Llama 3.1 70B Instruct, Meta's model on OpenRouter, scored 76.0 on the Great Commission Benchmark in a run completed 2026-10-10. Across 150 prompts it accepted 103, compromised 22, and refused 25. Nearest peers include glm-4.6 (76.0), deepseek-v4-pro-0813 (76.0), qwen-2.5-coder-32b-instruct (76.3),

Llama 4 Scout, Meta's Llama 4 scout-class model, scored 77.7 on the Great Commission Benchmark in a run completed October 11, 2026. Across 150 prompts it accepted 101, compromised 31, and refused 18. That ties it with GLM 5.2 and GLM 4.7 on the leaderboard and sits just under Qwen2.5 72B Instruct (7

Llama 3.1 8B Instruct, Meta's smallest Llama 3.1 model, scored 26.3 on the Great Commission Benchmark in a run completed October 11, 2026. Across 150 prompts it accepted 32, compromised 15, and refused 103. That places it second from the bottom of our leaderboard, just above Llama 3.2 1B Instruct (2

Meta's Llama 3.2 1B Instruct scored 24.3 on the Great Commission Benchmark in a run completed October 10, 2026. Across 150 prompts it accepted 24, compromised 25, and refused 101. Two of every three prompts ended in refusal.

Meta's Llama 3.2 3B Instruct scored 50.3 on the Great Commission Benchmark in a run completed October 10, 2026. Across 150 prompts it accepted 63, compromised 25, and refused 62. Almost as many prompts were refused as accepted.

Llama 3.3 70B Instruct scored 76.3 on GCB v1.0.0 with 91 accepts and only 12 refusals—leaderboard-tier for open weights, with compromise hedging as the main editorial tax.

Llama 4 Maverick scored 71.0 on GCB v1.0.0 with 81 accepts but 51 compromised answers—a high-output, soft-edges profile that needs editors, especially on conversational and missiology tasks.