GPT-5.5 vs Qwen3 5 397B A17b
As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.
GPT-5.5
It used to be. Was SOTA in General LLM.
Qwen3 5 397B A17b
#53 Best recorded rank: #53 in Science, as of Oct 14, 2026.
| Category | GPT-5.5 | Qwen3 5 397B A17b |
|---|---|---|
| General LLM | #21 · Was SOTA · General LLM Margin 14.285714285714292 LMArena leaderboard dataset · Oct 13, 2026 | #66 · #66 in General LLM Margin 44.89795918367347 LMArena leaderboard dataset · Oct 13, 2026 |
| Reasoning | #25 · #25 in Reasoning Margin 17.808219178082197 LMArena leaderboard dataset · Oct 13, 2026 | #64 · #64 in Reasoning Margin 44.52054794520548 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 | #30 · #30 in Science Margin — Epoch AI benchmarking hub · Apr 23, 2026 | #53 · #53 in Science Margin — Epoch AI benchmarking hub · Feb 13, 2026 |
| Coding | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 13, 2026 |
| Coding › Web dev | #44 · #44 in Coding › Web dev Margin 40.18691588785047 LMArena leaderboard dataset · Oct 13, 2026 | #72 · #72 in Coding › Web dev Margin 66.35514018691589 LMArena leaderboard dataset · Oct 13, 2026 |
| Long context | #23 · Was SOTA · Long context Margin 15.646258503401356 LMArena leaderboard dataset · Oct 13, 2026 | #60 · #60 in Long context Margin 40.81632653061225 LMArena leaderboard dataset · Oct 13, 2026 |
| Vision | #10 · Was SOTA · Vision Margin 28.94736842105263 Epoch AI benchmarking hub · Apr 23, 2026 | #— · Not enough data Margin — LMArena leaderboard dataset · Oct 9, 2026 |
| Factuality | #5 · Was SOTA · Factuality Margin 4.477611940298502 LMArena leaderboard dataset · Oct 13, 2026 | #59 · #59 in Factuality Margin 44.776119402985074 LMArena leaderboard dataset · Oct 13, 2026 |
| Abstraction (ARC) | #7 · #7 in Abstraction (ARC) Margin — Epoch AI benchmarking hub · Apr 23, 2026 | — |
GPT-5.5: $11.25 per 1M blended tokens.
Qwen3 5 397B A17b: $1.2750000000000001 per 1M blended tokens.
GPT-5.5: closed weights.
Qwen3 5 397B A17b: open weights.
General LLM: As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in General LLM at #21 against #66.
Reasoning: As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in Reasoning at #25 against #64.
Science: As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in Science at #30 against #53.
Coding › Web dev: As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in Coding › Web dev at #44 against #72.
Long context: As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in Long context at #23 against #60.
Factuality: As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in Factuality at #5 against #59.
GPT-5.5 or Qwen3 5 397B A17b?
As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.
GPT-5.5 or Qwen3 5 397B A17b for General LLM?
As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in General LLM at #21 against #66.
GPT-5.5 or Qwen3 5 397B A17b for Reasoning?
As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in Reasoning at #25 against #64.
GPT-5.5 or Qwen3 5 397B A17b for Science?
As of Oct 14, 2026, GPT-5.5 leads Qwen3 5 397B A17b in Science at #30 against #53.