BenchLeader

GPT-5.4 Pro vs Qwen3 6

Verdict
  • GPT-5.4 Pro leads on quality: 64.3 vs 63.3.
  • GPT-5.4 Pro is stronger in knowledge, multimodal, reasoning.
  • Qwen3 6 (max) is stronger in instruction following, agents & tools, coding, composite, human preference, long context, maths.
  • Qwen3 6 (max) is 23× cheaper ($2.96 vs $67.50 per 1M blended).
  • Qwen3 6 (max) streams 58.8× faster (59 vs 1 tokens per second).
MetricGPT-5.4 ProQwen3 6 (max)
BenchLeader Index64.363.3
Instruction following score67.374.2
Knowledge score73.664.0
Multimodal score69.8
Reasoning score75.363.2
Agents & tools score72.0
Coding score58.2
Composite score64.9
Human preference score65.9
Long context score66.9
Maths score64.2
Blended price $/M$67.50$2.96
Output speed1 tok/s59 tok/s
Time to first answer6.5 s38.5 s
Context window1.1M246k
GPQA Diamond87.4%
OTIS Mock AIME91.1%
SWE-bench Verified (Epoch)76.7%
SimpleQA Verified52.0%
Humanity's Last Exam44.3%
SimpleBench74.1%63.0%
Epoch Capabilities Index158.9149.3
LMArena Text1460
LMArena Hard Prompts1482
LMArena Coding1509
LMArena WebDev1479
AA Intelligence Index28.4
IFBench76.6%
AA-LCR80.7%
AA-Omniscience9.2
Terminal-Bench Hard43.9%
GPQA Diamond (AA)88.8%
Humanity's Last Exam (AA)30.8%
τ²-Bench Telecom (AA)95.9%
CorpFin66.5%
SWE-bench (Vals)72.8%
MultiChallenge69.2%
VISTA53.9%
MultiNRC62.3%
TutorBench56.6%

Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.

GPT-5.4 Pro vs Qwen3 6: questions

Is GPT-5.4 Pro better than Qwen3 6?
GPT-5.4 Pro leads on quality: 64.3 vs 63.3. The BenchLeader Index combines every independent quality benchmark; GPT-5.4 Pro is ahead overall as of 2026-09-10, but check the category scores for your use.
Which is cheaper, GPT-5.4 Pro or Qwen3 6?
Qwen3 6 is cheaper: $2.96 against $67.50 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-5.4 Pro or Qwen3 6?
Qwen3 6 streams faster: 59 against 1 output tokens per second.
Which has the larger context window?
GPT-5.4 Pro accepts more context: 1.1M against 246k tokens.