token.app › Compare › GPT-5.6 Luna (batch) vs DeepSeek V4.1 Flash 1017

GPT-5.6 Luna (batch) vs DeepSeek V4.1 Flash 1017

GPT-5.6 Luna (batch) is 1.2× cheaper per token on a blended 3:1 basis. GPT-5.6 Luna (batch) accepts the larger context window (1.1M).

Head to head
Blended price uses a 3:1 input:output mix
GPT-5.6 Luna (batch)DeepSeek V4.1 Flash 1017
ProviderOpenAIDeepSeek
Input $/1M$0.100$0.150
Output $/1M$0.600$0.600
Blended $/1M$0.225$0.262
Context window1.1M1.0M
Max output128K393K
ReleasedJul 2026Oct 2026
LicenceProprietaryOpen weights
Choose GPT-5.6 Luna (batch) if…
  • Costs less per token — $0.225 vs $0.262 blended
  • Larger context window (1.1M)
Choose DeepSeek V4.1 Flash 1017 if…
  • Open weights — self-hostable
  • Newer model (released Oct 2026)
FAQ
Which is better, GPT-5.6 Luna (batch) or DeepSeek V4.1 Flash 1017?
We do not hold independently-run benchmark scores covering both GPT-5.6 Luna (batch) and DeepSeek V4.1 Flash 1017, so we make no quality claim. Their pricing and specifications are compared on this page.
Is GPT-5.6 Luna (batch) cheaper than DeepSeek V4.1 Flash 1017?
GPT-5.6 Luna (batch) is cheaper: $0.225 versus $0.262 per million tokens blended at 3:1 input:output. Input alone: $0.100 vs $0.150. Output alone: $0.600 vs $0.600.
What context windows do GPT-5.6 Luna (batch) and DeepSeek V4.1 Flash 1017 have?
GPT-5.6 Luna (batch): 1,050,000 tokens. DeepSeek V4.1 Flash 1017: 1,048,576 tokens.
Who makes GPT-5.6 Luna (batch) and DeepSeek V4.1 Flash 1017?
GPT-5.6 Luna (batch) is made by OpenAI. DeepSeek V4.1 Flash 1017 is made by DeepSeek.
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