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DeepSeek R1 vs OpenAI o3-mini

Which AI model is better in 2026? Compare DeepSeek R1 and OpenAI o3-mini on benchmarks, pricing, speed, context window, and real-world fit.

Quick summary

DeepSeek R1 is currently the stronger overall pick for reasoning, coding, math, price, and open source. OpenAI o3-mini wins on context. DeepSeek R1 is also cheaper on blended API price ($0.96 vs $1.93 / 1M).

Overall winner

DeepSeek R1

View DeepSeek R1 review

DeepSeek R1 wins

  • Reasoning
  • Coding
  • Math
  • Price
  • Open source

OpenAI o3-mini wins

  • Context

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DeepSeek

DeepSeek R1

Open sourceJan 2025

Open-weights reasoning model that matches o1 at 1/25 the price.

Open docs
OpenAI

OpenAI o3-mini

ProprietaryJan 2025

Reasoning quality at fast-tier prices — the practical o-series default.

Open docs

DeepSeek R1 vs OpenAI o3-mini: overview

DeepSeek R1 (DeepSeek) and OpenAI o3-mini (OpenAI) are frequently compared by teams choosing an AI stack in 2026. DeepSeek R1: Open-weights reasoning model that matches o1 at 1/25 the price. OpenAI o3-mini: Reasoning quality at fast-tier prices — the practical o-series default. This DeepSeek R1 vs OpenAI o3-mini comparison covers benchmarks, pricing, context window, speed, modalities, strengths, weaknesses, and who should pick which model.

DeepSeek R1 is open-weights with a 128k-token context window and a blended API price near $0.96 / 1M tokens (intelligence index 73/100). OpenAI o3-mini is proprietary with 200k context at about $1.93 blended / 1M (intelligence 70/100). Those gaps drive most “DeepSeek R1 vs OpenAI o3-mini” searches — quality versus cost, closed versus open, cloud versus self-host.

Where they differ most: DeepSeek R1 tends to lead on reasoning, coding, math, price, and open source, while OpenAI o3-mini leads on context. Choose DeepSeek R1 when you want the stronger overall profile on our scorecard; validate with your own evals before migrating production traffic.

DeepSeek R1 is often shortlisted for self-hosted reasoning, math & code, and cost-sensitive agents. OpenAI o3-mini fits coding agents, stem tutoring, and step-by-step problem solving. Scroll to pricing, real-world tasks, and the who-should-choose section for decision support.

People search “DeepSeek R1 vs OpenAI o3-mini”, “which is better”, and “DeepSeek R1 vs OpenAI o3-mini 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. DeepSeek R1 currently ranks among frontier options from DeepSeek; OpenAI o3-mini is a hosted alternative from OpenAI. 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

Spec
DeepSeek R1
OpenAI o3-mini
Winner
Reason
Intelligence index↑ better
Winner73
70
DeepSeek R1
DeepSeek R1 leads on the composite intelligence index (73 vs 70).
Speed↑ better
60 tok/s
60 tok/s
Tie
Even — no meaningful gap in our catalog.
Time to first token↓ better
Winner1.5 s
6.5 s
DeepSeek R1
DeepSeek R1 starts streaming sooner (1.5s vs 6.5s TTFT).
Context window↑ better
128k
Winner200k
OpenAI o3-mini
OpenAI o3-mini wins with 200k tokens — about 1.6× DeepSeek R1.
Max output↑ better
33k
Winner100k
OpenAI o3-mini
OpenAI o3-mini wins this row (100000 vs 32768).
Input price↓ better
Winner$0.55 / 1M tokens
$1.10 / 1M tokens
DeepSeek R1
DeepSeek R1 is cheaper (~2.0× lower on this price row).
Output price↓ better
Winner$2.19 / 1M tokens
$4.40 / 1M tokens
DeepSeek R1
DeepSeek R1 is cheaper (~2.0× lower on this price row).
Blended price↓ better
Winner$0.96 / 1M tokens
$1.93 / 1M tokens
DeepSeek R1
DeepSeek R1 is cheaper (~2.0× lower on this price row).
License
Open source
Proprietary
Qualitative / categorical row
Input modalities
text
text
Qualitative / categorical row
Output modalities
text
text
Qualitative / categorical row

Pricing comparison

API cost is often the deciding factor in DeepSeek R1 vs OpenAI o3-mini 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 costDeepSeek R1OpenAI o3-mini
Input / 1M tokens$0.55$1.10
Output / 1M tokens$2.19$4.40
Blended (3:1) / 1M$0.96$1.93
Est. cost @ 1M blended tokens$0.96$1.93
Est. cost @ 10M blended tokens$9.60$19.30
Est. cost @ 100M blended tokens$96.00$193.00

Cached input, batch API, and realtime surcharges are provider-specific and not always published in our catalog — verify on official pricing pages.

Benchmark showdown

MMLU
DeepSeek R1
87.1
OpenAI o3-mini
86.0
MMLU Pro
DeepSeek R1
75.9
OpenAI o3-mini
74.0
GPQA
DeepSeek R1
71.5
OpenAI o3-mini
71.5
MATH
DeepSeek R1
90.2
OpenAI o3-mini
87.3
HumanEval
DeepSeek R1
91.0
OpenAI o3-mini
88.0

DeepSeek R1 leads on MMLU, MMLU Pro, MATH, and HumanEval, indicating stronger coding and reasoning-oriented scores. DeepSeek R1 also undercuts on blended API price. Raw benchmarks shortlist models — run task-specific evals before you switch.

Real-world performance

Beyond academic scores, here is how DeepSeek R1 vs OpenAI o3-mini tends to split common product tasks based on catalog strengths, price, and modalities.

TaskWinner
CodingDeepSeek R1
Blog writingDeepSeek R1
ResearchOpenAI o3-mini
Customer supportDeepSeek R1
Cheap API / high volumeDeepSeek R1
AI agentsOpenAI o3-mini
SummarizationDeepSeek R1
TranslationDeepSeek R1
Vision / multimodalDeepSeek R1
Self-hosting / open weightsDeepSeek R1

Technical differences

FeatureDeepSeek R1OpenAI o3-mini
ProviderDeepSeekOpenAI
LicenseOpen sourceProprietary
Pricing modeltokenstokens
Context window128k tokens200k tokens
Max output33k tokens100k tokens
Vision inputNoNo
Audio inputNoNo
Text outputYesYes
Image outputNoNo
Video outputNoNo
Audio outputNoNo
Self-host friendlyYesNo
DocsAvailableAvailable

Strengths, weaknesses and best-for

DeepSeek R1
Strengths
  • Reasoning at GPT-class scores
  • Open weights
  • Cheap
Weaknesses
  • Slower than non-reasoning peers
Best for
  • Self-hosted reasoning
  • Math & code
  • Cost-sensitive agents
OpenAI o3-mini
Strengths
  • Affordable reasoning
  • Tool use
  • Reliable on math/code
Weaknesses
  • No vision
  • Slower than non-reasoning models
Best for
  • Coding agents
  • STEM tutoring
  • Step-by-step problem solving

Who should choose which

Choose DeepSeek R1 if

  • You need stronger reasoning, coding, or math quality
  • API budget is the top constraint
  • You want open weights / self-hosting
  • Self-hosted reasoning
  • Math & code

Choose OpenAI o3-mini if

  • You need a larger context window
  • Coding agents
  • STEM tutoring

Pros & cons

DeepSeek R1

Pros

  • Reasoning at GPT-class scores
  • Open weights
  • Cheap

Cons

  • Slower than non-reasoning peers

OpenAI o3-mini

Pros

  • Affordable reasoning
  • Tool use
  • Reliable on math/code

Cons

  • No vision
  • Slower than non-reasoning models

Editorial verdict

DeepSeek R1 edges this matchup — with caveats

DeepSeek R1 is the better choice when you prioritize reasoning, coding, math, price, and open source. OpenAI o3-mini stands out for context, making it a strong option when those dimensions matter more than raw leaderboard rank. If maximum measured performance matters, DeepSeek R1 wins this matchup. If your niche constraints matter more, OpenAI o3-mini is difficult to beat. Always confirm with a bake-off on your real prompts before cutting over.

Still deciding? Read the full DeepSeek R1 review and OpenAI o3-mini review, or open the full AI models table.

DeepSeek R1 vs OpenAI o3-mini — frequently asked questions

On our scorecard, DeepSeek R1 wins overall (leads on Reasoning, Coding, Math, Price, and Open source). The “better” model still depends on your workload — validate with your own evals.

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