Compare → DeepSeek R1 vs o1

DeepSeek R1 vs OpenAI o1 (2026)

The two most powerful reasoning AI models, head to head. One costs 27x less and is fully open-source. Here's how they actually compare on math, coding, and real-world tasks.

R1 wins

Ties

o1 wins

The bottom line

Choose DeepSeek R1 if cost matters — and for most teams it does. You get equal or better math performance, full transparency into the reasoning process, open weights for self-hosting, and a 27x lower API bill. The tradeoffs are real but narrow: no image input, smaller context, less reliable infrastructure.

Choose o1 if you need image-based reasoning, the full 200K context window, enterprise-grade SLAs, or PhD-level science performance. The premium is justified for production workloads where reliability isn't negotiable.

Try DeepSeek R1 Try o1

Category Breakdown

Math benchmarksDeepSeek R1 wins

DeepSeek R1 scores 97.3% on MATH vs o1's 96.4% — a narrow but real edge. Both crush every non-reasoning model, but R1 takes the top spot on pure mathematical problem-solving.

CodingTie

R1 scores 92.3% on HumanEval vs o1's 92.4% — essentially identical. Both are exceptional for complex algorithmic problems. For most coding tasks you won't notice a difference.

PricingDeepSeek R1 wins

DeepSeek R1: $0.55/1M input, $2.19/1M output. OpenAI o1: $15/1M input, $60/1M output. R1 is 27x cheaper on input tokens. This is the single most important difference for anyone building on these models.

Open sourceDeepSeek R1 wins

DeepSeek R1 is MIT-licensed — you can download the weights, self-host, and fine-tune. OpenAI's o1 is fully closed. For privacy-sensitive workloads or teams wanting full control, R1 is the only option.

Reasoning transparencyDeepSeek R1 wins

R1 exposes its chain-of-thought by default — you can read every step of its reasoning. o1 hides its thinking process. For debugging, auditing, or learning from the model's logic, R1 is far more transparent.

Speedo1 wins

OpenAI's infrastructure is faster and more consistent. R1 via DeepSeek's API can be slower, especially on large reasoning chains. Third-party providers (Groq, Together) help, but o1 via OpenAI API is more reliable for latency-sensitive apps.

Multimodal (image input)o1 wins

o1 accepts image inputs for visual reasoning tasks. DeepSeek R1 is text-only. If your reasoning tasks involve diagrams, charts, or visual data, o1 is the only option.

Context windowo1 wins

o1 has a 200K token context window vs R1's 128K. For very long documents or extended reasoning chains, o1 handles more at once.

API reliability & SLAso1 wins

OpenAI offers enterprise SLAs, uptime guarantees, and a mature API platform. DeepSeek's API is newer with less infrastructure redundancy. For production workloads with reliability requirements, o1 is safer.

Science & GPQAo1 wins

o1 scores 78.3% on GPQA (graduate-level science questions) vs R1's 71.5%. For PhD-level scientific reasoning, o1 maintains a meaningful edge — particularly relevant for research applications.

Specs at a Glance

	DeepSeek R1	OpenAI o1
Provider	DeepSeek (China)	OpenAI (USA)
Open source	Yes — MIT license	No — closed source
Context window	128K tokens	200K tokens
API input price	$0.55 / 1M	$15.00 / 1M
API output price	$2.19 / 1M	$60.00 / 1M
MATH benchmark	97.3%	96.4%
HumanEval (coding)	92.3%	92.4%
GPQA (science)	71.5%	78.3%
MMLU	90.8%	92.3%
Multimodal (image)	No	Yes
Visible chain-of-thought	Yes	No
Self-hostable	Yes	No

When to Use Each

Use DeepSeek R1 when you need:

Low-cost reasoning at scale
Transparent chain-of-thought
Self-hosted / on-premise deployment
MIT-licensed fine-tuning
Top math & coding performance

Use o1 when you need:

Image + visual reasoning
Full 200K context window
Enterprise SLAs and uptime
Graduate-level science reasoning
US data jurisdiction

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