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Model comparison

Aion-2.0 vs GPT-5.2-Codex

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
Aion Labs
N/A
No comparison
58.09/100
0 category wins0 category wins

Public leaderboard positions: Aion-2.0 #130 (Estimated); GPT-5.2-Codex #66 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Aion-2.0 and GPT-5.2-Codex share 0 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Aion-2.0; 15 to GPT-5.2-Codex.

Updated July 28, 2026
Shared results
0
Aion-2.0 only
0
GPT-5.2-Codex only
15
Comparable categories
0 / 8

Benchmark data for Aion-2.0 and GPT-5.2-Codex is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for Aion-2.0 yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-5.2-Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.80 input / $1.60 output per 1M tokens for Aion-2.0. GPT-5.2-Codex has the larger context window at 400K, compared with 128K for Aion-2.0.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricAion-2.0GPT-5.2-CodexComparison
Input / output priceUSD per 1M tokensAion-2.0$0.8 input / $1.6 outputGPT-5.2-Codex$1.75 input / $14 outputAion-2.0 has the lower combined listed price.
Generation speedtokens per secondAion-2.0Not availableGPT-5.2-Codex123 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenAion-2.0Not availableGPT-5.2-Codex87.34 sA complete latency comparison is not available.
Context windowmaximum listed tokensAion-2.0128KGPT-5.2-Codex400KGPT-5.2-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkAion-2.0GPT-5.2-CodexResult
τ²-bench resultsSource 92.1%Not comparable
Gert LabsSource 51.79%Not comparable
JobBenchSource 26.0%Not comparable
Coding
BenchmarkAion-2.0GPT-5.2-CodexResult
Vibe Code BenchSource 37.91%Not comparable
AA-SciCodeSource 54.6%Not comparable
Reasoning
BenchmarkAion-2.0GPT-5.2-CodexResult
AA-LCRSource 75.7%Not comparable
CritPtSource 8.7%Not comparable
Knowledge
BenchmarkAion-2.0GPT-5.2-CodexResult
Artificial Analysis Intelligence IndexSource 40.1%Not comparable
AA-GPQA DiamondSource 89.9%Not comparable
AA-HLESource 33.5%Not comparable
AA-Omniscience IndexSource -2.5%Not comparable
AA-Omniscience AccuracySource 40.7%Not comparable
AA-Omniscience Hallucination RateSource 72.8%Not comparable
Multimodal
BenchmarkAion-2.0GPT-5.2-CodexResult
AA-MMMU-ProSource 76.3%Not comparable
Inst. Following
BenchmarkAion-2.0GPT-5.2-CodexResult
AA-IFBenchSource 77.6%Not comparable
Frequently Asked Questions (3)

Can I compare Aion-2.0 and GPT-5.2-Codex on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Aion-2.0 and GPT-5.2-Codex today?

Aion-2.0: $0.80 input / $1.60 output per 1M tokens GPT-5.2-Codex: $1.75 input / $14.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

Related Comparisons

Last updated: July 28, 2026

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