Model Comparison

o1 vs DeepSeek-V3

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

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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

o1 significantly outperforms across most benchmarks.

Tue May 12 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3 costs less

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

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

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

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

Lowest available price from all providers
Tue May 12 2026 • llm-stats.com
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

o1 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 o1 is limited to 100,000 tokens.

OpenAI
o1
Input200,000 tokens
Output100,000 tokens
DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
Tue May 12 2026 • llm-stats.com

License

Usage and distribution terms

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

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

o1

Proprietary

Closed source

DeepSeek-V3

MIT + Model License (Commercial use allowed)

Open weights

Release Timeline

When each model was launched

o1 was released on 2024-12-17, while DeepSeek-V3 was released on 2024-12-25.

DeepSeek-V3 is 0 month newer than o1.

o1

Dec 17, 2024

1.4 years ago

DeepSeek-V3

Dec 25, 2024

1.4 years ago

1w newer

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

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

o1

azure logo
Azure
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M
openai logo
OpenAI
Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M

DeepSeek-V3

deepseek logo
DeepSeek
Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (200,000 tokens)
Higher AIME 2024 score (74.3% vs 39.2%)
Higher GPQA score (78.0% vs 59.1%)
Higher MMLU score (91.8% vs 88.5%)
Higher SimpleQA score (47.0% vs 24.9%)
DeepSeek
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SWE-Bench Verified score (42.0% vs 41.0%)

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
o1
DeepSeek
DeepSeek-V3

FAQ

Common questions about o1 vs DeepSeek-V3.

Which is better, o1 or DeepSeek-V3?

o1 significantly outperforms across most benchmarks. o1 is made by OpenAI and DeepSeek-V3 is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does o1 compare to DeepSeek-V3 in benchmarks?

o1 scores GSM8k: 97.1%, MATH: 96.4%, GPQA Physics: 92.8%, MMLU: 91.8%, MGSM: 89.3%. DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%.

Is o1 cheaper than DeepSeek-V3?

DeepSeek-V3 is 55.6x cheaper for input tokens. o1 costs $15.00/M input and $60.00/M output via azure. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek.

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

o1 supports 200K tokens and DeepSeek-V3 supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

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

Key differences include context window (200K vs 131K), input pricing ($15.00 vs $0.27/M), licensing (Proprietary vs MIT + Model License (Commercial use allowed)). See the full comparison above for benchmark-by-benchmark results.

Who makes o1 and DeepSeek-V3?

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