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Model comparison

GLM-4.5-Air vs GPT-5.3 Codex

Data verified

Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

47.7/100
Margin
19.0pts
winning →
66.69/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.5-Air #133 (Supported); GPT-5.3 Codex #26 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.5-Air and GPT-5.3 Codex share 12 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GLM-4.5-Air; 9 to GPT-5.3 Codex.

Updated July 20, 2026
Shared results
12
GLM-4.5-Air only
0
GPT-5.3 Codex only
9
Comparable categories
0 / 8

Benchmark data for GLM-4.5-Air and GPT-5.3 Codex is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

GPT-5.3 Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.20 input / $1.10 output per 1M tokens for GLM-4.5-Air. GPT-5.3 Codex has the larger context window at 400K, compared with 128K for GLM-4.5-Air.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for GLM-4.5-Air and GPT-5.3 Codex
CategoryGLM-4.5-AirΔGPT-5.3 Codex
AgenticGLM-4.5-AirNot measuredMarginNo overlapGPT-5.3 Codex71.4
CodingGLM-4.5-AirNot measuredMarginNo overlapGPT-5.3 Codex67.2

Operational comparison

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

MetricGLM-4.5-AirGPT-5.3 CodexComparison
Input / output priceUSD per 1M tokensGLM-4.5-Air$0.2 input / $1.1 outputGPT-5.3 Codex$1.75 input / $14 outputGLM-4.5-Air has the lower combined listed price.
Generation speedtokens per secondGLM-4.5-Air106 tok/sGPT-5.3 Codex79 tok/sGLM-4.5-Air has the higher measured throughput.
First-answer latencyseconds to first tokenGLM-4.5-Air1.18 sGPT-5.3 Codex88.26 sGLM-4.5-Air reaches the first token sooner.
Context windowmaximum listed tokensGLM-4.5-Air128KGPT-5.3 Codex400KGPT-5.3 Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.5-AirGPT-5.3 CodexResult
τ²-bench resultsSource 46.5%86%GPT-5.3 Codex leads
Terminal-Bench 2.0Source 77.3%Not comparable
OSWorld-VerifiedSource 64.7%Not comparable
Gert LabsSource 57.47%Not comparable
JobBenchSource 33.7%Not comparable
Coding
BenchmarkGLM-4.5-AirGPT-5.3 CodexResult
AA-SciCodeSource 30.6%53.2%GPT-5.3 Codex leads
SWE-bench VerifiedSource 85%Not comparable
SWE-bench ProSource 56.8%Not comparable
SWE-RebenchSource 58.2%Not comparable
Vibe Code BenchSource 61.77%Not comparable
Reasoning
BenchmarkGLM-4.5-AirGPT-5.3 CodexResult
AA-LCRSource 43.7%74.0%GPT-5.3 Codex leads
CritPtSource 0.0%16.9%GPT-5.3 Codex leads
Knowledge
BenchmarkGLM-4.5-AirGPT-5.3 CodexResult
Artificial Analysis Intelligence IndexSource 16.5%44.3%GPT-5.3 Codex leads
AA-GPQA DiamondSource 73.3%91.5%GPT-5.3 Codex leads
AA-HLESource 6.8%39.9%GPT-5.3 Codex leads
AA-Omniscience IndexSource -62.5%9.9%GPT-5.3 Codex leads
AA-Omniscience AccuracySource 15.5%51.8%GPT-5.3 Codex leads
AA-Omniscience Hallucination RateSource 92.3%86.9%GPT-5.3 Codex leads
Multimodal
BenchmarkGLM-4.5-AirGPT-5.3 CodexResult
Design Arena WebsiteSource 11791195GPT-5.3 Codex leads
AA-MMMU-ProSource 78.5%Not comparable
Inst. Following
BenchmarkGLM-4.5-AirGPT-5.3 CodexResult
AA-IFBenchSource 37.6%75.4%GPT-5.3 Codex leads
Frequently Asked Questions (3)

Can I compare GLM-4.5-Air and GPT-5.3 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 GLM-4.5-Air and GPT-5.3 Codex today?

GLM-4.5-Air: $0.20 input / $1.10 output per 1M tokens GPT-5.3 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.

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Last updated: July 20, 2026

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