[::] Agentic Stacks

GPT-5.5 vs Qwen3.5 (397B-A17B)

Pick two tools from the same category to compare side-by-side.

GPT-5.5
OpenAI's flagship frontier model, positioned as a new class of intelligence for coding and professional work.
Qwen3.5 (397B-A17B)
Alibaba's Apache-2.0 open-weight Qwen3.5 flagship MoE with very low active-parameter cost and broad multilingual coverage.
Category modelmodel
Vendor type commercialopen source
Pricing usagefree
Strengths
  • + OpenAI's recommended model for complex reasoning and coding
  • + 1M-token context window with up to 128K output tokens
  • + Generally available via the OpenAI API with listed pricing of $5 input / $30 output per million tokens
  • + Permissive Apache 2.0 license
  • + Only 17B active parameters, enabling comparatively cheap inference
  • + First-class MCP and tool-calling support via Qwen-Agent
  • + 201-language coverage for multilingual agents
Tradeoffs
  • − Most expensive tier in OpenAI's lineup; GPT-5.4 is positioned as the more affordable option for similar work
  • − API-only commercial model; no open weights
  • − Long context beyond 262K requires YaRN extension rather than native support
  • − Flagship commercial Qwen3-Max capabilities are not part of the open release
Used in stacks 0 0

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