Model Comparison

DeepSeek-V3 vs o1-previewWhich is better in 2026?

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

Verdict: DeepSeek-V3 vs o1-preview — which is better?

DeepSeek-V3 (by DeepSeek) and o1-preview (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 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.

On price, DeepSeek-V3 is roughly 55.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3 also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3 if…

  • cost matters — it's about 55.0x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose o1-preview if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks

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.

Sun Jun 28 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
Sun Jun 28 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
Sun Jun 28 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

1.5 years ago

3mo newer
o1-preview

Sep 12, 2024

1.8 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

Notice missing or incorrect data?Start an Issue discussion→

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

Interactive Arena

Judge for yourself.

Run your own prompts against DeepSeek-V3 and o1-preview side-by-side, then vote on the output you prefer.

DeepSeek-V3
✓ Preferred
o1-preview
Open in Playground
AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
OpenAI
o1-preview

FAQ

Common questions about DeepSeek-V3 vs o1-preview.

Which is better, DeepSeek-V3 or 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.

How does DeepSeek-V3 compare to o1-preview in benchmarks?

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%.

Is DeepSeek-V3 cheaper than o1-preview?

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.

What are the context window sizes for DeepSeek-V3 and o1-preview?

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.

What are the main differences between DeepSeek-V3 and o1-preview?

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.

Who makes DeepSeek-V3 and o1-preview?

DeepSeek-V3 is developed by DeepSeek and o1-preview is developed by OpenAI.

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