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Qwen3.6 PlusQwen3.7 PlusChat with these 2
AttributeQwen3.6 Plusqwen/qwen3.6-plusQwen3.7 Plusqwen/qwen3.7-plus10% off
Specs
Context window1M1M
Max output66K64K
Input modalitiesTextImageVideoTextImageVideo
Output modalitiesTextText
Capabilities
StreamingSupportedSupported
Tool callingSupportedSupported
Structured output (JSON)SupportedSupported
Image inputSupportedSupported
Thinking modeSupportedSupported
Price / 1M tokens
Input$ 0.32>= 256K$ 1.25$ 0.32$ 0.29>= 256K$ 0.96$ 0.86
Output$ 1.88>= 256K$ 7.50$ 1.25$ 1.13>= 256K$ 3.75$ 3.38
Cache read$ 0.032>= 256K$ 0.12$ 0.032$ 0.029>= 256K$ 0.096$ 0.086
Cache write$ 0.40>= 256K$ 1.57$ 0.40$ 0.36>= 256K$ 1.20$ 1.08
What it is good at
Best for
  • Long-context knowledge work
  • Enterprise knowledge work
  • Multimodal coding agents
Published benchmarks
Terminal-Bench 2.0pass_ratesetups differ by: harness
  • 61.6%(setup not fully disclosed)
  • 70.3%Terminus(setup not fully disclosed)
SWE-Bench Proresolved_rate
  • 56.6%(setup not fully disclosed)
  • 57.6%(setup not fully disclosed)
SWE-Bench Verifiedresolved_rate
  • 78.8%(setup not fully disclosed)
  • 77.7%(setup not fully disclosed)
AndroidWorldsuccess_rate
  • 81%(setup not fully disclosed)
OSWorld Verifiedsuccess_rate
  • 62.5%(setup not fully disclosed)
  • 73.3%(setup not fully disclosed)
MRCR v2 128Kscore
  • 91.7%(setup not fully disclosed)
MMMU Proaccuracy
  • 78.8%(setup not fully disclosed)
  • 79%(setup not fully disclosed)
Humanity's Last Exam (with tools)accuracy
  • 50.6%(setup not fully disclosed)
GPQA Diamondaccuracy
  • 90.4%(setup not fully disclosed)
  • 90.3%(setup not fully disclosed)
MCPMarkscore
  • 48.2%(setup not fully disclosed)
  • 58.7%(setup not fully disclosed)
VideoMMMUaccuracy
  • 85.4%(setup not fully disclosed)