BenchLeader

DeepSeek V4.1 Flash vs GPT-5.5 Pro

Verdict
  • GPT-5.5 Pro (xhigh) leads on quality: 67.1 vs 61.9.
  • DeepSeek V4.1 Flash (max) is stronger in agents & tools, coding, composite, knowledge, long context, multimodal.
  • GPT-5.5 Pro (xhigh) is stronger in reasoning, maths.
  • DeepSeek V4.1 Flash (max) is 258× cheaper ($0.262 vs $67.50 per 1M blended).
  • DeepSeek V4.1 Flash (max) streams 53.7× faster (215 vs 4 tokens per second).
MetricDeepSeek V4.1 Flash (max)GPT-5.5 Pro (xhigh)
BenchLeader Index61.967.1
Agents & tools score59.6
Coding score68.9
Composite score74.5
Knowledge score61.7
Long context score68.5
Multimodal score61.4
Reasoning score69.580.1
Maths score74.5
Blended price $/M$0.262$67.50
Output speed215 tok/s4 tok/s
Time to first answer10.5 s3.5 s
Context window1M1.1M
FrontierMath Tiers 1–387.7%
FrontierMath Tier 478.0%
LMArena WebDev1614
LMArena Agent4.9
LiveBench81.1%
LiveBench Reasoning86.7%
LiveBench Coding80.0%
LiveBench Agentic Coding77.3%
LiveBench Mathematics93.3%
LiveBench Data Analysis79.3%
LiveBench Language81.2%
LiveBench Instruction Following70.0%
AA Intelligence Index39.5
AA-LCR84.0%
MMMU-Pro77.0%
AA-Omniscience-5.3
Humanity's Last Exam (AA)39.3%
SciCode (AA)51.9%
ARC-AGI-195.0%
ARC-AGI-284.2%
CritPt14.3%30.6%
GDPval (AA)56.6%
LMCA53.9%
DTBench96.0%

Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.

DeepSeek V4.1 Flash vs GPT-5.5 Pro: questions

Is DeepSeek V4.1 Flash better than GPT-5.5 Pro?
GPT-5.5 Pro (xhigh) leads on quality: 67.1 vs 61.9. The BenchLeader Index combines every independent quality benchmark; GPT-5.5 Pro (xhigh) is ahead overall as of 2026-09-19, but check the category scores for your use.
Which is cheaper, DeepSeek V4.1 Flash or GPT-5.5 Pro?
DeepSeek V4.1 Flash is cheaper: $0.262 against $67.50 per million tokens, blended at three input tokens per output token.
Which is faster, DeepSeek V4.1 Flash or GPT-5.5 Pro?
DeepSeek V4.1 Flash streams faster: 215 against 4 output tokens per second.
Which has the larger context window?
GPT-5.5 Pro accepts more context: 1.1M against 1M tokens.