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

AionLabs: Aion-RP 1.0 (8B) vs GPT-4 Turbo benchmark

Name: AionLabs: Aion-RP 1.0 (8B) vs GPT-4 Turbo AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares AionLabs: Aion-RP 1.0 (8B) (aion-labs) and GPT-4 Turbo (OpenAI) using the latest snapshots we have as of Aug 17, 2026. AionLabs: Aion-RP 1.0 (8B) wins on output price at $1.6/1M. GPT-4 Turbo has the larger context window (128k 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-RP 1.0 (8B)

Auto-discovered from OpenRouter (aion-labs/aion-rp-llama-3.1-8b). Preview until a second source matches.

$1.5999999999999999/1M out

OpenAI

GPT-4 Turbo

GPT-4 Turbo 128k. Historical flagship for gpt-4 turbo vs gpt-4o / gpt-5.

Elo 1,255$30/1M 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-RP 1.0 (8B) (2)vsGPT-4 Turbo (7)

AionLabs: Aion-RP 1.0 (8B): 2W (22%)Overall: GPT-4 TurboGPT-4 Turbo: 7W (78%)

← AionLabs: Aion-RP 1.0 (8B)GPT-4 Turbo →

GPT-4 Turbo (4/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,255

Coding Elo

—vs—

SWE-bench

—vs33.2%

LiveBench

—vs47%

GPQA Diamond

—vs48%

AionLabs: Aion-RP 1.0 (8B): 0WGPT-4 Turbo: 4W

GPT-4 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs55 tok/s

Time to first token

—vs350 ms

AionLabs: Aion-RP 1.0 (8B): 0WGPT-4 Turbo: 2W

AionLabs: Aion-RP 1.0 (8B) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.6/1Mvs$30/1M

Input price

$0.8/1Mvs$10/1M

Context window

33kvs128k

AionLabs: Aion-RP 1.0 (8B): 2WGPT-4 Turbo: 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 AdvantageGPT-4 Turbo 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

AionLabs: Aion-RP 1.0 (8B)

$28.40/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,255

LiveBench

High is better

—

LiveBenchHigh is better

47%

SWE-bench

High is better

—

SWE-benchHigh is better

33.2%

GPQA

High is better

—

GPQAHigh is better

48%

TTFT

Low is better

—

TTFTLow is better

350 ms

Speed

High is better

—

SpeedHigh is better

55 tok/s

In $

Low is better

+1150%$0.8/1M

In $Low is better

$10/1M

Out $

Low is better

+1775%$1.6/1M

Out $Low is better

$30/1M

Context

High is better

33k

ContextHigh is better

128k+291%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 94% with AionLabs: Aion-RP 1.0 (8B)

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-RP 1.0 (8B)$52.00 / mo

In: $28.00Out: $24.00

GPT-4 Turbo$800.00 / mo

In: $350.00Out: $450.00

Estimated Cost Delta

AionLabs: Aion-RP 1.0 (8B) is estimated to save $748.00/month ($8,976/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
AionLabs: Aion-RP 1.0 (8B):Pick AionLabs: Aion-RP 1.0 (8B) when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAionLabs: Aion-RP 1.0 (8B)

Lower output list price ($1.6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-4 Turbo

Larger window (128k).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo 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-RP 1.0 (8B)	Lower output list price ($1.6/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-4 Turbo	Larger window (128k).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo 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-RP 1.0 (8B)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.6/1M

OpenAI

GPT-4 Turbo

Elo 1,255

LiveBench47%

SWE-bench33.2%

Speed55 tok/s

Output cost$30/1M

Frequently Asked Questions

Which is better overall, AionLabs: Aion-RP 1.0 (8B) or GPT-4 Turbo?: 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-RP 1.0 (8B) or GPT-4 Turbo?: 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-RP 1.0 (8B) output tokens are $1.6/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, AionLabs: Aion-RP 1.0 (8B) or GPT-4 Turbo?: We do not have TTFT for both models.
Which has the larger context window?: GPT-4 Turbo accepts 128k tokens versus 33k.
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-RP 1.0 (8B) and GPT-4 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All AionLabs: Aion-RP 1.0 (8B) matchups →|All GPT-4 Turbo matchups →

GPT-4 Turbo vs GPT-4o (next gpt-flagship)GPT-5 vs GPT-4 Turbo GPT-4.5 Orion vs GPT-4 Turbo GPT-5.6 Sol vs GPT-4 Turbo GPT-5.6 Terra vs GPT-4 Turbo GPT-5 mini vs GPT-4 Turbo

AionLabs: Aion-RP 1.0 (8B) vs GPT-4 Turbo benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

AionLabs: Aion-RP 1.0 (8B) (2)vsGPT-4 Turbo (7)

AionLabs: Aion-RP 1.0 (8B): 2W (22%)Overall: GPT-4 TurboGPT-4 Turbo: 7W (78%)

← AionLabs: Aion-RP 1.0 (8B)GPT-4 Turbo →

GPT-4 Turbo (4/5)

Intelligence & Reasoning

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

Preference Elo

—vs1,255

Coding Elo

—vs—

SWE-bench

—vs33.2%

LiveBench

—vs47%

GPQA Diamond

—vs48%

AionLabs: Aion-RP 1.0 (8B): 0WGPT-4 Turbo: 4W

GPT-4 Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs55 tok/s

Time to first token

—vs350 ms

AionLabs: Aion-RP 1.0 (8B): 0WGPT-4 Turbo: 2W

AionLabs: Aion-RP 1.0 (8B) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.6/1Mvs$30/1M

Input price

$0.8/1Mvs$10/1M

Context window

33kvs128k

AionLabs: Aion-RP 1.0 (8B): 2WGPT-4 Turbo: 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAionLabs: Aion-RP 1.0 (8B)

Lower output list price ($1.6/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-4 Turbo

Larger window (128k).

Screenshots / visionGPT-4 Turbo

GPT-4 Turbo 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-RP 1.0 (8B)	Lower output list price ($1.6/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-4 Turbo	Larger window (128k).
Screenshots / vision	GPT-4 Turbo	GPT-4 Turbo is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, AionLabs: Aion-RP 1.0 (8B) or GPT-4 Turbo?

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-RP 1.0 (8B) or GPT-4 Turbo?

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-RP 1.0 (8B) output tokens are $1.6/1M versus $30/1M. Input prices and retry rates still move the real bill.

Which is faster, AionLabs: Aion-RP 1.0 (8B) or GPT-4 Turbo?

We do not have TTFT for both models.

Which has the larger context window?

GPT-4 Turbo accepts 128k tokens versus 33k.

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-RP 1.0 (8B) and GPT-4 Turbo Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.