AI Models · Compare
OpenAI o1 vs DeepSeek R1
Which AI model is better in 2026? Compare OpenAI o1 and DeepSeek R1 on benchmarks, pricing, speed, context window, and real-world fit.
Quick summary
OpenAI o1 is currently the stronger overall pick for reasoning, coding, math, and context. DeepSeek R1 wins on speed, price, and open source. DeepSeek R1 remains the budget pick at $0.96 vs $26.25 blended / 1M tokens.
Overall winner
OpenAI o1
OpenAI o1 wins
- Reasoning
- Coding
- Math
- Context
DeepSeek R1 wins
- Speed
- Price
- Open source
Want to compare different models?
Pick any two modelsOpenAI o1 vs DeepSeek R1: overview
OpenAI o1 (OpenAI) and DeepSeek R1 (DeepSeek) are frequently compared by teams choosing an AI stack in 2026. OpenAI o1: Long chain-of-thought reasoning — unbeatable on hard math and code. DeepSeek R1: Open-weights reasoning model that matches o1 at 1/25 the price. This OpenAI o1 vs DeepSeek R1 comparison covers benchmarks, pricing, context window, speed, modalities, strengths, weaknesses, and who should pick which model.
OpenAI o1 is proprietary with a 200k-token context window and a blended API price near $26.25 / 1M tokens (intelligence index 76/100). DeepSeek R1 is open-weights with 128k context at about $0.96 blended / 1M (intelligence 73/100). Those gaps drive most “OpenAI o1 vs DeepSeek R1” searches — quality versus cost, closed versus open, cloud versus self-host.
Where they differ most: OpenAI o1 tends to lead on reasoning, coding, math, and context, while DeepSeek R1 leads on speed, price, and open source. Choose OpenAI o1 when you want the stronger overall profile on our scorecard; validate with your own evals before migrating production traffic.
OpenAI o1 is often shortlisted for research problems, olympiad-level math, and algorithm design. DeepSeek R1 fits self-hosted reasoning, math & code, and cost-sensitive agents. Scroll to pricing, real-world tasks, and the who-should-choose section for decision support.
People search “OpenAI o1 vs DeepSeek R1”, “which is better”, and “OpenAI o1 vs DeepSeek R1 pricing” for the same reason: switching models is expensive if quality drops, and staying put is expensive if you overpay. Use the winner card for a fast answer, the head-to-head table for receipts, and the editorial verdict for a human recommendation. OpenAI o1 currently ranks among frontier options from OpenAI; DeepSeek R1 is a flexible open-weights alternative from DeepSeek. If API pricing is your main concern, start with the pricing section; for multimodal workloads, check vision/audio rows in technical differences; for agents and long documents, prioritize context and reasoning wins.
Head to head
Pricing comparison
API cost is often the deciding factor in OpenAI o1 vs DeepSeek R1 for high-volume apps. Figures below use catalog list prices with a 3:1 input:output blend for monthly estimates. Cached input, batch, and realtime surcharges vary by provider — confirm on official docs.
| API cost | OpenAI o1 | DeepSeek R1 |
|---|---|---|
| Input / 1M tokens | $15.00 | $0.55 |
| Output / 1M tokens | $60.00 | $2.19 |
| Blended (3:1) / 1M | $26.25 | $0.96 |
| Est. cost @ 1M blended tokens | $26.25 | $0.96 |
| Est. cost @ 10M blended tokens | $262.50 | $9.60 |
| Est. cost @ 100M blended tokens | $2625.00 | $96.00 |
Cached input, batch API, and realtime surcharges are provider-specific and not always published in our catalog — verify on official pricing pages.
Benchmark showdown
OpenAI o1 leads on MMLU, MMLU Pro, GPQA, MATH, and HumanEval, indicating stronger coding and reasoning-oriented scores. DeepSeek R1 remains attractive for production deployments on price. Raw benchmarks shortlist models — run task-specific evals before you switch.
Real-world performance
Beyond academic scores, here is how OpenAI o1 vs DeepSeek R1 tends to split common product tasks based on catalog strengths, price, and modalities.
| Task | Winner |
|---|---|
| Coding | OpenAI o1 |
| Blog writing | OpenAI o1 |
| Research | OpenAI o1 |
| Customer support | DeepSeek R1 |
| Cheap API / high volume | DeepSeek R1 |
| AI agents | OpenAI o1 |
| Summarization | OpenAI o1 |
| Translation | OpenAI o1 |
| Vision / multimodal | OpenAI o1 |
| Self-hosting / open weights | DeepSeek R1 |
Technical differences
| Feature | OpenAI o1 | DeepSeek R1 |
|---|---|---|
| Provider | OpenAI | DeepSeek |
| License | Proprietary | Open source |
| Pricing model | tokens | tokens |
| Context window | 200k tokens | 128k tokens |
| Max output | 100k tokens | 33k tokens |
| Vision input | Yes | No |
| Audio input | No | No |
| Text output | Yes | Yes |
| Image output | No | No |
| Video output | No | No |
| Audio output | No | No |
| Self-host friendly | No | Yes |
| Docs | Available | Available |
Strengths, weaknesses and best-for
- Tops MATH and GPQA leaderboards
- Self-checks its work
- Very slow
- Very expensive
- Overkill for simple tasks
- Research problems
- Olympiad-level math
- Algorithm design
- Reasoning at GPT-class scores
- Open weights
- Cheap
- Slower than non-reasoning peers
- Self-hosted reasoning
- Math & code
- Cost-sensitive agents
Who should choose which
Choose OpenAI o1 if
- You need stronger reasoning, coding, or math quality
- You need a larger context window
- Research problems
- Olympiad-level math
Choose DeepSeek R1 if
- You care about faster token throughput
- API budget is the top constraint
- You want open weights / self-hosting
- Self-hosted reasoning
- Math & code
Pros & cons
OpenAI o1
Pros
- Tops MATH and GPQA leaderboards
- Self-checks its work
Cons
- Very slow
- Very expensive
- Overkill for simple tasks
DeepSeek R1
Pros
- Reasoning at GPT-class scores
- Open weights
- Cheap
Cons
- Slower than non-reasoning peers
Editorial verdict
OpenAI o1 edges this matchup — with caveats
OpenAI o1 is the better choice when you prioritize reasoning, coding, math, and context. DeepSeek R1 stands out for speed, price, and open source, making it a strong option when those dimensions matter more than raw leaderboard rank. If maximum measured performance matters, OpenAI o1 wins this matchup. If cost and control matter more, DeepSeek R1 is difficult to beat. Always confirm with a bake-off on your real prompts before cutting over.
Still deciding? Read the full OpenAI o1 review and DeepSeek R1 review, or open the full AI models table.
OpenAI o1 vs DeepSeek R1 — frequently asked questions
More models from these providers
Build the shortlist that fits your stack
Open every model in one place — sortable table with intelligence, speed and price.