Model Comparison

DeepSeek-V3 vs o1Which is better in 2026?

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

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

DeepSeek-V3 (by DeepSeek) and o1 (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 is better at 4 benchmarks (AIME 2024, GPQA, MMLU, SimpleQA). o1 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.

o1 also accepts a larger context window (200,000 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 want the most recent training data — it shipped Dec 2024
  • you need open weights you can self-host or fine-tune

Choose o1 if…

  • you want the strongest raw capability — it leads on 4 of 5 shared benchmarks
  • you process long inputs — it offers a 200,000 token context window

Performance Benchmarks

Comparative analysis across standard metrics

5 benchmarks

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

o1 significantly outperforms across most benchmarks.

Tue Jul 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 ($15.00/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 54.5x cheaper than o1 ($60.00/1M 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 Jul 28 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
OpenAI
o1
Input tokens$15.00
Output tokens$60.00
Best providerAzure
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.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
OpenAI
o1
Input200,000 tokens
Output100,000 tokens
Tue Jul 28 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 is licensed under MIT + Model License (Commercial use allowed), while o1 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

Proprietary

Closed source

Release Timeline

When each model was launched

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

DeepSeek-V3 is 0 month newer than o1.

DeepSeek-V3

Dec 25, 2024

1.6 years ago

1w newer
o1

Dec 17, 2024

1.6 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 is available from Azure, OpenAI.

DeepSeek-V3

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

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
* 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 SWE-Bench Verified score (42.0% vs 41.0%)
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%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

Common questions about DeepSeek-V3 vs o1.

Which is better, DeepSeek-V3 or o1?

o1 significantly outperforms across most benchmarks. DeepSeek-V3 is made by DeepSeek and o1 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 in benchmarks?

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

Is DeepSeek-V3 cheaper than o1?

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

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

DeepSeek-V3 supports 131K tokens and o1 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 and o1?

Key differences include context window (131K vs 200K), 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?

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

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