Model Comparison

DeepSeek R1 Distill Qwen 32B vs o3-mini

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

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

o3-mini significantly outperforms across most benchmarks.

Sun Apr 12 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, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 9.2x cheaper than o3-mini ($1.10/1M tokens).

For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 24.4x cheaper than o3-mini ($4.40/1M 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
Sun Apr 12 2026 • llm-stats.com
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input tokens$0.12
Output tokens$0.18
Best providerDeepinfra
OpenAI
o3-mini
Input tokens$1.10
Output tokens$4.40
Best providerAzure
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.

DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
OpenAI
o3-mini
Input200,000 tokens
Output100,000 tokens
Sun Apr 12 2026 • llm-stats.com

License

Usage and distribution terms

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

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

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

o3-mini

Proprietary

Closed source

Release Timeline

When each model was launched

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

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

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

o3-mini

Jan 30, 2025

1.2 years ago

1w newer

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.

DeepSeek R1 Distill Qwen 32B

—

o3-mini

Sep 2023

Provider Availability

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

DeepSeek R1 Distill Qwen 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.12/1MOutput Price:Output: $0.18/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

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

Detailed Comparison

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

FAQ

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

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