Compare · 2026-10-14

GPT-5.4 vs Qwen3 5 397B A17b

As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.

CategoryGPT-5.4Qwen3 5 397B A17b
General LLM
#28 · Was SOTA · General LLM
Margin 19.04761904761905
LMArena leaderboard dataset · Oct 13, 2026
#66 · #66 in General LLM
Margin 44.89795918367347
LMArena leaderboard dataset · Oct 13, 2026
Reasoning
#29 · #29 in Reasoning
Margin 20.54794520547945
LMArena leaderboard dataset · Oct 13, 2026
#64 · #64 in Reasoning
Margin 44.52054794520548
LMArena leaderboard dataset · Oct 13, 2026
Math
#9 · #9 in Math
Margin 17.777777777777757
Epoch AI benchmarking hub · Mar 5, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Science
#16 · #16 in Science
Margin —
Epoch AI benchmarking hub · Mar 5, 2026
#53 · #53 in Science
Margin —
Epoch AI benchmarking hub · Feb 13, 2026
Coding
#— · Not enough data
Margin —
Epoch AI benchmarking hub · Mar 5, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 13, 2026
Coding › Web dev
#55 · #55 in Coding › Web dev
Margin 50.467289719626166
LMArena leaderboard dataset · Oct 13, 2026
#72 · #72 in Coding › Web dev
Margin 66.35514018691589
LMArena leaderboard dataset · Oct 13, 2026
Long context
#34 · #34 in Long context
Margin 23.12925170068027
LMArena leaderboard dataset · Oct 13, 2026
#60 · #60 in Long context
Margin 40.81632653061225
LMArena leaderboard dataset · Oct 13, 2026
Vision
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 9, 2026
#— · Not enough data
Margin —
LMArena leaderboard dataset · Oct 9, 2026
Factuality
#6 · Was SOTA · Factuality
Margin 5.22388059701494
LMArena leaderboard dataset · Oct 13, 2026
#59 · #59 in Factuality
Margin 44.776119402985074
LMArena leaderboard dataset · Oct 13, 2026
Abstraction (ARC)
#10 · #10 in Abstraction (ARC)
Margin —
Epoch AI benchmarking hub · Mar 5, 2026
—
Price per 1M tokens

GPT-5.4: $5.625 per 1M blended tokens.

Qwen3 5 397B A17b: $1.2750000000000001 per 1M blended tokens.

Open weights

GPT-5.4: closed weights.

Qwen3 5 397B A17b: open weights.

Which to pick

General LLM: As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in General LLM at #28 against #66.

Reasoning: As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in Reasoning at #29 against #64.

Science: As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in Science at #16 against #53.

Coding › Web dev: As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in Coding › Web dev at #55 against #72.

Long context: As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in Long context at #34 against #60.

Factuality: As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in Factuality at #6 against #59.

GPT-5.4 · Qwen3 5 397B A17b

GPT-5.4 or Qwen3 5 397B A17b?

As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in 6 of 6 shared categories: General LLM, Reasoning, Science, Coding › Web dev, Long context, and Factuality.

GPT-5.4 or Qwen3 5 397B A17b for General LLM?

As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in General LLM at #28 against #66.

GPT-5.4 or Qwen3 5 397B A17b for Reasoning?

As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in Reasoning at #29 against #64.

GPT-5.4 or Qwen3 5 397B A17b for Science?

As of Oct 14, 2026, GPT-5.4 leads Qwen3 5 397B A17b in Science at #16 against #53.