BenchLeader

Claude Opus 5.5 vs Deepseek v4 Flash Vision

Verdict
  • Claude Opus 5.5 (thinking) leads on quality: 70.7 vs 59.3.
  • Claude Opus 5.5 (thinking) is stronger in composite, knowledge, long context, multimodal, reasoning.
  • Deepseek v4 Flash Vision (max) is stronger in agents & tools.
  • Deepseek v4 Flash Vision (max) is 31× cheaper ($0.262 vs $8.00 per 1M blended).
  • Deepseek v4 Flash Vision (max) streams 4.8× faster (231 vs 48 tokens per second).
MetricClaude Opus 5.5 (thinking)Deepseek v4 Flash Vision (max)
BenchLeader Index70.759.3
Composite score95.071.7
Knowledge score85.055.2
Long context score68.566.8
Multimodal score71.958.7
Reasoning score95.061.6
Agents & tools score69.9
Blended price $/M$8.00$0.262
Output speed48 tok/s231 tok/s
Time to first answer4.2 s9.8 s
Context window1M1M
AA Intelligence Index57.634.8
AA-LCR84.7%81.3%
MMMU-Pro87.7%74.8%
AA-Omniscience46.4-17.6
GPQA Diamond (AA)91.3%
Humanity's Last Exam (AA)61.4%34.5%
SciCode (AA)66.9%49.6%
CritPt31.7%10.9%
GDPval (AA)67.3%51.7%
τ²-Bench Banking (AA)41.0%
Terminal-Bench 4.0 (AA)59.6%12.1%
Terminal-Bench 2.1 (AA)74.2%
AutomationBench69.5%
GDP.pdf26.2%
Harvey LAB91.2%
AA-Omniscience: accuracy66.2%38.6%
AA-Omniscience: non-hallucination41.4%8.5%
AA-Briefcase1822

Data as of 2026-09-22. Best configuration of each model; every score links to its source on the model pages.

Claude Opus 5.5 vs Deepseek v4 Flash Vision: questions

Is Claude Opus 5.5 better than Deepseek v4 Flash Vision?
Claude Opus 5.5 (thinking) leads on quality: 70.7 vs 59.3. The BenchLeader Index combines every independent quality benchmark; Claude Opus 5.5 (thinking) is ahead overall as of 2026-09-22, but check the category scores for your use.
Which is cheaper, Claude Opus 5.5 or Deepseek v4 Flash Vision?
Deepseek v4 Flash Vision is cheaper: $0.262 against $8.00 per million tokens, blended at three input tokens per output token.
Which is faster, Claude Opus 5.5 or Deepseek v4 Flash Vision?
Deepseek v4 Flash Vision streams faster: 231 against 48 output tokens per second.
Which has the larger context window?
Both accept 1M tokens of context.