Model Comparison
DeepSeek R1 Distill Qwen 32B vs o1Which is better in 2026?
Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 32B is 194.4x cheaper per token.
Verdict: DeepSeek R1 Distill Qwen 32B vs o1 — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and o1 (by OpenAI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (AIME 2024), while o1 is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.
On price, DeepSeek R1 Distill Qwen 32B is roughly 194.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
o1 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek R1 Distill Qwen 32B if…
- cost matters — it's about 194.4x cheaper per token
- you want the most recent training data — it shipped Jan 2025
- you need open weights you can self-host or fine-tune
Choose o1 if…
- you process long inputs — it offers a 200,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (AIME 2024), while o1 is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek R1 Distill Qwen 32B ($0.12/1M tokens) is 125.0x cheaper than o1 ($15.00/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 333.3x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
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.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while o1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while o1 was released on 2024-12-17.
DeepSeek R1 Distill Qwen 32B is 1 month newer than o1.
Jan 20, 2025
1.4 years ago
1mo newerDec 17, 2024
1.5 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek R1 Distill Qwen 32B is available from DeepInfra. o1 is available from Azure, OpenAI.
DeepSeek R1 Distill Qwen 32B
o1
Outputs Comparison
Key Takeaways
o1
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs o1.