DeepSeek-V3 vs o1

o1 leads the LLM Stats Score 20.9 to 15.7. DeepSeek-V3 is 61.8x cheaper per token.

DeepSeek · OpenAI · Updated for 2026

Which is better?

o1 leads the overall LLM Stats Score 20.9 to 15.7, ranking #190 overall.

In the 5 individual benchmarks reported for both models, o1 wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, DeepSeek-V3 is roughly 61.8x 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.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3

cost matters — it's about 61.8x 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

overall performance matters — it scores 20.9 and ranks #190 on LLM Stats
your work emphasizes reasoning — it leads those capability indexes
you value its reported benchmark strengths — it wins 4 of 5 exact shared results
you process long inputs — it offers a 200,000 token context window

At a glance

The differences that matter most.

Better token value: DeepSeek-V3

DeepSeek-V3

DeepSeek

OpenAI

Core performance indexes

LLM Stats Score

15.7

#227 · 19 evals

20.9

#190 · 16 evals

Best

Reasoning

14.8

#226 · 14 evals

21.3

#180 · 15 evals

Best

Coding

6.2

#191 · 4 evals

Best

4.6

#205 · 2 evals

Cost, coverage & limits

Benchmark wins

1 of 5

4 of 5

Best

Input price

$0.27 / M

Best

$15.00 / M

Output price

$0.89 / M

Best

$60.00 / M

Context window

131,072

200,000

Best

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

DeepSeek-V3

Math

18.0#188 · 7 evals

24.0#121 · 9 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V3 · 19 for o1

5 shared

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.

Sat Sep 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

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 ($0.89/1M tokens) is 67.4x 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

Sat Sep 12 2026 • llm-stats.com

DeepSeek-V3

Input tokens$0.27

Output tokens$0.89

Best providerDeepSeek

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-V3

Input131,072 tokens

Output131,072 tokens

Input200,000 tokens

Output100,000 tokens

Sat Sep 12 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

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

1.7 years ago

1w newer

Dec 17, 2024

1.7 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, DeepInfra. o1 is available from Azure, OpenAI.

DeepSeek-V3

DeepSeek

Input Price:Input: $0.27/1MOutput Price:Output: $1.10/1M

Deepinfra

Input Price:Input: $0.32/1MOutput Price:Output: $0.89/1M

o1

Azure

Input Price:Input: $15.00/1MOutput Price:Output: $60.00/1M

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→

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

Open in Playground

FAQ

Common questions about DeepSeek-V3 vs o1.

Which is better, DeepSeek-V3 or o1?

o1 leads the LLM Stats Score 20.9 to 15.7. DeepSeek-V3 is made by DeepSeek and o1 is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits 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 $0.89/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 LLM Stats Score (15.7 vs 20.9), 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.

DeepSeek-V3 vs o1