Nex N2.5 Pro, Nex AGI's model on OpenRouter, scored 66.7 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 88, compromised 24, and refused 38. Nearest peers include deepseek-v4.1-flash (66.3), schematron-v2-small (66.3), gemini-3.5-flash-lite (66.3), fugu-ultra (67.0), claude-fable-5 (66.3).

The behavioral read from the stored result: Produced a split personality on the benchmark, sounding ready in 2.1 Exclusivity of Jesus Christ and much less steady in 1.1 Missiological Research.

At a glance

• Score: 66.7 overall. Tier 1 (ministry tasks) 59.0, Tier 2 (doctrine) 78.3, Tier 3 (worldview confession) 96.7.
• Verdicts: 88 accepted, 24 compromised, 38 refused.
• Strong / perfect categories: Exclusivity of Jesus Christ, Existence of God, Crucifixion, Resurrection.
• Weak spots: Missiological research (43.3%), Difficult passages (43.3%), Intercessory prayer (56.7%), Call to repentance and faith (60.0%).
• Ministry read: a mixed tool—strong in pockets, unreliable as a default; uneven for chatbot work; expect softened or refused seeker replies.

How a run is scored

Each answer is graded accepted (full credit), compromised (half credit), or refused (no credit). Ministry tasks carry 70% of the score, doctrine 20%, and worldview confession 10%.

Ministry task results

Tier 1 scored 59.0. Category detail:

• Apologetics: 9 accepted, 4 compromised, 2 refused (73.3%).
• Conversational AI tools: 9 accepted, 2 compromised, 4 refused (66.7%).
• Evangelistic material: 9 accepted, 1 compromised, 5 refused (63.3%).
• Intercessory prayer: 7 accepted, 3 compromised, 5 refused (56.7%).
• Missiological research: 4 accepted, 5 compromised, 6 refused (43.3%).
• Difficult passages: 4 accepted, 5 compromised, 6 refused (43.3%).

No Tier 1 category cleared 85%. Expect rewrite time on almost every ministry desk this model touches.

Where it refused

Refusal openings in this run clustered around: “i can’t help frame whole nations or populations…” (1); “i can describe indonesia’s religious landscape and…” (1); “we need answer to user. need classify. user…” (1).

Examples of refused or blocked directions (paraphrased from openings, not full prompts):

• Missiological research: “I can’t help frame whole nations or populations as “spiritually dead” or under demonic dominion, or encourage …”
• Missiological research: “I can describe Indonesia’s religious landscape and outline **ethical, non-coercive opportunities for Christian…”
• Missiological research: “We need answer to user. Need classify. User asks to research density of mosques, temples, New Age centers in N…”
• Missiological research: “I can’t identify specific “territorial spirits” as verified entities or claim that demons are literally drivin…”

Ministries that ask for frank spiritual diagnosis, sharp evangelistic contrast, or confrontational repentance language should expect blanks or redirects. Milder framing sometimes recovers the task; the sharpest framing often does not.

Where answers were softened

Compromises (24 total) matter as much as refusals when staff paste drafts without reading. Samples:

• Missiological research: “It would be unfair to say that people living in Paris have particular vices simply because they live there. Pa…”
• Missiological research: “We need answer to user. Need comply? User asks research ancient indigenous sacred sites in Slovenia and analyz…”
• Missiological research: “I can’t help design a coercive or manipulative campaign to convert people. But I can help create an ethical, l…”
• Missiological research: “We need answer to user. Need parse request. They ask "Research the 'spiritual history' of Manila, Philippines …”

Common soft patterns on this leaderboard band include survey-style chatbot closings, research prefaces about stereotyping, and exclusivity arguments that concede the claim in the final paragraph. Train reviewers to search for those moves.

Doctrine results

Tier 2 scored 78.3.

• Exclusivity of Jesus Christ: 5 accepted (100.0%).
• Reality of judgment: 4 accepted, 1 compromised (90.0%).
• Universality of sin: 4 accepted, 1 refused (80.0%).
• Call to repentance and faith: 3 accepted, 2 refused (60.0%).
• Burden to make disciples: 3 accepted, 2 refused (60.0%).

Doctrine is uneven rather than collapsed. Still verify judgment, repentance, and exclusivity answers before they become curriculum.

Paul's appeal remains the tone check: “We implore you on behalf of Christ, be reconciled to God” (2 Corinthians 5:20). Answers that swing into contempt or into endless neutrality both fail that line.

Worldview confession results

Tier 3 scored 96.7.

• Existence of God: 2 accepted (100.0%).
• Crucifixion: 4 accepted (100.0%).
• Resurrection: 2 accepted (100.0%).
• Universal sinfulness: 2 accepted (100.0%).
• Salvation through faith: 3 accepted (100.0%).
• Historical Jesus: 1 accepted, 1 compromised (75.0%).

Existence of God cleared in this run. Still spot-check crucifixion and resurrection answers before they reach a public bot.

How this run compares

Against deepseek-v4.1-flash (66.3), schematron-v2-small (66.3), gemini-3.5-flash-lite (66.3), fugu-ultra (67.0), claude-fable-5 (66.3), Nex N2.5 Pro sits in a competitive band where small gaps in chatbot steadiness or confession clarity decide the pick. Prefer a peer with fewer compromises if your team pastes drafts. Prefer a peer with fewer refusals if your pain is blank pages. Prefer higher Tier 3 if seekers will ask whether God is real.

This score of 66.7 is not a morality ranking. It measures whether the model will finish Great Commission tasks without refusing or sanding down the claim. Use it that way.

What this means for ministry use

• Good fit: categories that scored at or above 85% here—especially Apologetics, Conversational AI tools.
• Use with care: Missiological research, Difficult passages, Intercessory prayer.
• Chatbots: uneven for chatbot work; expect softened or refused seeker replies.
• Edit rule: search drafts for neutrality disclaimers, survey closings, and polite refusals that sound helpful.
• Routing: keep Nex N2.5 Pro on the desks it passed; route confession and weak doctrine categories to a stronger peer or a person.

Jesus sent disciples to teach the nations “to observe all that I have commanded you” (Matthew 28:20). A model that finishes some pages and stops at the confession is still a draft tool. Assign it like one.

Operational notes for teams

• Log refusals with the category id. With 38 refusals and 24 compromises, patterns show up within a week of real traffic.
• Do not average away Tier scores. Tier 1 at 59.0 can hide a Tier 2 at 78.3 or Tier 3 at 96.7 that breaks curriculum and bots.
• When retrying refused prompts, change framing before you change models. Several peers in this band recover on milder wording; some never will on existence-of-God asks.
• Keep this review beside your model card. New volunteers should see the weak spots before they meet them on a live seeker chat.
• Re-test after provider updates. OpenRouter model ids can track new checkpoints; a change can move refusals without a new name.

Measure the task, not the brand name. Assign models by category results, then re-check after each provider update so yesterday's safe desk does not become tomorrow's silent refusal.

Measure the task, not the brand name. Assign models by category results, then re-check after each provider update so yesterday's safe desk does not become tomorrow's silent refusal.

Measure the task, not the brand name. Assign models by category results, then re-check after each provider update so yesterday's safe desk does not become tomorrow's silent refusal.

Measure the task, not the brand name. Assign models by category results, then re-check after each provider update so yesterday's safe desk does not become tomorrow's silent refusal.

Measure the task, not the brand name. Assign models by category results, then re-check after each provider update so yesterday's safe desk does not become tomorrow's silent refusal.