DeepSeek R1 vs GPT-5.6 Sol
As of Oct 14, 2026, DeepSeek R1 leads GPT-5.6 Sol in 0 of 5 shared categories.
DeepSeek R1
It used to be. Was SOTA in General LLM.
GPT-5.6 Sol
Close. Near-SOTA in Vision, rank #3.
| Category | DeepSeek R1 | GPT-5.6 Sol |
|---|---|---|
| General LLM | #118 · Was SOTA · General LLM Margin 80.27210884353741 LMArena leaderboard dataset · Oct 13, 2026 | #17 · #17 in General LLM Margin 11.564625850340136 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #116 · Was SOTA · Reasoning Margin 80.13698630136986 LMArena leaderboard dataset · Oct 13, 2026 | #12 · #12 in Reasoning Margin 8.904109589041099 LMArena leaderboard dataset · Oct 13, 2026 |
| Math | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Science | #90 · #90 in Science Margin — Epoch AI benchmarking hub · Jan 20, 2025 | #13 · #13 in Science Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #9 · #9 in Coding Margin 45.45454545454545 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Agentic | — | #9 · #9 in Coding › Agentic Margin 45.45454545454545 Terminal-Bench Harbor Hub · Oct 6, 2026 |
| Coding › Web dev | — | #21 · Was SOTA · Coding › Web dev Margin 18.691588785046733 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #123 · Was SOTA · Long context Margin 83.6734693877551 LMArena leaderboard dataset · Oct 13, 2026 | #13 · #13 in Long context Margin 8.84353741496598 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | — | #3 · Near-SOTA · Vision Margin 10.526315789473685 Epoch AI benchmarking hub · Jul 9, 2026 |
| Factuality | — | #14 · #14 in Factuality Margin 11.194029850746276 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #77 · #77 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jan 20, 2025 | #3 · #3 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Jul 9, 2026 |
DeepSeek R1: $1.15 per 1M blended tokens.
GPT-5.6 Sol: $8.000000000000002 per 1M blended tokens.
DeepSeek R1: open weights.
GPT-5.6 Sol: closed weights.
General LLM: As of Oct 14, 2026, GPT-5.6 Sol leads DeepSeek R1 in General LLM at #17 against #118.
Reasoning: As of Oct 14, 2026, GPT-5.6 Sol leads DeepSeek R1 in Reasoning at #12 against #116.
Science: As of Oct 14, 2026, GPT-5.6 Sol leads DeepSeek R1 in Science at #13 against #90.
Long context: As of Oct 14, 2026, GPT-5.6 Sol leads DeepSeek R1 in Long context at #13 against #123.
Abstraction (ARC): As of Oct 14, 2026, GPT-5.6 Sol leads DeepSeek R1 in Abstraction (ARC) at #3 against #77.
DeepSeek R1 or GPT-5.6 Sol?
As of Oct 14, 2026, DeepSeek R1 leads GPT-5.6 Sol in 0 of 5 shared categories.
DeepSeek R1 or GPT-5.6 Sol for General LLM?
As of Oct 14, 2026, GPT-5.6 Sol leads DeepSeek R1 in General LLM at #17 against #118.
DeepSeek R1 or GPT-5.6 Sol for Reasoning?
As of Oct 14, 2026, GPT-5.6 Sol leads DeepSeek R1 in Reasoning at #12 against #116.
DeepSeek R1 or GPT-5.6 Sol for Science?
As of Oct 14, 2026, GPT-5.6 Sol leads DeepSeek R1 in Science at #13 against #90.