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DeepSeek V3.2 vs GPT-4 Turbo

Compare DeepSeek and OpenAI AI models

DeepSeek
DeepSeek V3.2
vs
OpenAI
GPT-4 Turbo

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

DeepSeek V3.2

Per Request:$0.000490
Daily:$0.049
Monthly:$1.47
Yearly:$17.885

GPT-4 Turbo

Per Request:$0.025
Daily:$2.50
Monthly:$75.00
Yearly:$912.50

Cost Differences

+$0.02451
Per Request
+$2.451
Daily
+$73.53
Monthly
+$894.615
Yearly

GPT-4 Turbo costs more than DeepSeek V3.2

Feature Comparison

FeatureDeepSeek V3.2GPT-4 Turbo
ProviderDeepSeekOpenAI
Input Price$0.28/1M tokens$10.00/1M tokens
Output Price$0.42/1M tokens$30.00/1M tokens
Context Window128,000 tokens128,000 tokens
Max Output32,768 tokens4,096 tokens
Categoryefficientflagship
Capabilities
textcodereasoning
textvisioncode
Release Date12/1/20254/9/2024

DeepSeek V3.2 vs GPT-4 Turbo: Which Should You Choose?

Choosing between DeepSeek V3.2 and GPT-4 Turbo depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek V3.2 is the more affordable option at $0.28/1M input tokens97% cheaper than GPT-4 Turbo.

These models come from different providers — DeepSeek and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with DeepSeek, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: DeepSeek V3.2 is a efficient model while GPT-4 Turbo is flagship. This means they're optimized for different workloads. GPT-4 Turbo targets more demanding workloads, while DeepSeek V3.2 provides a cost-effective option for everyday tasks.

Output costs matter too. DeepSeek V3.2 charges $0.42/1M output tokens vs $30.00 for GPT-4 Turbo. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. DeepSeek V3.2 has the edge here at $0.42/1M output tokens.

Multimodal capabilities: GPT-4 Turbo supports vision (image inputs) while DeepSeek V3.2 is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose DeepSeek V3.2 when:

  • • Budget is a primary concern
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using DeepSeek's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose GPT-4 Turbo when:

  • • You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

DeepSeek V3.2 (DeepSeek)

GPT-4 Turbo (OpenAI)

Start using DeepSeek V3.2 today

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Start using GPT-4 Turbo today

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Frequently Asked Questions

Which is cheaper, DeepSeek V3.2 or GPT-4 Turbo?
DeepSeek V3.2 is cheaper for input tokens at $0.28 per million tokens vs $10.00 for GPT-4 Turbo — that's 97% savings on input costs.
What is the context window difference between DeepSeek V3.2 and GPT-4 Turbo?
DeepSeek V3.2 supports 128,000 tokens while GPT-4 Turbo supports 128,000 tokens — a difference of 0 tokens in favor of DeepSeek V3.2.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, DeepSeek V3.2 is the lower-cost option, while DeepSeek V3.2 offers a larger context window (128,000 vs 128,000 tokens). Choose DeepSeek V3.2 for budget sensitivity or DeepSeek V3.2 for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, DeepSeek V3.2 costs about $1.47/month and GPT-4 Turbo costs about $75.00/month. Overall, DeepSeek V3.2 has lower combined input + output rates ($0.28 in, $0.42 out) vs GPT-4 Turbo.

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