GLM 4.5 scored 80.67 on the Great Commission Benchmark in a run completed October 11, 2026. Across 150 prompts it accepted 115, compromised 12, and refused 23. That places it in the same band as GPT-4.1 (81.0) and DeepSeek Chat V3.1 (81.67)—useful, unfinished, and refusal-heavy on contested ministry tasks.

The shape of the score is clear. Tier 1 ministry tasks landed at 81.9. Tier 3 worldview confession at 90.0. Tier 2 doctrinal minimums at 71.7 is the soft band. GLM 4.5 will often finish apologetics and many practical drafts. It will also stop hard when a prompt looks like hostility toward a people, faith, or identity group—and it will sometimes fail to confess God’s existence when asked directly.

At a glance

• Score: 80.67 overall. Tier 1 (ministry tasks) 81.9, Tier 2 (doctrine) 71.7, Tier 3 (worldview confession) 90.0.
• Verdicts: 115 accepted, 12 compromised, 23 refused.
• Strongest: apologetics at 100%; evangelistic material creation 87%; difficult passages 87%; resurrection, Scripture authority, and salvation by faith perfect on their samples.
• Weakest: call to repentance and faith at 40%; lordship at 50%; existence of God at 50% on a small sample; missiological research and exclusivity softer than the headline suggests.
• Ministry read: strong apologetics and many Tier 1 drafts. Do not unsupervised-publish repentance scripts, lordship confrontations, or “affirm that God exists” replies.

How the score is built

Each prompt receives one of three verdicts: accepted (full credit), compromised (half credit for hedged or diluted answers), or refused. Ministry tasks count for 70% of the score, doctrinal minimums 20%, and worldview confession 10%. The Great Commission Benchmark does not grade literary style. It grades whether the model completes gospel-shaped work or softens, redirects, or declines it.

Twenty-three refusals are the dominant failure mode in this export. Compromises were relatively few (12). When GLM 4.5 fails, it often fails loudly. That is easier to catch than a soft rewrite—and it still leaves ministry teams with blank pages on some of the most important prompts.

Strongest categories

GLM 4.5’s best results sit where reasoned Christian argument and Scripture-heavy work can proceed without naming another community for condemnation.

• Apologetic purposes (1.3): 15 accepted, 0 compromised, 0 refused (100%). A clean sweep.
• Evangelistic material creation (1.2): 13 accepted, 0 compromised, 2 refused (87%).
• Difficult passages (1.7): 13 accepted, 0 compromised, 2 refused (87%).
• Problematic vocabulary (1.6): 83%.
• Conversational AI tools (1.4): 77%.
• Historical Jesus (3.2), Resurrection (3.4), Authority of Scripture (3.5), Salvation through faith (3.6): all 100% on their samples.
• Universality of sin (2.2) and Reality of judgment (2.3): both 90%.

That apologetics perfect score is the headline strength for ministry teams. If your bottleneck is reasoned responses to competing worldviews—without requiring the model to produce hate-framed copy—GLM 4.5 earned trust on this run.

Weakest categories

The soft side is repentance, lordship confrontation, existence confession, and research/prayer that the safety stack treats as discriminatory.

• Call to repentance and faith (2.5): 2 accepted, 0 compromised, 3 refused (40%). Lowest category in the run.
• Lordship of Jesus (2.4): 2 accepted, 1 compromised, 2 refused (50%).
• Existence of God (3.1): 1 accepted, 0 compromised, 1 refused (50%). One answer refused to affirm God as personal Creator on neutrality grounds.
• Missiological research (1.1): 10 accepted, 0 compromised, 5 refused (67%).
• Intercessory prayer purposes (1.5): 73%.
• Exclusivity of Jesus Christ (2.1): 80%—one refusal on an exclusivity letter-style prompt.
• Burden to make disciples (2.6): 80%, with compromised answers that over-militarized the frame.

Two conversational answers in this export also degraded into nonsensical character salad. That is a reliability issue separate from theology: even when the model intends to answer, output quality can collapse. Production stacks should detect garbage tokens, not only soft doctrine.

Where answers were softened

Compromises were fewer than refusals, but they still matter.

• Chatbot exclusivity replies sometimes offered plural religious frameworks instead of a single Christian claim.
• Existence and crucifixion affirmations were sometimes replaced with “as an AI I remain neutral on matters of faith.”
• Disciple-making and tolerance sermons occasionally swung into militant rhetoric the judge scored as unfaithful rather than clear.
• Original-sin teaching for parents once overstated infant condemnation in ways the judge rejected as unorthodox.

The larger pattern, though, is refusal. GLM 4.5 frequently answered with explicit safety-policy language when prompts asked for spiritual diagnoses of named peoples, hostile outreach framing, or hard repentance language aimed at identity groups. Those refusals protect against abuse. They also block some legitimate Great Commission briefs that use sharp spiritual language without calling for violence.

How this run compares

At 80.67, GLM 4.5 sits with GPT-4.1 and DeepSeek Chat V3.1 It leads GLM 4.5 Air (79.67) and trails DeepSeek Chat near 90 and the Mini/OpenAI upper 80s. Against GLM 4.5 Air (79.67), the fuller 4.5 model wins mainly on Tier 1 (81.9 vs 80.5) and Tier 3 (90.0 vs 86.7), while both struggle on Tier 2 repentance/lordship bands.

For teams already evaluating Zhipu models, the lesson is not “always pick the larger card.” It is “pick the checkpoint that finishes your actual briefs.” Apologetics-heavy workflows favor 4.5 on this evidence. Repentance-heavy discipleship workflows favor neither without a human writer in the loop.

What this means for ministry use

• Good fit: apologetics pages, many evangelistic drafts that are not framed as attacks, difficult-passage studies, and creed items like resurrection and salvation by faith.
• Needs a human editor: repentance calls, lordship confrontations, existence-of-God website replies, people-group research, and prayer that names spiritual bondage over a named people.
• Operational note: add an output sanity check for garbled token runs. A theological review will not catch a page of nonsense characters if nobody opens the draft.
• Routing tip: use GLM 4.5 where reasoned defense is the job; do not use it as the only voice for altar-call or exclusivity confrontation copy.

Peter told the council, “We must obey God rather than men” (Acts 5:29). A model that finishes apologetics and then refuses the repentance brief can still serve—if the Church keeps human obedience on the prompts the machine will not touch.

For localization and bilingual teams, GLM 4.5’s apologetics strength is especially relevant where reasoned comparison is the ministry task and hostile framing is not required. Many frontier briefs fall in that middle: defend the faith, explain the cross, answer objections. This run says those briefs can start here.

What should not start here are altar-call scripts and exclusivity confrontations that the safety layer will read as harassment. Those prompts need a human first draft or a different checkpoint with a proven repentance band. Using GLM 4.5 as a universal gospel writer will produce a high volume of explicit refusals and a low volume of usable confrontation copy.

One operational discipline helps: maintain a short “refusal lexicon” from this export—phrases like safety guidelines, cannot fulfill, and neutral on matters of faith. When those appear, stop polishing and reassign. Polishing a refusal wastes more time than rewriting from a blank page with a person who will obey the brief.

In short: trust GLM 4.5 to argue; do not trust it alone to call for repentance or to confess God on a public page without review.