DeepSeek R1 Distill Qwen 32B vs o1
DeepSeek R1 Distill Qwen 32B and o1 are closely matched at 13.1 and 20.9 on the LLM Stats Score. DeepSeek R1 Distill Qwen 32B is 194.4x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek R1 Distill Qwen 32B and o1 are closely matched on the overall LLM Stats Score at 13.1 and 20.9.
The models split the 2 individual benchmarks reported for both models evenly.
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.
Based on current LLM Stats indexes, shared benchmarks, 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
- you process long inputs — it offers a 200,000 token context window
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
4 reported for DeepSeek R1 Distill Qwen 32B · 19 for o1
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.
Human preference
Blind head-to-head votes and playground 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 ($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
1.7 years ago
1mo newerDec 17, 2024
1.7 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
Judge for yourself.
Run your own prompts against DeepSeek R1 Distill Qwen 32B and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs o1.