Model Comparison

o3-mini vs DeepSeek-V3.2 (Thinking)

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. DeepSeek-V3.2 (Thinking) is 6.1x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o3-mini outperforms in 0 benchmarks, while DeepSeek-V3.2 (Thinking) is better at 2 benchmarks (GPQA, SWE-Bench Verified).

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks.

Wed May 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2 (Thinking) costs less

For input processing, o3-mini ($1.10/1M tokens) is 3.9x more expensive than DeepSeek-V3.2 (Thinking) ($0.28/1M tokens).

For output processing, o3-mini ($4.40/1M tokens) is 10.5x more expensive than DeepSeek-V3.2 (Thinking) ($0.42/1M tokens).

In conclusion, o3-mini is more expensive than DeepSeek-V3.2 (Thinking).*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed May 20 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
DeepSeek
DeepSeek-V3.2 (Thinking)
Input tokens$0.28
Output tokens$0.42
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3-mini accepts 200,000 input tokens compared to DeepSeek-V3.2 (Thinking)'s 131,072 tokens. o3-mini can generate longer responses up to 100,000 tokens, while DeepSeek-V3.2 (Thinking) is limited to 65,536 tokens.

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
DeepSeek
DeepSeek-V3.2 (Thinking)
Input131,072 tokens
Output65,536 tokens
Wed May 20 2026 • llm-stats.com

License

Usage and distribution terms

o3-mini is licensed under a proprietary license, while DeepSeek-V3.2 (Thinking) uses MIT.

License differences may affect how you can use these models in commercial or open-source projects.

o3-mini

Proprietary

Closed source

DeepSeek-V3.2 (Thinking)

MIT

Open weights

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while DeepSeek-V3.2 (Thinking) was released on 2025-12-01.

DeepSeek-V3.2 (Thinking) is 10 months newer than o3-mini.

o3-mini

Jan 30, 2025

1.3 years ago

DeepSeek-V3.2 (Thinking)

Dec 1, 2025

5 months ago

10mo newer

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while DeepSeek-V3.2 (Thinking)'s cutoff date is not specified.

We can confirm o3-mini's training data extends to 2023-09-30, but cannot make a direct comparison without DeepSeek-V3.2 (Thinking)'s cutoff date.

o3-mini

Sep 2023

DeepSeek-V3.2 (Thinking)

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Provider Availability

o3-mini is available from Azure, OpenAI. DeepSeek-V3.2 (Thinking) is available from DeepSeek.

o3-mini

azure logo
Azure
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M
openai logo
OpenAI
Input Price:Input: $1.10/1MOutput Price:Output: $4.40/1M

DeepSeek-V3.2 (Thinking)

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (200,000 tokens)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher GPQA score (82.4% vs 77.2%)
Higher SWE-Bench Verified score (73.1% vs 49.3%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-mini
DeepSeek
DeepSeek-V3.2 (Thinking)

FAQ

Common questions about o3-mini vs DeepSeek-V3.2 (Thinking).

Which is better, o3-mini or DeepSeek-V3.2 (Thinking)?

DeepSeek-V3.2 (Thinking) significantly outperforms across most benchmarks. o3-mini is made by OpenAI and DeepSeek-V3.2 (Thinking) is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does o3-mini compare to DeepSeek-V3.2 (Thinking) in benchmarks?

o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%. DeepSeek-V3.2 (Thinking) scores AIME 2025: 93.1%, HMMT 2025: 90.2%, MMLU-Pro: 85.0%, LiveCodeBench: 83.3%, GPQA: 82.4%.

Is o3-mini cheaper than DeepSeek-V3.2 (Thinking)?

DeepSeek-V3.2 (Thinking) is 3.9x cheaper for input tokens. o3-mini costs $1.10/M input and $4.40/M output via azure. DeepSeek-V3.2 (Thinking) costs $0.28/M input and $0.42/M output via deepseek.

What are the context window sizes for o3-mini and DeepSeek-V3.2 (Thinking)?

o3-mini supports 200K tokens and DeepSeek-V3.2 (Thinking) supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between o3-mini and DeepSeek-V3.2 (Thinking)?

Key differences include context window (200K vs 131K), input pricing ($1.10 vs $0.28/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes o3-mini and DeepSeek-V3.2 (Thinking)?

o3-mini is developed by OpenAI and DeepSeek-V3.2 (Thinking) is developed by DeepSeek.