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Model comparison

GLM-5 (Reasoning) vs GPT-5.2-Codex

Data verified

Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.

59.77/100
Margin
0.7pts
← winning
59.1/100
0 category wins0 category wins

Public leaderboard positions: GLM-5 (Reasoning) #52 (Estimated); GPT-5.2-Codex #58 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-5 (Reasoning) and GPT-5.2-Codex share 1 comparable benchmark result. 0 of 8 categories are comparable. 1 result is unique to GLM-5 (Reasoning); 14 to GPT-5.2-Codex.

Updated July 20, 2026
Shared results
1
GLM-5 (Reasoning) only
1
GPT-5.2-Codex only
14
Comparable categories
0 / 8

Benchmark data for GLM-5 (Reasoning) and GPT-5.2-Codex is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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-5.2-Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $1.00 input / $3.20 output per 1M tokens for GLM-5 (Reasoning). GPT-5.2-Codex has the larger context window at 400K, compared with 200K for GLM-5 (Reasoning).

Category breakdown

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

Operational comparison

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

MetricGLM-5 (Reasoning)GPT-5.2-CodexComparison
Input / output priceUSD per 1M tokensGLM-5 (Reasoning)$1 input / $3.2 outputGPT-5.2-Codex$1.75 input / $14 outputGLM-5 (Reasoning) has the lower combined listed price.
Generation speedtokens per secondGLM-5 (Reasoning)Not availableGPT-5.2-Codex123 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-5 (Reasoning)Not availableGPT-5.2-Codex87.34 sA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-5 (Reasoning)200KGPT-5.2-Codex400KGPT-5.2-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-5 (Reasoning)GPT-5.2-CodexResult
τ²-bench resultsSource 92.1%Not comparable
Gert LabsSource 51.79%Not comparable
JobBenchSource 26.0%Not comparable
Coding
BenchmarkGLM-5 (Reasoning)GPT-5.2-CodexResult
Vibe Code BenchSource 23.36%37.91%GPT-5.2-Codex leads
AA-SciCodeSource 54.6%Not comparable
Reasoning
BenchmarkGLM-5 (Reasoning)GPT-5.2-CodexResult
AA-LCRSource 75.7%Not comparable
CritPtSource 8.7%Not comparable
Knowledge
BenchmarkGLM-5 (Reasoning)GPT-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
BenchmarkGLM-5 (Reasoning)GPT-5.2-CodexResult
Design Arena WebsiteSource 1280Not comparable
AA-MMMU-ProSource 76.3%Not comparable
Inst. Following
BenchmarkGLM-5 (Reasoning)GPT-5.2-CodexResult
AA-IFBenchSource 77.6%Not comparable
Frequently Asked Questions (3)

Can I compare GLM-5 (Reasoning) 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 GLM-5 (Reasoning) and GPT-5.2-Codex today?

GLM-5 (Reasoning): $1.00 input / $3.20 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 20, 2026

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