token.app › Compare › Qwen3 235B A22B Instruct 2507 vs GPT-5.6 Luna

Qwen3 235B A22B Instruct 2507 vs GPT-5.6 Luna

Qwen3 235B A22B Instruct 2507 is 1.1× cheaper per token on a blended 3:1 basis. GPT-5.6 Luna accepts the larger context window (1.1M).

Head to head
Blended price uses a 3:1 input:output mix
Qwen3 235B A22B Instruct 2507GPT-5.6 Luna
ProviderAlibabaOpenAI
Input $/1M$0.090$0.100
Output $/1M$0.550$0.600
Blended $/1M$0.205$0.225
Context window262K1.1M
Max output16K128K
ReleasedJul 2025Jul 2026
LicenceOpen weightsProprietary
Choose Qwen3 235B A22B Instruct 2507 if…
  • Costs less per token — $0.205 vs $0.225 blended
  • Open weights — self-hostable
Choose GPT-5.6 Luna if…
  • Larger context window (1.1M)
  • Newer model (released Jul 2026)
FAQ
Which is better, Qwen3 235B A22B Instruct 2507 or GPT-5.6 Luna?
We do not hold independently-run benchmark scores covering both Qwen3 235B A22B Instruct 2507 and GPT-5.6 Luna, so we make no quality claim. Their pricing and specifications are compared on this page.
Is Qwen3 235B A22B Instruct 2507 cheaper than GPT-5.6 Luna?
Qwen3 235B A22B Instruct 2507 is cheaper: $0.205 versus $0.225 per million tokens blended at 3:1 input:output. Input alone: $0.090 vs $0.100. Output alone: $0.550 vs $0.600.
What context windows do Qwen3 235B A22B Instruct 2507 and GPT-5.6 Luna have?
Qwen3 235B A22B Instruct 2507: 262,144 tokens. GPT-5.6 Luna: 1,050,000 tokens.
Who makes Qwen3 235B A22B Instruct 2507 and GPT-5.6 Luna?
Qwen3 235B A22B Instruct 2507 is made by Alibaba. GPT-5.6 Luna is made by OpenAI.
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