Model Comparison
DeepSeek-V3 0324 vs GPT OSS 120BWhich is better in 2026?
GPT OSS 120B significantly outperforms across most benchmarks. GPT OSS 120B is 2.8x cheaper per token.
Verdict: DeepSeek-V3 0324 vs GPT OSS 120B — which is better?
DeepSeek-V3 0324 (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-V3 0324 outperforms in 0 benchmarks, while GPT OSS 120B is better at 1 benchmark (GPQA). GPT OSS 120B significantly outperforms across most benchmarks.
On price, GPT OSS 120B is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V3 0324 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.
Choose DeepSeek-V3 0324 if…
- you process long inputs — it offers a 163,840 token context window
Choose GPT OSS 120B if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 2.8x cheaper per token
- you want the most recent training data — it shipped Aug 2025
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 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-V3 0324 ($0.28/1M tokens) is 3.1x more expensive than GPT OSS 120B ($0.09/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 2.5x more expensive than GPT OSS 120B ($0.45/1M tokens).
In conclusion, DeepSeek-V3 0324 is more expensive than GPT OSS 120B.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V3 0324 has 554.2B more parameters than GPT OSS 120B, making it 474.5% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V3 0324 accepts 163,840 input tokens compared to GPT OSS 120B's 131,072 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while GPT OSS 120B is limited to 131,072 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), 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 + Model License (Commercial use allowed)
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while GPT OSS 120B was released on 2025-08-05.
GPT OSS 120B is 4 months newer than DeepSeek-V3 0324.
Mar 25, 2025
1.3 years ago
Aug 5, 2025
11 months ago
4mo 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-V3 0324 is available from Novita. GPT OSS 120B is available from DeepInfra, Novita, OpenAI, Fireworks, Groq.
DeepSeek-V3 0324
GPT OSS 120B
Outputs Comparison
Key Takeaways
DeepSeek-V3 0324
View detailsDeepSeek
GPT OSS 120B
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and GPT OSS 120B side-by-side, then vote on the output you prefer.
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FAQ
Common questions about DeepSeek-V3 0324 vs GPT OSS 120B.