Model Comparison
DeepSeek R1 Distill Qwen 32B vs GPT OSS 120BWhich is better in 2026?
GPT OSS 120B significantly outperforms across most benchmarks. DeepSeek R1 Distill Qwen 32B is 1.3x cheaper per token.
Verdict: DeepSeek R1 Distill Qwen 32B vs GPT OSS 120B — which is better?
DeepSeek R1 Distill Qwen 32B (by DeepSeek) and GPT OSS 120B (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 0 benchmarks, while GPT OSS 120B is better at 1 benchmark (GPQA). GPT OSS 120B significantly outperforms across most benchmarks.
On price, DeepSeek R1 Distill Qwen 32B is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT OSS 120B also accepts a larger context window (131,072 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 1.3x cheaper per token
Choose GPT OSS 120B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- you process long inputs — it offers a 131,072 token context window
- you want the most recent training data — it shipped Aug 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek R1 Distill Qwen 32B outperforms in 0 benchmarks, while GPT OSS 120B is better at 1 benchmark (GPQA).
GPT OSS 120B significantly outperforms across most 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 1.3x more expensive than GPT OSS 120B ($0.09/1M tokens).
For output processing, DeepSeek R1 Distill Qwen 32B ($0.18/1M tokens) is 2.5x cheaper than GPT OSS 120B ($0.45/1M tokens).
In conclusion, GPT OSS 120B is more expensive than DeepSeek R1 Distill Qwen 32B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
GPT OSS 120B has 84.0B more parameters than DeepSeek R1 Distill Qwen 32B, making it 256.1% larger.
Context Window
Maximum input and output token capacity
GPT OSS 120B accepts 131,072 input tokens compared to DeepSeek R1 Distill Qwen 32B's 128,000 tokens. GPT OSS 120B can generate longer responses up to 131,072 tokens, while DeepSeek R1 Distill Qwen 32B is limited to 128,000 tokens.
License
Usage and distribution terms
DeepSeek R1 Distill Qwen 32B is licensed under MIT, while GPT OSS 120B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek R1 Distill Qwen 32B was released on 2025-01-20, while GPT OSS 120B was released on 2025-08-05.
GPT OSS 120B is 7 months newer than DeepSeek R1 Distill Qwen 32B.
Jan 20, 2025
1.4 years ago
Aug 5, 2025
10 months ago
6mo newerKnowledge 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. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.
DeepSeek R1 Distill Qwen 32B
GPT OSS 120B
Outputs Comparison
Key Takeaways
GPT OSS 120B
View detailsOpenAI
Detailed Comparison
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FAQ
Common questions about DeepSeek R1 Distill Qwen 32B vs GPT OSS 120B.