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DeepSeek V3.2 (Reasoner) vs o4-mini

Pricing, context window, and benchmark comparison · Last updated April 2026

Quick Verdict

DeepSeek V3.2 (Reasoner) is cheaper than o4-mini at $0.28/1M/1M vs $1.10/1M/1M input tokens — a 3.9x cost difference. DeepSeek V3.2 (Reasoner) scores higher on quality benchmarks (ELO 1385). Choose DeepSeek V3.2 (Reasoner) for cost-sensitive workloads; both are strong choices depending on your budget.

Detailed Comparison

MetricDeepSeek V3.2 (Reasoner)o4-mini
Input Price / 1M tokens$0.28/1MCheaper$1.10/1M
Output Price / 1M tokens$0.42/1MCheaper$4.40/1M
Context Window128K200KLarger
ELO Score (LMSYS)1385Smarter1350
Open SourceYes
Free Tier
Release Date2025-122025-04

Which is cheaper: DeepSeek V3.2 (Reasoner) or o4-mini?

DeepSeek V3.2 (Reasoner) is the cheaper option at $0.28/1M per 1M input tokens, compared to $1.10/1M for o4-mini. That is a 3.9x cost difference on input tokens. Output pricing follows a similar pattern: DeepSeek V3.2 (Reasoner) charges $0.42/1M/1M vs $4.40/1M/1M for o4-mini.

Which has better quality: DeepSeek V3.2 (Reasoner) or o4-mini?

Based on LMSYS Chatbot Arena rankings, DeepSeek V3.2 (Reasoner) achieves a higher ELO score (1385 vs 1350), suggesting stronger performance on open-ended tasks. DeepSeek V3.2 (Reasoner) excels at o-series-class reasoning at a fraction of the price. o4-mini is known for cheapest reasoning model in the openai lineup.

Which should you choose: DeepSeek V3.2 (Reasoner) or o4-mini?

Choose DeepSeek V3.2 (Reasoner) if:
  • o-series-class reasoning at a fraction of the price
  • Up to 64K output tokens for long chain-of-thought
  • Open weights
Choose o4-mini if:
  • Cheapest reasoning model in the OpenAI lineup
  • Strong performance on code and math for the price
  • 200K context window

Frequently Asked Questions

Which is cheaper: DeepSeek V3.2 (Reasoner) or o4-mini?

DeepSeek V3.2 (Reasoner) is cheaper at $0.28/1M per 1M input tokens, making it 3.9x more affordable.

Which has better quality: DeepSeek V3.2 (Reasoner) or o4-mini?

DeepSeek V3.2 (Reasoner) scores higher on the LMSYS Chatbot Arena with an ELO of 1385, suggesting better overall quality for most tasks.

Which has a larger context window: DeepSeek V3.2 (Reasoner) or o4-mini?

o4-mini has a larger context window at 200K tokens.

Should I choose DeepSeek V3.2 (Reasoner) or o4-mini?

Choose DeepSeek V3.2 (Reasoner) if cost is the priority. Choose DeepSeek V3.2 (Reasoner) if benchmark quality is most important. Consider your specific use case: DeepSeek V3.2 (Reasoner) is best for reasoning and math, while o4-mini excels at reasoning and coding.

Is DeepSeek V3.2 (Reasoner) or o4-mini open source?

DeepSeek V3.2 (Reasoner) is open source. o4-mini is proprietary.

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