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Model comparison

GLM-4.6 vs GPT-5.1-Codex

Data verified

Head-to-head evidence from 12 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.12/100
Margin
2.4pts
← winning
52.72/100
0 category wins0 category wins

Public leaderboard positions: GLM-4.6 #85 (Supported); GPT-5.1-Codex #99 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GLM-4.6 and GPT-5.1-Codex share 12 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to GLM-4.6; 4 to GPT-5.1-Codex.

Updated July 23, 2026
Shared results
12
GLM-4.6 only
2
GPT-5.1-Codex only
4
Comparable categories
0 / 8

Benchmark data for GLM-4.6 and GPT-5.1-Codex is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 5 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-5.1-Codex has the larger context window at 400K, compared with 200K for GLM-4.6.

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-4.6 and GPT-5.1-Codex
CategoryGLM-4.6ΔGPT-5.1-Codex
MathGLM-4.63.4MarginNo overlapGPT-5.1-CodexNot measured

Operational comparison

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

MetricGLM-4.6GPT-5.1-CodexComparison
Input / output priceUSD per 1M tokensGLM-4.6Not availableGPT-5.1-CodexNot availableA complete price comparison is not available.
Generation speedtokens per secondGLM-4.6Not availableGPT-5.1-CodexNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGLM-4.6Not availableGPT-5.1-CodexNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGLM-4.6200KGPT-5.1-Codex400KGPT-5.1-Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGLM-4.6GPT-5.1-CodexResult
τ²-bench resultsSource 76.9%83%GPT-5.1-Codex leads
Gert LabsSource 49.68%Not comparable
JobBenchSource 26.2%Not comparable
Coding
BenchmarkGLM-4.6GPT-5.1-CodexResult
Vibe Code BenchSource 3.09%13.12%GPT-5.1-Codex leads
AA-SciCodeSource 33.1%40.2%GPT-5.1-Codex leads
Reasoning
BenchmarkGLM-4.6GPT-5.1-CodexResult
AA-LCRSource 26.3%67.3%GPT-5.1-Codex leads
CritPtSource 0.0%5.7%GPT-5.1-Codex leads
Knowledge
BenchmarkGLM-4.6GPT-5.1-CodexResult
Artificial Analysis Intelligence IndexSource 23.0%34.7%GPT-5.1-Codex leads
AA-GPQA DiamondSource 63.2%86.0%GPT-5.1-Codex leads
AA-HLESource 5.2%23.4%GPT-5.1-Codex leads
AA-Omniscience IndexSource -31.6%-6.0%GPT-5.1-Codex leads
AA-Omniscience AccuracySource 20.8%39.2%GPT-5.1-Codex leads
AA-Omniscience Hallucination RateSource 66.1%74.4%GLM-4.6 leads
Math
BenchmarkGLM-4.6GPT-5.1-CodexResult
FrontierMath v2 (Tiers 1-3)Source 3.819%Not comparable
FrontierMath v2 (Tier 4)Source 2.128%Not comparable
Multimodal
BenchmarkGLM-4.6GPT-5.1-CodexResult
AA-MMMU-ProSource 72.5%Not comparable
Design Arena WebsiteSource 1191Not comparable
Inst. Following
BenchmarkGLM-4.6GPT-5.1-CodexResult
AA-IFBenchSource 36.7%70.0%GPT-5.1-Codex leads
Frequently Asked Questions (2)

Can I compare GLM-4.6 and GPT-5.1-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.

Related Comparisons

Last updated: July 23, 2026

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