Model Comparison

DeepSeek-V3.2-Speciale vs o3

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale is 11.1x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3.2-Speciale outperforms in 3 benchmarks (AIME 2025, Humanity's Last Exam, SWE-Bench Verified), while o3 is better at 0 benchmarks.

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks.

Sat May 30 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.2-Speciale costs less

For input processing, DeepSeek-V3.2-Speciale ($0.28/1M tokens) is 7.1x cheaper than o3 ($2.00/1M tokens).

For output processing, DeepSeek-V3.2-Speciale ($0.42/1M tokens) is 19.0x cheaper than o3 ($8.00/1M tokens).

In conclusion, o3 is more expensive than DeepSeek-V3.2-Speciale.*

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

Lowest available price from all providers
Sat May 30 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.2-Speciale
Input tokens$0.28
Output tokens$0.42
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-V3.2-Speciale's 131,072 tokens. DeepSeek-V3.2-Speciale can generate longer responses up to 131,072 tokens, while o3 is limited to 100,000 tokens.

DeepSeek
DeepSeek-V3.2-Speciale
Input131,072 tokens
Output131,072 tokens
OpenAI
o3
Input200,000 tokens
Output100,000 tokens
Sat May 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

o3 supports multimodal inputs, whereas DeepSeek-V3.2-Speciale does not.

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

DeepSeek-V3.2-Speciale

Text
Images
Audio
Video

o3

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V3.2-Speciale is licensed under MIT, while o3 uses a proprietary license.

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

DeepSeek-V3.2-Speciale

MIT

Open weights

o3

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3.2-Speciale was released on 2025-12-01, while o3 was released on 2025-04-16.

DeepSeek-V3.2-Speciale is 8 months newer than o3.

DeepSeek-V3.2-Speciale

Dec 1, 2025

6 months ago

7mo newer
o3

Apr 16, 2025

1.1 years ago

Knowledge Cutoff

When training data ends

o3 has a documented knowledge cutoff of 2024-05-31, while DeepSeek-V3.2-Speciale'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-V3.2-Speciale's cutoff date.

DeepSeek-V3.2-Speciale

—

o3

May 2024

Provider Availability

DeepSeek-V3.2-Speciale is available from DeepSeek. o3 is available from OpenAI.

DeepSeek-V3.2-Speciale

deepseek logo
DeepSeek
Input Price:Input: $0.28/1MOutput Price:Output: $0.42/1M

o3

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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher AIME 2025 score (96.0% vs 86.4%)
Higher Humanity's Last Exam score (30.6% vs 14.7%)
Higher SWE-Bench Verified score (73.1% vs 69.1%)
OpenAI
Larger context window (200,000 tokens)
Supports multimodal inputs
DeepSeekDeepSeek-V3.2-Speciale
OpenAIo3
Compare in Playground

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.2-Speciale
OpenAI
o3

FAQ

Common questions about DeepSeek-V3.2-Speciale vs o3.

Which is better, DeepSeek-V3.2-Speciale or o3?

DeepSeek-V3.2-Speciale significantly outperforms across most benchmarks. DeepSeek-V3.2-Speciale 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.

How does DeepSeek-V3.2-Speciale compare to o3 in benchmarks?

DeepSeek-V3.2-Speciale scores HMMT 2025: 99.2%, AIME 2025: 96.0%, CodeForces: 90.0%, t2-bench: 80.3%, SWE-Bench Verified: 73.1%. o3 scores COLLIE: 98.4%, AIME 2024: 91.6%, ARC-AGI: 88.0%, MathVista: 86.8%, AIME 2025: 86.4%.

Is DeepSeek-V3.2-Speciale cheaper than o3?

DeepSeek-V3.2-Speciale is 7.1x cheaper for input tokens. DeepSeek-V3.2-Speciale costs $0.28/M input and $0.42/M output via deepseek. o3 costs $2.00/M input and $8.00/M output via openai.

What are the context window sizes for DeepSeek-V3.2-Speciale and o3?

DeepSeek-V3.2-Speciale supports 131K tokens and o3 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3.2-Speciale and o3?

Key differences include context window (131K vs 200K), input pricing ($0.28 vs $2.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.2-Speciale and o3?

DeepSeek-V3.2-Speciale is developed by DeepSeek and o3 is developed by OpenAI.