Model Comparison

o3-mini vs DeepSeek R1 Distill Qwen 32B

o3-mini significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 14.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o3-mini outperforms in 2 benchmarks (AIME 2024, GPQA), while DeepSeek R1 Distill Qwen 32B is better at 0 benchmarks.

o3-mini significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek R1 Distill Qwen 32B costs less

For input processing, o3-mini ($1.10/1M tokens) is 9.2x more expensive than DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens).

For output processing, o3-mini ($4.40/1M tokens) is 24.4x more expensive than DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens).

In conclusion, o3-mini is more expensive than DeepSeek R1 Distill Qwen 32B.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
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 R1 Distill Qwen 32B's 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while o3-mini is limited to 100,000 tokens.

OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

o3-mini is licensed under a proprietary license, while DeepSeek R1 Distill Qwen 32B uses MIT.

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

o3-mini

Proprietary

Closed source

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Release Timeline

When each model was launched

o3-mini was released on 2025-01-30, while DeepSeek R1 Distill Qwen 32B was released on 2025-01-20.

o3-mini is 0 month newer than DeepSeek R1 Distill Qwen 32B.

o3-mini

Jan 30, 2025

1.2 years ago

1w newer
DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

o3-mini has a documented knowledge cutoff of 2023-09-30, while DeepSeek R1 Distill Qwen 32B'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 R1 Distill Qwen 32B's cutoff date.

o3-mini

Sep 2023

DeepSeek R1 Distill Qwen 32B

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Provider Availability

o3-mini is available from Azure, OpenAI. DeepSeek R1 Distill Qwen 32B is available from DeepInfra.

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 R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Higher AIME 2024 score (87.3% vs 83.3%)
Higher GPQA score (77.2% vs 62.1%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o3-mini
DeepSeek
DeepSeek R1 Distill Qwen 32B

FAQ

Common questions about o3-mini vs DeepSeek R1 Distill Qwen 32B

o3-mini significantly outperforms across most benchmarks. o3-mini is made by OpenAI and DeepSeek R1 Distill Qwen 32B is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
o3-mini scores COLLIE: 98.7%, MATH: 97.9%, IFEval: 93.9%, MGSM: 92.0%, AIME 2024: 87.3%. DeepSeek R1 Distill Qwen 32B scores MATH-500: 94.3%, AIME 2024: 83.3%, GPQA: 62.1%, LiveCodeBench: 57.2%.
DeepSeek R1 Distill Qwen 32B is 9.2x cheaper for input tokens. o3-mini costs $1.10/M input and $4.40/M output via azure. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra.
o3-mini supports 200K tokens and DeepSeek R1 Distill Qwen 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 128K), input pricing ($1.10 vs $0.12/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
o3-mini is developed by OpenAI and DeepSeek R1 Distill Qwen 32B is developed by DeepSeek.