token.app › Compare › Qwen3 VL 235B A22B Thinking vs GPT-5.6 Terra

Qwen3 VL 235B A22B Thinking vs GPT-5.6 Terra

Qwen3 VL 235B A22B Thinking is 1.7× cheaper per token on a blended 3:1 basis. GPT-5.6 Terra accepts the larger context window (1.1M).

Head to head
Blended price uses a 3:1 input:output mix
Qwen3 VL 235B A22B ThinkingGPT-5.6 Terra
ProviderAlibabaOpenAI
Input $/1M$0.400$1.00
Output $/1M$4.00$6.00
Blended $/1M$1.30$2.25
Context window131K1.1M
Max output33K128K
ReleasedSep 2025Jul 2026
LicenceOpen weightsProprietary
Choose Qwen3 VL 235B A22B Thinking if…
  • Costs less per token — $1.30 vs $2.25 blended
  • Open weights — self-hostable
Choose GPT-5.6 Terra if…
  • Larger context window (1.1M)
  • Newer model (released Jul 2026)
FAQ
Which is better, Qwen3 VL 235B A22B Thinking or GPT-5.6 Terra?
We do not hold independently-run benchmark scores covering both Qwen3 VL 235B A22B Thinking and GPT-5.6 Terra, so we make no quality claim. Their pricing and specifications are compared on this page.
Is Qwen3 VL 235B A22B Thinking cheaper than GPT-5.6 Terra?
Qwen3 VL 235B A22B Thinking is cheaper: $1.30 versus $2.25 per million tokens blended at 3:1 input:output. Input alone: $0.400 vs $1.00. Output alone: $4.00 vs $6.00.
What context windows do Qwen3 VL 235B A22B Thinking and GPT-5.6 Terra have?
Qwen3 VL 235B A22B Thinking: 131,072 tokens. GPT-5.6 Terra: 1,050,000 tokens.
Who makes Qwen3 VL 235B A22B Thinking and GPT-5.6 Terra?
Qwen3 VL 235B A22B Thinking is made by Alibaba. GPT-5.6 Terra is made by OpenAI.
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