Model Comparison

DeepSeek-V3 vs o1-preview

o1-preview significantly outperforms across most benchmarks. DeepSeek-V3 is 55.0x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

DeepSeek-V3 outperforms in 1 benchmarks (SWE-Bench Verified), while o1-preview is better at 4 benchmarks (AIME 2024, GPQA, MMLU, SimpleQA).

o1-preview significantly outperforms across most benchmarks.

Mon Mar 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

For input processing, DeepSeek-V3 ($0.27/1M tokens) is 55.6x cheaper than o1-preview ($15.00/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 54.5x cheaper than o1-preview ($60.00/1M tokens).

In conclusion, o1-preview is more expensive than DeepSeek-V3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Mar 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
OpenAI
o1-preview
Input tokens$15.00
Output tokens$60.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V3 accepts 131,072 input tokens compared to o1-preview's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while o1-preview is limited to 32,768 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
OpenAI
o1-preview
Input128,000 tokens
Output32,768 tokens
Mon Mar 30 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while o1-preview uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

o1-preview

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while o1-preview was released on 2024-09-12.

DeepSeek-V3 is 3 months newer than o1-preview.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

3mo newer
o1-preview

Sep 12, 2024

1.5 years ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

DeepSeek-V3 is available from DeepSeek. o1-preview is available from OpenAI, Azure.

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

o1-preview

openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
azure logo
Azure
Input Price:Input: $16.50/1MOutput Price:Output: $66.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SWE-Bench Verified score (42.0% vs 41.3%)
OpenAI
Higher AIME 2024 score (42.0% vs 39.2%)
Higher GPQA score (73.3% vs 59.1%)
Higher MMLU score (90.8% vs 88.5%)
Higher SimpleQA score (42.4% vs 24.9%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
OpenAI
o1-preview

FAQ

Common questions about DeepSeek-V3 vs o1-preview

o1-preview significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and o1-preview is made by OpenAI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. o1-preview scores MGSM: 90.8%, MMLU: 90.8%, MATH: 85.5%, GPQA: 73.3%, LiveBench: 52.3%.
DeepSeek-V3 is 55.6x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. o1-preview costs $15.00/M input and $60.00/M output via openai.
DeepSeek-V3 supports 131K tokens and o1-preview supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.27 vs $15.00/M), licensing (MIT + Model License (Commercial use allowed) vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-V3 is developed by DeepSeek and o1-preview is developed by OpenAI.