Model Comparison

DeepSeek-V3 vs o3

o3 significantly outperforms across most benchmarks. DeepSeek-V3 is 7.3x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

DeepSeek-V3 outperforms in 0 benchmarks, while o3 is better at 4 benchmarks (Aider-Polyglot, AIME 2024, GPQA, SWE-Bench Verified).

o3 significantly outperforms across most benchmarks.

Tue Apr 14 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 7.4x cheaper than o3 ($2.00/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 7.3x cheaper than o3 ($8.00/1M tokens).

In conclusion, o3 is more expensive than DeepSeek-V3.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
OpenAI
o3
Input tokens$2.00
Output tokens$8.00
Best providerOpenAI
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o3 accepts 200,000 input tokens compared to DeepSeek-V3's 131,072 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while o3 is limited to 100,000 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3 supports multimodal inputs, whereas DeepSeek-V3 does not.

o3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V3

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while o3 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

o3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while o3 was released on 2025-04-16.

o3 is 4 months newer than DeepSeek-V3.

DeepSeek-V3

Dec 25, 2024

1.3 years ago

o3

Apr 16, 2025

12 months ago

3mo newer

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek-V3's cutoff date is not specified.

We can confirm o3's training data extends to 2024-05-31, but cannot make a direct comparison without DeepSeek-V3's cutoff date.

DeepSeek-V3

—

o3

May 2024

Provider Availability

DeepSeek-V3 is available from DeepSeek. o3 is available from OpenAI.

DeepSeek-V3

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

o3

openai logo
OpenAI
Input Price:Input: $2.00/1MOutput Price:Output: $8.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
Higher Aider-Polyglot score (81.3% vs 49.6%)
Higher AIME 2024 score (91.6% vs 39.2%)
Higher GPQA score (83.3% vs 59.1%)
Higher SWE-Bench Verified score (69.1% vs 42.0%)
DeepSeekDeepSeek-V3
OpenAIo3
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
OpenAI
o3

FAQ

Common questions about DeepSeek-V3 vs o3

o3 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and o3 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%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.
DeepSeek-V3 is 7.4x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. o3 costs $2.00/M input and $8.00/M output via openai.
DeepSeek-V3 supports 131K tokens and o3 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 200K), input pricing ($0.27 vs $2.00/M), multimodal support (no vs yes), 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 o3 is developed by OpenAI.