token.app › Compare › GPT-3.5 Turbo Instruct vs DeepSeek V4.1 Flash 1017

GPT-3.5 Turbo Instruct vs DeepSeek V4.1 Flash 1017

DeepSeek V4.1 Flash 1017 is 6.2× cheaper per token on a blended 3:1 basis. DeepSeek V4.1 Flash 1017 accepts the larger context window (1.0M).

Head to head
Blended price uses a 3:1 input:output mix
GPT-3.5 Turbo InstructDeepSeek V4.1 Flash 1017
ProviderOpenAIDeepSeek
Input $/1M$1.50$0.150
Output $/1M$2.00$0.600
Blended $/1M$1.63$0.262
Context window4K1.0M
Max output4K393K
ReleasedSep 2023Oct 2026
LicenceProprietaryOpen weights
Choose GPT-3.5 Turbo Instruct if…
  • No clear advantage on the data we hold.
Choose DeepSeek V4.1 Flash 1017 if…
  • Costs less per token — $0.262 vs $1.63 blended
  • Larger context window (1.0M)
  • Open weights — self-hostable
  • Newer model (released Oct 2026)
FAQ
Which is better, GPT-3.5 Turbo Instruct or DeepSeek V4.1 Flash 1017?
We do not hold independently-run benchmark scores covering both GPT-3.5 Turbo Instruct and DeepSeek V4.1 Flash 1017, so we make no quality claim. Their pricing and specifications are compared on this page.
Is GPT-3.5 Turbo Instruct cheaper than DeepSeek V4.1 Flash 1017?
DeepSeek V4.1 Flash 1017 is cheaper: $0.262 versus $1.63 per million tokens blended at 3:1 input:output. Input alone: $1.50 vs $0.150. Output alone: $2.00 vs $0.600.
What context windows do GPT-3.5 Turbo Instruct and DeepSeek V4.1 Flash 1017 have?
GPT-3.5 Turbo Instruct: 4,095 tokens. DeepSeek V4.1 Flash 1017: 1,048,576 tokens.
Who makes GPT-3.5 Turbo Instruct and DeepSeek V4.1 Flash 1017?
GPT-3.5 Turbo Instruct is made by OpenAI. DeepSeek V4.1 Flash 1017 is made by DeepSeek.
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