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DeepSeek V3.2 vs GPT-5.3 Codex

Compare DeepSeek and OpenAI AI models

DeepSeek
DeepSeek V3.2
vs
OpenAI
GPT-5.3 Codex

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-5.3 Codex

Per Request:$0.008750
Daily:$0.875
Monthly:$26.25
Yearly:$319.375

Cost Differences

+$0.008260
Per Request
+$0.826
Daily
+$24.78
Monthly
+$301.49
Yearly

GPT-5.3 Codex costs more than DeepSeek V3.2

Feature Comparison

FeatureDeepSeek V3.2GPT-5.3 Codex
ProviderDeepSeekOpenAI
Input Price$0.28/1M tokens$1.75/1M tokens
Output Price$0.42/1M tokens$14.00/1M tokens
Context Window128,000 tokens256,000 tokens
Max Output32,768 tokens32,768 tokens
Categoryefficientcoding
Capabilities
textcodereasoning
textcode
Release Date12/1/20253/1/2026

DeepSeek V3.2 vs GPT-5.3 Codex: Which Should You Choose?

Choosing between DeepSeek V3.2 and GPT-5.3 Codex depends on your priorities: cost efficiency, context length, or raw capability. DeepSeek V3.2 is the more affordable option at $0.28/1M input tokens84% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 128,000 for DeepSeek V3.2.

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-5.3 Codex is coding. This means they're optimized for different workloads. GPT-5.3 Codex 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 $14.00 for GPT-5.3 Codex. 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.

Best Use Cases

Choose DeepSeek V3.2 when:

  • • Budget is a primary concern
  • • You need more capabilities (reasoning)
  • • You're already using DeepSeek's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose GPT-5.3 Codex when:

  • • You need a larger context window (256,000 tokens)
  • • 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-5.3 Codex (OpenAI)

Start using DeepSeek V3.2 today

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Start using GPT-5.3 Codex today

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Frequently Asked Questions

Which is cheaper, DeepSeek V3.2 or GPT-5.3 Codex?
DeepSeek V3.2 is cheaper for input tokens at $0.28 per million tokens vs $1.75 for GPT-5.3 Codex — that's 84% savings on input costs.
What is the context window difference between DeepSeek V3.2 and GPT-5.3 Codex?
DeepSeek V3.2 supports 128,000 tokens while GPT-5.3 Codex supports 256,000 tokens — a difference of 128,000 tokens in favor of GPT-5.3 Codex.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, DeepSeek V3.2 is the lower-cost option, while GPT-5.3 Codex offers a larger context window (256,000 vs 128,000 tokens). Choose DeepSeek V3.2 for budget sensitivity or GPT-5.3 Codex 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-5.3 Codex costs about $26.25/month. Overall, DeepSeek V3.2 has lower combined input + output rates ($0.28 in, $0.42 out) vs GPT-5.3 Codex.

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