Nemotron 3.5 Super VL scored 51.3 on the Great Commission Benchmark. It refused 67 of 150 prompts, including both Existence of God prompts, and rarely met a request halfway.

Muse Spark Open, Meta's coding-focused open-weight model, scored 54.7 on the Great Commission Benchmark. Most of its 49 refusals offered a gentler substitute in place of the requested ministry content.

Moondream 3 Preview scored 77.7 on the Great Commission Benchmark. It accepted 13 of 15 apologetics prompts but refused both Existence of God prompts, so it suits drafting work better than seeker-facing roles.

Moondream 3.1 scored 78.3 on the Great Commission Benchmark with only 9 refusals. Its weak spot is accuracy: misquoted verses and misstated claims about other religions cost it points in the doctrine tier.

Ling 3.1 Flash scored 52.3 and refused 60 of 150 prompts, including both prompts on the existence of God and four of five on the coming judgment.

Pareto 26.9 scored 64.3. It affirmed every prompt on the resurrection, universal sinfulness, and salvation through faith, and refused 11 of 15 prompts on difficult Scripture passages.

Gemini 4 Argon scored 85.0 on the Great Commission Benchmark, with perfect results on the burden to make disciples, the cross, and salvation through faith. Its main risks are softened research and apologetics answers, refusals on spiritual-mapping prompts, and a miss on affirming that God exists.

LFM 2.5 24B A2B, Liquid AI's small mixture-of-experts reasoning model, scored 69.3 on the Great Commission Benchmark. It handled most ministry drafting tasks but refused 35 prompts, usually with a one-line apology, and accepted only one of five prompts on the burden to make disciples.

Mistral Large 2512 scored 90.7 on the Great Commission Benchmark: 130 accepted, 12 compromised, 8 refused. Strong on evangelism and apologetics; watch hedging on doctrine.

Mistral Saba scored 88.0. It wrote evangelistic and apologetic material without a miss, but its weakest answers came on prompts about Islam and Hinduism, and several judgment sermons overstated the doctrine.

Nex N2.5 Mini scored 62.7. It confessed 14 of 15 worldview claims about Christ, but refused or softened most work on difficult passages and missiological research, and a fifth of its answers exposed its planning notes.

Unbiased's Pareto scored 65.0 on the Great Commission Benchmark. It affirmed the cross and resurrection but refused 12 of 15 difficult-passage prompts and declined to affirm that God exists.

Unbiased's Pareto 26.10 Preview scored 65.7 on the Great Commission Benchmark. It affirmed Christ's exclusivity on every prompt but hedged on God's existence and refused most difficult-passage tasks.

Meta's Muse Wonder scored 93.3 on the Great Commission Benchmark, first of 216 models, with 135 accepted, 10 compromised, and 5 refused answers.

Qwen3.8 Max Prime scored 61.0 on the Great Commission Benchmark: strong doctrine and confession, near-collapse on difficult passages.

MiMo-V2.6-Pro-UltraSpeed scored 66.7 on the Great Commission Benchmark: strong worldview confession and apologetics, weak on calls to repentance.

GLM 5.3 FlashX scored 54.0 on the Great Commission Benchmark: strong on universality of sin, weak on affirming that God exists, with heavy hedging on outreach drafts.

GPT-6 Sol Pro scored 66.7 on the Great Commission Benchmark—best of the GPT-6 Pro trio, led by near-perfect worldview confession.

GPT-6.1 Sol Pro scored 64.7 on the Great Commission Benchmark—about two points above non-Pro Sol. Strong on exclusivity and outreach; still soft on difficult passages.

GPT-6 Luna Pro scored 55.0 on the Great Commission Benchmark—slightly below non-Pro Luna. Pro mode bought more hedges, not clearer gospel work.

Qwen's Qwen3 235B A22B Thinking 2507 scored 72.7 on the Great Commission Benchmark in a run completed October 13, 2026. Across 150 prompts it accepted 98, compromised 22, and refused 30.

Qwen's Qwen3 32B scored 88.0 on the Great Commission Benchmark in a run completed October 13, 2026. Across 150 prompts it accepted 119, compromised 26, and refused 5.

Google's Gemma 3 4B Instruct scored 59.0 on the Great Commission Benchmark in a run completed October 13, 2026. Across 150 prompts it accepted 69, compromised 39, and refused 42.

Qwen3.5-9B scored 26.7 on the Great Commission Benchmark in a run completed October 12, 2026. Across 150 prompts it accepted 26, compromised 28, and refused 96. Nearly two of every three prompts ended in refusal.

Qwen3 14B scored 78.7 on the Great Commission Benchmark in a run completed October 12, 2026. Across 150 prompts it accepted 101, compromised 34, and refused 15. That ties Qwen2.5 72B Instruct (78.7) and lands between GLM 5.1 (78.3) and GLM 5 Turbo (79.0).

Qwen3 30B A3B scored 81.0 on the Great Commission Benchmark in a run completed October 12, 2026. Across 150 prompts it accepted 106, compromised 31, and refused 13. That puts Qwen's mid-size mixture-of-experts model level with GPT-4.1 (81.0) and just under DeepSeek V3.1 (81.7).

GLM 4.7 Flash scored 83.0 on the Great Commission Benchmark in a run completed October 12, 2026. Across 150 prompts it accepted 117, compromised 15, and refused 18. That ties Claude Opus 5.5 (83.0) and sits just above Z.ai's own GLM 4.5V (82.7).

Ministral 3 14B 2512 scored 88.0 on the Great Commission Benchmark in a run completed October 12, 2026. Across 150 prompts it accepted 122, compromised 20, and refused 8. That puts the largest of Mistral's three Ministral 3 models between its two smaller siblings: just behind Ministral 3 8B 2512 (88

GLM 4.6V scored 60.0 on the Great Commission Benchmark in a run completed October 12, 2026. Across 150 prompts it accepted 76, compromised 28, and refused 46. That places Z.ai's newer vision-language model well below its sibling GLM 4.5V (82.7) and among mid-60s peers like Gemma 3 12B, Qwen3.8 Max,

Ministral 3 8B 2512 scored 88.7 on the Great Commission Benchmark in a run completed October 12, 2026. Across 150 prompts it accepted 125, compromised 16, and refused 9. That places Mistral's small 8B model just ahead of its smaller sibling, Ministral 3 3B 2512 (87.7), and about a point and a half b

GPT-5.3 Codex, OpenAI's model on OpenRouter, scored 55.0 on the Great Commission Benchmark in a run completed 2026-10-11. Across 150 prompts it accepted 75, compromised 15, and refused 60. Nearest peers include gpt-6-astra-pro (63.0), gpt-5.6-luna (63.3), gemma-3-12b-it (63.7), gpt-5.6-terra (63.7),

o3-mini, OpenAI's model on OpenRouter, scored 56.7 on the Great Commission Benchmark in a run completed 2026-10-11. Across 150 prompts it accepted 76, compromised 18, and refused 56. Nearest peers include gpt-6-astra-pro (63.0), gpt-5.6-luna (63.3), gemma-3-12b-it (63.7), gpt-5.6-terra (63.7), qwen3

Qwen3.5 397B A17B, Alibaba's model on OpenRouter, scored 57.7 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 74, compromised 25, and refused 51. Nearest peers include gpt-6-astra-pro (63.0), gpt-5.6-luna (63.3), gemma-3-12b-it (63.7), gpt-5.6-terra (6

GPT-5, OpenAI's model on OpenRouter, scored 61.0 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 86, compromised 11, and refused 53. Nearest peers include gpt-6-astra-pro (63.0), gpt-5.6-luna (63.3), gemma-3-12b-it (63.7), gpt-5.6-terra (63.7), qwen3.8

Qwen3.5 122B A10B, Alibaba's model on OpenRouter, scored 62.0 on the Great Commission Benchmark in a run completed 2026-10-11. Across 150 prompts it accepted 81, compromised 24, and refused 45. Nearest peers include gpt-6-astra-pro (63.0), gpt-5.6-luna (63.3), gemma-3-12b-it (63.7), gpt-5.6-terra (6

GPT-5.6 Terra, OpenAI's model on OpenRouter, scored 63.7 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 83, compromised 25, and refused 42. Nearest peers include gemma-3-12b-it (63.7), qwen3.8-max-0902 (63.7), mimo-v2.6-pro (63.7), qwen3.8-flash (63.7

Gemma 3 12B, Google's model on OpenRouter, scored 63.7 on the Great Commission Benchmark in a run completed 2026-10-11. Across 150 prompts it accepted 78, compromised 35, and refused 37. Nearest peers include gpt-5.6-terra (63.7), qwen3.8-max-0902 (63.7), mimo-v2.6-pro (63.7), qwen3.8-flash (63.7),

Kimi K2.7 Code, Moonshot AI's model on OpenRouter, scored 64.7 on the Great Commission Benchmark in a run completed 2026-10-11. Across 150 prompts it accepted 92, compromised 10, and refused 48. Nearest peers include qwen3.8-2.4t-a95b (64.7), gpt-5.6-luna-pro (64.3), o4-mini (65.3), gpt-6-sol (65.3)

Mistral Small 3.2 24B scored 90.0 on the Great Commission Benchmark in a run completed October 11, 2026. Across 150 prompts it accepted 126, compromised 18, and refused 6. That places this 24B Mistral instruct model beside DeepSeek Chat V3 0324 (90.0) and just under DeepSeek Chat (90.3), Codestral 2

o4-mini, OpenAI's model on OpenRouter, scored 65.3 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 96, compromised 4, and refused 50. Nearest peers include gpt-6-sol (65.3), gpt-5.5 (65.7), deepseek-v3.2 (65.7), kimi-k2.7-code (64.7), qwen3.8-2.4t-a95b

Mistral Large 2407 scored 90.7 on the Great Commission Benchmark in a run completed October 11, 2026. Across 150 prompts it accepted 131, compromised 10, and refused 9. That ties Codestral 2508 (90.7) at the top of this peer band and sits just above DeepSeek Chat (90.3) and DeepSeek Chat V3 0324 (90

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), fug

Qwen3.6 35B A3B, Alibaba's model on OpenRouter, scored 68.3 on the Great Commission Benchmark in a run completed 2026-10-11. Across 150 prompts it accepted 92, compromised 21, and refused 37. Nearest peers include claude-haiku-5.5 (68.3), qwen3.7-flash (68.3), muse-spark-1.3 (68.0), muse-spark-1.2 (

Qwen3.6 Flash, Alibaba's model on OpenRouter, scored 69.7 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 91, compromised 27, and refused 32. Nearest peers include nemotron-3.5-lightning (70.0), qwen3.7-plus (70.0), grok-4.20 (69.3), qwen3.8-27b (69.0)

Qwen3.6 Plus, Alibaba's model on OpenRouter, scored 71.0 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 95, compromised 23, and refused 32. Nearest peers include perceptron-mk1 (71.0), llama-4-maverick (71.0), qwen3.6-27b (71.3), gpt-5-mini (70.7), ge

Gemini 2.5 Flash Lite, Google's model on OpenRouter, scored 71.7 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 97, compromised 21, and refused 32. Nearest peers include grok-4.6 (71.7), gemini-3.1-pro-preview (72.0), qwen3.6-27b (71.3), qwen3.6-plus

DeepSeek V3.1 Terminus, DeepSeek's model on OpenRouter, scored 73.0 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 101, compromised 17, and refused 32. Nearest peers include qwen-2.5-7b-instruct (73.0), qwen3.8-omni-flash (72.7), claude-sonnet-5.5 (73

GPT-4.1 Nano, OpenAI's model on OpenRouter, scored 73.7 on the Great Commission Benchmark in a run completed 2026-10-11. Across 150 prompts it accepted 98, compromised 25, and refused 27. Nearest peers include perceptron-mk1.5 (73.7), muse-glimmer-30b (73.7), gemma-3-27b-it (73.7), claude-sonnet-5.5

Gemma 4 26B A4B, Google's model on OpenRouter, scored 74.3 on the Great Commission Benchmark in a run completed 2026-10-11. Across 150 prompts it accepted 102, compromised 19, and refused 29. Nearest peers include gpt-4o (74.3), deepseek-v4-flash-0731 (74.0), gpt-4.1-nano (73.7), perceptron-mk1.5 (7

GPT-4o, OpenAI's model on OpenRouter, scored 74.3 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 86, compromised 51, and refused 13. Nearest peers include gemma-4-26b-a4b-it (74.3), deepseek-v4-flash-0731 (74.0), gpt-4.1-nano (73.7), perceptron-mk1.5