# GPT-5.6 Luna vs GPT-6.1 Sol

As of Oct 14, 2026, GPT-5.6 Luna leads GPT-6.1 Sol in 0 of 10 shared categories.

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

GPT-6.1 Sol: $4.000000000000001 per 1M blended tokens.

GPT-5.6 Luna: closed weights.

GPT-6.1 Sol: closed weights.

- Which to pick, General LLM: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in General LLM at #18 against #53.
- Which to pick, Reasoning: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Reasoning at #15 against #55.
- Which to pick, Science: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Science at #4 against #25.
- Which to pick, Coding: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Coding at #2 against #16.
- Which to pick, Coding › Agentic: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Coding › Agentic at #2 against #16.
- Which to pick, Coding › Web dev: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Coding › Web dev at #4 against #43.
- Which to pick, Long context: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Long context at #17 against #65.
- Which to pick, Vision: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Vision at #1 against #19.
- Which to pick, Factuality: As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Factuality at #29 against #35.
- Which to pick, Abstraction (ARC): As of Oct 14, 2026, GPT-6.1 Sol leads GPT-5.6 Luna in Abstraction (ARC) at #1 against #19.

As of Oct 14, 2026, GPT-5.6 Luna is ranked #16 in Coding (since Oct 14, 2026; sources Terminal-Bench 4.0; methodology v1.0).

As of Oct 14, 2026, GPT-6.1 Sol is tied for state of the art in Vision (since Sep 30, 2026; sources GDP.pdf; methodology v1.0).