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DeepSeek R1 V3.2 vs o1

Compare DeepSeek and OpenAI AI models

DeepSeek
DeepSeek R1 V3.2
vs
OpenAI
o1

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

o1

Per Request:$0.045
Daily:$4.50
Monthly:$135.00
Yearly:$1,642.50

Cost Differences

+$0.04451
Per Request
+$4.451
Daily
+$133.53
Monthly
+$1,624.615
Yearly

o1 costs more than DeepSeek R1 V3.2

Feature Comparison

FeatureDeepSeek R1 V3.2o1
ProviderDeepSeekOpenAI
Input Price$0.28/1M tokens$15.00/1M tokens
Output Price$0.42/1M tokens$60.00/1M tokens
Context Window128,000 tokens200,000 tokens
Max Output65,536 tokens65,536 tokens
Categoryreasoningreasoning
Capabilities
textreasoningcode
textreasoning
Release Date1/20/20259/12/2024

DeepSeek R1 V3.2 vs o1: Which Should You Choose?

Choosing between DeepSeek R1 V3.2 and o1 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 tokens98% cheaper than o1. Meanwhile, o1 offers a significantly larger context window at 200,000 tokens vs 128,000 for DeepSeek R1 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.

Both models are in the reasoning category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: DeepSeek R1 V3.2 would save you roughly $13,353.00/month compared to o1. For startups and indie developers, that difference can be significant.

Output costs matter too. DeepSeek R1 V3.2 charges $0.42/1M output tokens vs $60.00 for o1. 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.

Best Use Cases

Choose DeepSeek R1 V3.2 when:

  • • Budget is a primary concern
  • • You need more capabilities (code)
  • • You're already using DeepSeek's API ecosystem

Choose o1 when:

  • • You need a larger context window (200,000 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 R1 V3.2 (DeepSeek)

o1 (OpenAI)

Start using DeepSeek R1 V3.2 today

Sign Up for DeepSeek

Start using o1 today

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Frequently Asked Questions

Which is cheaper, DeepSeek R1 V3.2 or o1?
DeepSeek R1 V3.2 is cheaper for input tokens at $0.28 per million tokens vs $15.00 for o1 — that's 98% savings on input costs.
What is the context window difference between DeepSeek R1 V3.2 and o1?
DeepSeek R1 V3.2 supports 128,000 tokens while o1 supports 200,000 tokens — a difference of 72,000 tokens in favor of o1.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, DeepSeek R1 V3.2 is the lower-cost option, while o1 offers a larger context window (200,000 vs 128,000 tokens). Choose DeepSeek R1 V3.2 for budget sensitivity or o1 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 o1 costs about $135.00/month. Overall, DeepSeek R1 V3.2 has lower combined input + output rates ($0.28 in, $0.42 out) vs o1.

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