# GPT-5.6 Luna vs GPT-6 Sol

As of Oct 15, 2026, GPT-5.6 Luna leads GPT-6 Sol in 1 of 10 shared categories: Factuality.

GPT-5.6 Luna: $0.44999999999999996 per 1M blended tokens.

GPT-6 Sol: $4.000000000000001 per 1M blended tokens.

GPT-5.6 Luna: closed weights.

GPT-6 Sol: closed weights.

- Which to pick, General LLM: As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in General LLM at #54 against #66.
- Which to pick, Reasoning: As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in Reasoning at #49 against #69.
- Which to pick, Science: As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in Science at #8 against #25.
- Which to pick, Coding: As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in Coding at #5 against #16.
- Which to pick, Coding › Agentic: As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in Coding › Agentic at #5 against #16.
- Which to pick, Coding › Web dev: As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in Coding › Web dev at #7 against #46.
- Which to pick, Long context: As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in Long context at #57 against #80.
- Which to pick, Vision: As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in Vision at #9 against #19.
- Which to pick, Factuality: As of Oct 15, 2026, GPT-5.6 Luna leads GPT-6 Sol in Factuality at #39 against #88.
- Which to pick, Abstraction (ARC): As of Oct 15, 2026, GPT-6 Sol leads GPT-5.6 Luna in Abstraction (ARC) at #6 against #19.

As of Oct 15, 2026, GPT-5.6 Luna is ranked #16 in Coding (since Oct 15, 2026; sources Terminal-Bench 4.0; methodology v1.0).

As of Oct 15, 2026, GPT-6 Sol is ranked #5 in Coding (since Oct 15, 2026; sources Terminal-Bench 4.0; methodology v1.0).