BenchLeader

DeepSeek V4 Flash vs GPT-5.5 Pro

Verdict
  • GPT-5.5 Pro (xhigh) leads on quality: 67.1 vs 62.1.
  • DeepSeek V4 Flash (max) is stronger in agents & tools, coding, composite, instruction following, knowledge, long context.
  • GPT-5.5 Pro (xhigh) is stronger in maths, reasoning.
  • DeepSeek V4 Flash (max) is 258× cheaper ($0.262 vs $67.50 per 1M blended).
  • DeepSeek V4 Flash (max) streams 52.9× faster (212 vs 4 tokens per second).
MetricDeepSeek V4 Flash (max)GPT-5.5 Pro (xhigh)
BenchLeader Index62.167.1
Agents & tools score67.0
Coding score49.1
Composite score72.8
Instruction following score76.7
Knowledge score57.4
Long context score66.3
Maths score57.374.5
Reasoning score73.980.1
Blended price $/M$0.262$67.50
Output speed212 tok/s4 tok/s
Time to first answer10.6 s3.5 s
Context window1M1.1M
FrontierMath Tiers 1–387.7%
FrontierMath Tier 478.0%
SciCode44.9%
WeirdML45.6%
AA Intelligence Index34.5
IFBench79.2%
AA-LCR79.7%
AA-Omniscience-14.3
Terminal-Bench Hard35.6%
GPQA Diamond (AA)90.8%
Humanity's Last Exam (AA)38.5%
SciCode (AA)50.4%
τ²-Bench Telecom (AA)95.0%
AIME 202695.8%
HMMT February 202693.9%
MathArena Apex27.1%
ARC-AGI-195.0%
ARC-AGI-284.2%
CritPt16.6%30.6%
GDPval (AA)47.1%
τ²-Bench Banking (AA)39.4%
ITBench SRE (AA)31.5%
Analyst Agent (AA)25.0%
LMCA35.9%53.9%
DTBench86.4%96.0%

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

DeepSeek V4 Flash vs GPT-5.5 Pro: questions

Is DeepSeek V4 Flash better than GPT-5.5 Pro?
GPT-5.5 Pro (xhigh) leads on quality: 67.1 vs 62.1. 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 Flash or GPT-5.5 Pro?
DeepSeek V4 Flash is cheaper: $0.262 against $67.50 per million tokens, blended at three input tokens per output token.
Which is faster, DeepSeek V4 Flash or GPT-5.5 Pro?
DeepSeek V4 Flash streams faster: 212 against 4 output tokens per second.
Which has the larger context window?
GPT-5.5 Pro accepts more context: 1.1M against 1M tokens.