Model Comparison

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

DeepSeek-V3 shows notably better performance in the majority of benchmarks. DeepSeek-V3 is 11.0x cheaper per token.

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

DeepSeek-V3 (by DeepSeek) and o1-mini (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 2 benchmarks (MATH-500, MMLU), while o1-mini is better at 1 benchmark (GPQA). DeepSeek-V3 shows notably better performance in the majority of benchmarks.

On price, DeepSeek-V3 is roughly 11.0x 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…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks
  • cost matters — it's about 11.0x 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-mini if…

  • you want predictable pricing at $3.00/M input and $12.00/M output
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

DeepSeek-V3 outperforms in 2 benchmarks (MATH-500, MMLU), while o1-mini is better at 1 benchmark (GPQA).

DeepSeek-V3 shows notably better performance in the majority of benchmarks.

Wed Jun 17 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 11.1x cheaper than o1-mini ($3.00/1M tokens).

For output processing, DeepSeek-V3 ($1.10/1M tokens) is 10.9x cheaper than o1-mini ($12.00/1M tokens).

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

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

Lowest available price from all providers
Wed Jun 17 2026 • llm-stats.com
DeepSeek
DeepSeek-V3
Input tokens$0.27
Output tokens$1.10
Best providerDeepSeek
OpenAI
o1-mini
Input tokens$3.00
Output tokens$12.00
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-mini's 128,000 tokens. DeepSeek-V3 can generate longer responses up to 131,072 tokens, while o1-mini is limited to 65,536 tokens.

DeepSeek
DeepSeek-V3
Input131,072 tokens
Output131,072 tokens
OpenAI
o1-mini
Input128,000 tokens
Output65,536 tokens
Wed Jun 17 2026 • llm-stats.com

License

Usage and distribution terms

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

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V3 was released on 2024-12-25, while o1-mini was released on 2024-09-12.

DeepSeek-V3 is 3 months newer than o1-mini.

DeepSeek-V3

Dec 25, 2024

1.5 years ago

3mo newer
o1-mini

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-mini is available from OpenAI, Azure.

DeepSeek-V3

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

o1-mini

openai logo
OpenAI
Input Price:Input: $3.00/1MOutput Price:Output: $12.00/1M
azure logo
Azure
Input Price:Input: $3.30/1MOutput Price:Output: $13.20/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

DeepSeek
Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher MATH-500 score (90.2% vs 90.0%)
Higher MMLU score (88.5% vs 85.2%)
OpenAI
Higher GPQA score (60.0% vs 59.1%)

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3
OpenAI
o1-mini

FAQ

Common questions about DeepSeek-V3 vs o1-mini.

Which is better, DeepSeek-V3 or o1-mini?

DeepSeek-V3 shows notably better performance in the majority of benchmarks. DeepSeek-V3 is made by DeepSeek and o1-mini 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-mini in benchmarks?

DeepSeek-V3 scores DROP: 91.6%, CLUEWSC: 90.9%, MATH-500: 90.2%, MMLU-Redux: 89.1%, MMLU: 88.5%. o1-mini scores HumanEval: 92.4%, MATH-500: 90.0%, MMLU: 85.2%, SuperGLUE: 75.0%, GPQA: 60.0%.

Is DeepSeek-V3 cheaper than o1-mini?

DeepSeek-V3 is 11.1x cheaper for input tokens. DeepSeek-V3 costs $0.27/M input and $1.10/M output via deepseek. o1-mini costs $3.00/M input and $12.00/M output via openai.

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

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

Key differences include context window (131K vs 128K), input pricing ($0.27 vs $3.00/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-mini?

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

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