DeepSeek-V3 0324 vs o1
o1 significantly outperforms across most benchmarks. DeepSeek-V3 0324 is 53.0x cheaper per token.
DeepSeek · OpenAI · Updated for 2026
Which is better?
DeepSeek-V3 0324 outperforms in 0 benchmarks, while o1 is better at 2 benchmarks (AIME 2024, GPQA). o1 significantly outperforms across most benchmarks.
On price, DeepSeek-V3 0324 is roughly 53.0x 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 benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V3 0324
- cost matters — it's about 53.0x cheaper per token
- you want the most recent training data — it shipped Mar 2025
- you need open weights you can self-host or fine-tune
Choose o1
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 200,000 token context window
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V3 0324 outperforms in 0 benchmarks, while o1 is better at 2 benchmarks (AIME 2024, GPQA).
o1 significantly outperforms across most benchmarks.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V3 0324 ($0.28/1M tokens) is 53.6x cheaper than o1 ($15.00/1M tokens).
For output processing, DeepSeek-V3 0324 ($1.14/1M tokens) is 52.6x cheaper than o1 ($60.00/1M tokens).
In conclusion, o1 is more expensive than DeepSeek-V3 0324.*
* 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-V3 0324's 163,840 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while o1 is limited to 100,000 tokens.
License
Usage and distribution terms
DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while o1 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT + Model License (Commercial use allowed)
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
DeepSeek-V3 0324 was released on 2025-03-25, while o1 was released on 2024-12-17.
DeepSeek-V3 0324 is 3 months newer than o1.
Mar 25, 2025
1.4 years ago
3mo 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-V3 0324 is available from Novita. o1 is available from Azure, OpenAI.
DeepSeek-V3 0324
o1
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V3 0324 and o1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V3 0324 vs o1.