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Context, limits, capabilities, price and use cases side by side — up to 4 models at a time. The URL holds your selection, so you can share it.

DeepSeek V4 FlashDeepSeek V4.1 FlashDeepSeek V4 ProChat with these 3
AttributeDeepSeek V4 Flashdeepseek/deepseek-v4-flashDeepSeek V4.1 Flashdeepseek/deepseek-v4.1-flashDeepSeek V4 Prodeepseek/deepseek-v4-pro
Specs
Context window1M1M1M
Max output384K384K384K
Input modalitiesTextTextImageText
Output modalitiesTextTextText
Capabilities
StreamingSupportedSupportedSupported
Tool callingSupportedSupportedSupported
Structured output (JSON)SupportedSupportedSupported
Image inputNot supportedSupportedNot supported
Thinking modeSupportedSupportedSupported
Price / 1M tokens
Input$ 0.30$ 0.30$ 1.35
Output$ 1.20$ 1.20$ 4.05
Cache read$ 0.0060$ 0.0060$ 0.045
Cache write$ 0.30$ 0.30$ 1.35
What it is good at
Best for
  • Cost-sensitive coding agents
  • High-volume tool workflows
  • Terminal and coding agents
  • Agents that read screenshots and charts
  • Hard knowledge and research
  • High-throughput production traffic
  • Complex long-horizon agents
  • Research and hard reasoning
Published benchmarks
Terminal-Bench 2.1pass_ratesetups differ by: reasoning—
  • 90.6%(setup not fully disclosed)
  • 78.7%effort max(setup not fully disclosed)
Terminal-Bench 4.0pass_rate—
  • 31.2%(setup not fully disclosed)
—
Agents' Last Examscore—
  • 31.8%(setup not fully disclosed)
—
AutomationBenchscore—
  • 54.8%(setup not fully disclosed)
—
DeepSWE 1.1resolved_rate—
  • 74.2%(setup not fully disclosed)
—
NL2Reposcore—
  • 65.4%(setup not fully disclosed)
—
SciCodescore——
  • 49.2%effort max(setup not fully disclosed)
CyberGymscore—
  • 88.1%(setup not fully disclosed)
—
GDPval-AA v2elo——
  • 1590.3effort max(setup not fully disclosed)
AA-LCRscore——
  • 75.3%effort max(setup not fully disclosed)
MathArena Apexscore—
  • 65.6%(setup not fully disclosed)
—
Chartography (with tools)score—
  • 78.9%(setup not fully disclosed)
—
AA Intelligence Index v4.1.1score——
  • 53effort max(setup not fully disclosed)
Humanity's Last Examaccuracysetups differ by: reasoning—
  • 36.8%(setup not fully disclosed)
  • 39.3%effort max(setup not fully disclosed)
Humanity's Last Exam (with tools)accuracy—
  • 63.9%(setup not fully disclosed)
—
CritPtscore——
  • 18%effort max(setup not fully disclosed)
GPQA Diamondaccuracysetups differ by: reasoning—
  • 90.9%(setup not fully disclosed)
  • 92.8%effort max(setup not fully disclosed)
tau3-Bankingscore——
  • 39.6%effort max(setup not fully disclosed)