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DeepSeek model product

DeepSeek-R1

DeepSeek-R1 is a reasoning model for complex reasoning, mathematical problem-solving, and code generation through a thinking mode approach.

Updated Oct 23, 2026. Default version: DeepSeek-R1-0528

LLMBoard Score41.6DeepSeek-R1-0528
Coverage80%16 benchmark families
Context window163.8KTokens
Official input priceN/AOfficial price unavailable

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Similar models
  • About
  • FAQ

DeepSeek-R1 Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

DeepSeek-R1-0528 LLMBoard score breakdown

DeepSeek-R1 Benchmark Results

Benchmark scores for DeepSeek-R1-0528.

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkSimpleQAScore92.30%Rank04Participants47Percentile93.48%EvidenceCEvaluatedOct 22, 2026
BenchmarkAider-PolyglotScore71.60%Rank06Participants22Percentile76.19%EvidenceCEvaluatedOct 22, 2026
BenchmarkAIME 2024Score91.40%Rank07Participants54Percentile88.68%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMLU-ReduxScore93.40%Rank10Participants50Percentile81.63%EvidenceCEvaluatedOct 22, 2026
BenchmarkBrowseComp-zhScore35.70%Rank15Participants15Percentile0.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkCodeForcesScore64.33%Rank16Participants20Percentile21.05%EvidenceCEvaluatedOct 22, 2026
BenchmarkLiveCodeBenchScore73.30%Rank20Participants76Percentile74.67%EvidenceCEvaluatedOct 22, 2026
BenchmarkMMLU-ProScore85.00%Rank21Participants142Percentile85.82%EvidenceCEvaluatedOct 22, 2026
BenchmarkHMMT 2025Score79.40%Rank25Participants33Percentile25.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkTerminal-BenchScore5.70%Rank25Participants25Percentile0.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkSWE-bench MultilingualScore30.50%Rank50Participants50Percentile0.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkAIME 2025Score87.50%Rank58Participants122Percentile52.89%EvidenceCEvaluatedOct 22, 2026
BenchmarkBrowseCompScore8.90%Rank70Participants70Percentile0.00%EvidenceCEvaluatedOct 22, 2026
BenchmarkHumanity's Last ExamScore17.70%Rank78Participants109Percentile28.70%EvidenceCEvaluatedOct 22, 2026
BenchmarkLM Arena TextScore1,427.82 ratingRank78Participants218Percentile64.52%EvidenceAEvaluatedOct 20, 2026
BenchmarkGPQAScore81.00%Rank96Participants256Percentile62.75%EvidenceCEvaluatedOct 22, 2026
BenchmarkLM Arena Text Style ControlScore1,421.55 ratingRank98Participants218Percentile55.30%EvidenceAEvaluatedOct 20, 2026
BenchmarkSWE-Bench VerifiedScore44.60%Rank107Participants120Percentile10.92%EvidenceCEvaluatedOct 22, 2026

DeepSeek-R1 Arena Results

Preference and agent-evaluation results for the default version.

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Arena
Category
Rank
Rating / score
Votes
Observations
Result date
ArenatextCategorycreative writingRank61Rating / score1,405.34Votes2,408ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry medicine and healthcareRank65Rating / score1,445.36Votes1,228ObservationsN/AResult dateOct 20, 2026
ArenatextCategorypolishRank69Rating / score1,428.15Votes1,980ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryjapaneseRank70Rating / score1,391.01Votes620ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry entertainment and sports and mediaRank71Rating / score1,400.34Votes3,182ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryrussianRank71Rating / score1,423.01Votes1,524ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryexclude tiesRank76Rating / score1,420.00Votes13,076ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryjapaneseRank76Rating / score1,389.27Votes620ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryoverallRank78Rating / score1,427.82Votes18,165ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryenglishRank79Rating / score1,437.21Votes8,162ObservationsN/AResult dateOct 20, 2026
ArenatextCategorynon englishRank81Rating / score1,411.93Votes9,997ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry writing and literature and languageRank85Rating / score1,401.83Votes4,199ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryindustry medicine and healthcareRank90Rating / score1,443.17Votes1,228ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorypolishRank91Rating / score1,411.82Votes1,980ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry life and physical and social scienceRank92Rating / score1,430.25Votes3,387ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryrussianRank93Rating / score1,413.19Votes1,524ObservationsN/AResult dateOct 20, 2026
ArenatextCategorygermanRank95Rating / score1,404.26Votes597ObservationsN/AResult dateOct 20, 2026
ArenatextCategorykoreanRank96Rating / score1,359.71Votes323ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry software and it servicesRank97Rating / score1,434.92Votes5,531ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryexclude tiesRank97Rating / score1,412.33Votes13,076ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryindustry entertainment and sports and mediaRank97Rating / score1,388.33Votes3,182ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorycreative writingRank98Rating / score1,388.85Votes2,408ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryenglishRank98Rating / score1,433.62Votes8,162ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryoverallRank98Rating / score1,421.55Votes18,165ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorycodingRank99Rating / score1,464.05Votes2,690ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategoryindustry software and it servicesRank99Rating / score1,455.86Votes5,531ObservationsN/AResult dateOct 20, 2026
Arenatext style controlCategorynon englishRank99Rating / score1,403.18Votes9,997ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryspanishRank101Rating / score1,411.43Votes261ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryhard promptsRank102Rating / score1,415.50Votes6,879ObservationsN/AResult dateOct 20, 2026
ArenatextCategoryindustry legal and governmentRank102Rating / score1,418.89Votes1,369ObservationsN/AResult dateOct 20, 2026

DeepSeek-R1 Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
N/A
Official provider
N/A
Lowest third-party
From $0.20 input, $0.80 output per 1M via submodel
Tracked offerings
14
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Provider
Provider model ID
Region
Input / 1M
Output / 1M
Context
Updated
ProvidersubmodelProvider model IDdeepseek-ai/DeepSeek-R1-0528RegionglobalInput / 1M$0.20Output / 1M$0.80Context75KUpdatedOct 23, 2026
ProviderMeganovaProvider model IDdeepseek-ai/DeepSeek-R1-0528RegionglobalInput / 1M$0.50Output / 1M$2.15Context163.8KUpdatedOct 23, 2026
ProviderNanoGPTProvider model IDdeepseek-ai/DeepSeek-R1-0528RegionglobalInput / 1M$0.50Output / 1M$2.15Context163.8KUpdatedOct 23, 2026
ProviderDeep InfraProvider model IDdeepseek-ai/DeepSeek-R1-0528RegionglobalInput / 1M$0.50Output / 1M$2.15Context163.8KUpdatedOct 23, 2026
ProviderOpenRouterProvider model IDdeepseek/deepseek-r1-0528RegionglobalInput / 1M$0.50Output / 1M$2.15Context163.8KUpdatedOct 23, 2026
ProviderKilo GatewayProvider model IDdeepseek/deepseek-r1-0528RegionglobalInput / 1M$0.50Output / 1M$2.15Context163.8KUpdatedOct 23, 2026
ProviderAlibaba (China)Provider model IDdeepseek-r1-0528RegionglobalInput / 1M$0.574Output / 1M$2.29Context131.1KUpdatedOct 23, 2026
ProviderQiniuProvider model IDdeepseek-r1-0528RegionglobalInput / 1M$0.5797Output / 1M$2.32Context128KUpdatedOct 23, 2026
ProviderTensorXProvider model IDdeepseek/deepseek-r1-0528RegionglobalInput / 1M$0.66Output / 1M$2.6Context164KUpdatedOct 23, 2026
ProviderMeliousProvider model IDdeepseek-r1-0528RegionglobalInput / 1M$0.6955Output / 1M$2.78Context164KUpdatedOct 23, 2026
ProviderJiekou.AIProvider model IDdeepseek/deepseek-r1-0528RegionglobalInput / 1M$0.70Output / 1M$2.5Context163.8KUpdatedOct 23, 2026
ProviderNovita AIProvider model IDdeepseek/deepseek-r1-0528RegionglobalInput / 1M$0.70Output / 1M$2.5Context163.8KUpdatedOct 23, 2026
ProviderMerge GatewayProvider model IDdeepseek/deepseek-r1-0528RegionglobalInput / 1M$1.35Output / 1M$5.4Context65.5KUpdatedOct 23, 2026
ProviderHugging FaceProvider model IDdeepseek-ai/DeepSeek-R1-0528RegionglobalInput / 1M$3Output / 1M$5Context163.8KUpdatedOct 23, 2026

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

DeepSeek-R1 Runtime Performance

Provider-specific output speed and catalog latency for DeepSeek-R1-0528. Runtime does not affect the capability score.

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Provider
Output Speed
Catalog Latency
Max Input
Max Output
Updated
ProviderDeepSeekOutput Speed9.00 tok/sCatalog Latency0.30 sMax Input131.1KMax Output131.1KUpdatedOct 23, 2026

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

DeepSeek-R1 Specifications

Technical details for the model's default version.

Version
DeepSeek-R1-0528
Released
May 28, 2025
Knowledge cutoff
Unknown
Parameters
671B
Context window
163.8K
Max output
163.8K
Inputs
text
Outputs
text
Open weights
Yes
License
MIT

DeepSeek-R1 Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

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Columns

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionDeepSeek-R1-0528ReleasedMay 28, 2025LLMBoard41.63Parameters671BContext163.8KMax output163.8KOpen weightsYesLicenseMIT
VersionDeepSeek R1 ZeroReleasedJan 20, 2025LLMBoardN/AParameters671BContextN/AMax outputN/AOpen weightsYesLicenseMIT
VersionDeepSeek-R1ReleasedJan 20, 2025LLMBoardN/AParameters671BContext131.1KMax output131.1KOpen weightsYesLicenseMIT

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What is DeepSeek-R1?

Key information about DeepSeek-R1 and its available data.

DeepSeek-R1 is DeepSeek's reasoning model, with DeepSeek-R1-0528 identified as its May 28, 2025 version. 1.

Data as of 2026-10-22.

FAQ

Common questions about DeepSeek-R1.

When was DeepSeek-R1 released?

DeepSeek-R1's default version was released on May 28, 2025.

How much does DeepSeek-R1 cost?

No official standard PAYG price is currently available for DeepSeek-R1. The lowest tracked third-party offer starts at $0.20 input and $0.80 output via submodel.

Who created DeepSeek-R1?

DeepSeek-R1 was created by DeepSeek.

What is the context window for DeepSeek-R1?

The default version has a 163.8K token context window.

Is DeepSeek-R1 open weight?

Yes. The default version is marked as open weight under MIT.

How many API providers offer DeepSeek-R1?

14 provider offerings are linked to the default version.