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DeepSeek R1 V3.2 vs GPT-4 Turbo

Compare DeepSeek and OpenAI AI models

DeepSeek
DeepSeek R1 V3.2
vs
OpenAI
GPT-4 Turbo

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

DeepSeek R1 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 R1 V3.2

Feature Comparison

FeatureDeepSeek R1 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 Output65,536 tokens4,096 tokens
Categoryreasoningflagship
Capabilities
textreasoningcode
textvisioncode
Release Date1/20/20254/9/2024

DeepSeek R1 V3.2 vs GPT-4 Turbo: Which Should You Choose?

Choosing between DeepSeek R1 V3.2 and GPT-4 Turbo depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek R1 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 R1 V3.2 is a reasoning model while GPT-4 Turbo is flagship. This means they're optimized for different workloads. DeepSeek R1 V3.2 is built for complex tasks that require deeper reasoning, while GPT-4 Turbo offers better value for routine operations.

Output costs matter too. DeepSeek R1 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 R1 V3.2 has the edge here at $0.42/1M output tokens.

Multimodal capabilities: GPT-4 Turbo supports vision (image inputs) while DeepSeek R1 V3.2 is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose DeepSeek R1 V3.2 when:

  • • Budget is a primary concern
  • • You need longer outputs (up to 65,536 tokens)
  • • You're already using DeepSeek's API ecosystem

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 R1 V3.2 (DeepSeek)

GPT-4 Turbo (OpenAI)

Start using DeepSeek R1 V3.2 today

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Start using GPT-4 Turbo today

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Frequently Asked Questions

Which is cheaper, DeepSeek R1 V3.2 or GPT-4 Turbo?
DeepSeek R1 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 R1 V3.2 and GPT-4 Turbo?
DeepSeek R1 V3.2 supports 128,000 tokens while GPT-4 Turbo supports 128,000 tokens — a difference of 0 tokens in favor of DeepSeek R1 V3.2.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, DeepSeek R1 V3.2 is the lower-cost option, while DeepSeek R1 V3.2 offers a larger context window (128,000 vs 128,000 tokens). Choose DeepSeek R1 V3.2 for budget sensitivity or DeepSeek R1 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 R1 V3.2 costs about $1.47/month and GPT-4 Turbo costs about $75.00/month. Overall, DeepSeek R1 V3.2 has lower combined input + output rates ($0.28 in, $0.42 out) vs GPT-4 Turbo.

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