Model Comparison

o1 vs DeepSeek R1 Distill Qwen 32B

Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 32B is 194.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

o1 outperforms in 1 benchmarks (GPQA), while DeepSeek R1 Distill Qwen 32B is better at 1 benchmark (AIME 2024).

Both models are evenly matched across the benchmarks.

Tue Apr 21 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, o1 ($15.00/1M tokens) is 125.0x more expensive than DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens).

For output processing, o1 ($60.00/1M tokens) is 333.3x more expensive than DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens).

In conclusion, o1 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
Tue Apr 21 2026 • llm-stats.com
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
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

o1 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 o1 is limited to 100,000 tokens.

OpenAI
o1
Input200,000 tokens
Output100,000 tokens
DeepSeek
DeepSeek R1 Distill Qwen 32B
Input128,000 tokens
Output128,000 tokens
Tue Apr 21 2026 • llm-stats.com

License

Usage and distribution terms

o1 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.

o1

Proprietary

Closed source

DeepSeek R1 Distill Qwen 32B

MIT

Open weights

Release Timeline

When each model was launched

o1 was released on 2024-12-17, while DeepSeek R1 Distill Qwen 32B was released on 2025-01-20.

DeepSeek R1 Distill Qwen 32B is 1 month newer than o1.

o1

Dec 17, 2024

1.3 years ago

DeepSeek R1 Distill Qwen 32B

Jan 20, 2025

1.2 years ago

1mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

o1 is available from Azure, OpenAI. DeepSeek R1 Distill Qwen 32B is available from DeepInfra.

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M

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 GPQA score (78.0% vs 62.1%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2024 score (83.3% vs 74.3%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1
DeepSeek
DeepSeek R1 Distill Qwen 32B

FAQ

Common questions about o1 vs DeepSeek R1 Distill Qwen 32B

Both models are evenly matched across the benchmarks. o1 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.
o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%. 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 125.0x cheaper for input tokens. o1 costs $15.00/M input and $60.00/M output via azure. DeepSeek R1 Distill Qwen 32B costs $0.12/M input and $0.18/M output via deepinfra.
o1 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 ($15.00 vs $0.12/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.
o1 is developed by OpenAI and DeepSeek R1 Distill Qwen 32B is developed by DeepSeek.