Back to model catalog

Compare models

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.

Qwen3.6 FlashQwen3.7 FlashChat with these 2
AttributeQwen3.6 Flashqwen/qwen3.6-flashQwen3.7 Flashqwen/qwen3.7-flash
Specs
Context window1M1M
Max output66K66K
Input modalitiesTextImageVideoTextImageVideo
Output modalitiesTextText
Capabilities
StreamingSupportedSupported
Tool callingSupportedSupported
Structured output (JSON)SupportedSupported
Image inputSupportedSupported
Thinking modeSupportedSupported
Price / 1M tokens
Input$ 0.19>= 256K$ 0.75$ 0.040>= 32K$ 0.10>= 256K$ 0.19
Output$ 1.13>= 256K$ 4.50$ 0.13>= 32K$ 0.37>= 256K$ 0.74
Cache read$ 0.019>= 256K$ 0.075$ 0.010>= 32K$ 0.020>= 256K$ 0.040
Cache write$ 0.24>= 256K$ 0.94$ 0.040>= 32K$ 0.12>= 256K$ 0.24
What it is good at
Best for
  • Fast multimodal agents
  • High-volume agents
  • Visual coding
Published benchmarks
Terminal-Bench 2.0pass_rate
  • 51.5%Harbor/Terminus-2 · 5 runs(setup not fully disclosed)
SWE-Bench Proresolved_rate
  • 49.5%(setup not fully disclosed)
SWE-Bench Verifiedresolved_rate
  • 73.4%(setup not fully disclosed)
MMMU Proaccuracy
  • 75.3%(setup not fully disclosed)
GPQA Diamondaccuracy
  • 86%(setup not fully disclosed)
MCPMarkscore
  • 37%(setup not fully disclosed)
VideoMMMUaccuracy
  • 83.7%(setup not fully disclosed)