DeepSeek R1 Distill Qwen 32B vs o1-preview
Both models are evenly matched across the benchmarks. DeepSeek R1 Distill Qwen 32B is 194.4x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (AIME 2024), while o1-preview 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.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek R1 Distill Qwen 32B
- 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-preview
- you want predictable pricing at $15.00/M input and $60.00/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 1 benchmarks (AIME 2024), while o1-preview is better at 1 benchmark (GPQA).
Both models are evenly matched across the benchmarks.
Arena Performance
Playground indexes and blind preference scores
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-preview ($15.00/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 333.3x cheaper than o1-preview ($60.00/1M tokens).
In conclusion, o1-preview 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
Both models have the same input context window of 128,000 tokens. DeepSeek R1 Distill Qwen 32B can generate longer responses up to 128,000 tokens, while o1-preview is limited to 32,768 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while o1-preview 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-preview was released on 2024-09-12.
DeepSeek R1 Distill Qwen 32B is 4 months newer than o1-preview.
Jan 20, 2025
1.6 years ago
4mo newerSep 12, 2024
2.0 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-preview is available from OpenAI, Azure.
DeepSeek R1 Distill Qwen 32B
o1-preview
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and o1-preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs o1-preview.