vs Claude Sonnet 4 Claude Opus 4.6 vs Claude Sonnet 4 Claude Opus 5 vs Claude Sonnet 4 Claude Fable 5 vs Claude Sonnet 4

AionLabs: Aion-3.0-Mini vs Claude Sonnet 4 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

AionLabs: Aion-3.0-Mini (2)vsClaude Sonnet 4 (8)

AionLabs: Aion-3.0-Mini: 2W (20%)Overall: Claude Sonnet 4Claude Sonnet 4: 8W (80%)

← AionLabs: Aion-3.0-MiniClaude Sonnet 4 →

Claude Sonnet 4 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,455

Coding Elo

—vs1,468

SWE-bench

—vs62.8%

LiveBench

—vs63.2%

GPQA Diamond

—vs76.4%

AionLabs: Aion-3.0-Mini: 0WClaude Sonnet 4: 5W

Claude Sonnet 4 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs92 tok/s

Time to first token

—vs220 ms

AionLabs: Aion-3.0-Mini: 0WClaude Sonnet 4: 2W

AionLabs: Aion-3.0-Mini (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.4/1Mvs$15/1M

Input price

$0.7/1Mvs$3/1M

Context window

131kvs1M

AionLabs: Aion-3.0-Mini: 2WClaude Sonnet 4: 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAionLabs: Aion-3.0-Mini

Lower output list price ($1.4/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude Sonnet 4

Larger window (1M).

Screenshots / visionClaude Sonnet 4

Claude Sonnet 4 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	AionLabs: Aion-3.0-Mini	Lower output list price ($1.4/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Claude Sonnet 4	Larger window (1M).
Screenshots / vision	Claude Sonnet 4	Claude Sonnet 4 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, AionLabs: Aion-3.0-Mini or Claude Sonnet 4?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, AionLabs: Aion-3.0-Mini or Claude Sonnet 4?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

AionLabs: Aion-3.0-Mini output tokens are $1.4/1M versus $15/1M. Input prices and retry rates still move the real bill.

Which is faster, AionLabs: Aion-3.0-Mini or Claude Sonnet 4?

We do not have TTFT for both models.

Which has the larger context window?

Claude Sonnet 4 accepts 1M tokens versus 131k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. AionLabs: Aion-3.0-Mini and Claude Sonnet 4 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.