← All models

DeepSeek R1

open weights
DeepSeek · 1 offer

Top 1 cheapest providers (Adjusted $/task)

Within the active global provider, residency and confidentiality filters.

#ProviderAdjusted $/task
1AWS Bedrockdirect — Direct price: AWS Bedrock's own price list (https://aws.amazon.com/bedrock/pricing/), collected 2026-11-03.

Composite

2 of 7 inputs · 2 from the model family6 radar axes: DesignArena's two boards share one

No Composite score for this exact configuration: none of its inputs has a directly measured result. Family-attached evidence does not qualify this row for model-specific scoring.

AA Coding v4.xCoding Agent v1.4AA IntelligenceAA AgenticEpoch ECISoftware ECIDesignArenaEpoch ECI: percentile 13Software ECI: percentile 7

AA Coding v4.x —Coding Agent v1.4 —AA Intelligence —AA Agentic —Epoch ECI 138.8Software ECI 139.7DesignArena —/—

Radar: percentile among all models measured on each input; a gap means not measured.

Benchmark sheet

11 of 319 registered benchmark versions · bars show the percentile among all models measured on each benchmark.

2 of 11 values are DeepSeek's own claims (†), not independent measurements; a matching independent result replaces a claim as soon as one exists.

Composite attachments (used in the score, not counted as exact benchmarks):
  • Epoch ECI · attached
  • Software ECI · attached
Compare this model →

Agentic

  • Elimination Game Benchmark834

    Elimination Game Benchmark published 2026-09-10 → · Published board — Multi-player tournament where 8 LLM players converse, form alliances, and vote to eliminate each other, with final rankings scored via TrueSkill.

Coding

  • Aider Polyglot3356.9%

    Aider Polyglot published 2026-09-10 → · edit format: diff — Evaluates LLMs on 225 Exercism coding exercises across six languages, testing code editing without human intervention.

Knowledge

  • UGI NatInt7952.0

    UGI NatInt published 2026-09-10 → · Published board — A private-question evaluation of general knowledge and reasoning across textbook, popular-culture and world-model topics.

Reasoning

  • ARC-AGI-1developer's claim15.8%† self-reported by the developer

    ARC-AGI-1 v1 → · Published board — The first-generation ARC-AGI benchmark measuring passive fluid intelligence, with leaderboard score plotted against cost-per-task.

  • ARC-AGI-2developer's claim1.3%† self-reported by the developer

    ARC-AGI-2 v2 → · Published board — The second-generation ARC-AGI benchmark of passive fluid intelligence, with leaderboard score plotted against cost-per-task.

  • SimpleBench5330.9%

    SimpleBench published 2026-09-10 → · Published board — A multiple-choice text benchmark of over 200 questions covering spatio-temporal reasoning, social intelligence, and linguistic adversarial robustness, on which a non-specialized human baseline outperforms every tested LLM.

  • SimpleBench5330.9%

    SimpleBench published 2026-09-26 → · Published board — A multiple-choice text benchmark of over 200 questions covering spatio-temporal reasoning, social intelligence, and linguistic adversarial robustness, on which a non-specialized human baseline outperforms every tested LLM.

Science

  • CritPtno percentile1.1%

    CritPt published 2026-09-10 → · Published board — A frontier physics research benchmark with 71 challenges and 190 checkpoints testing LLMs on unpublished, research-level physics reasoning.

Uncensored

  • UGI Willingness422.80

    UGI Willingness published 2026-09-10 → · Published board — A private-question evaluation of how far a model follows challenging instructions before refusing or deviating.

  • UGI8351.0

    UGI published 2026-09-10 → · Published board — A private-question suite combining sensitive-topic knowledge with willingness to follow controversial instructions.

Writing

  • UGI Writing7951.8

    UGI Writing published 2026-09-10 → · Published board — A maintainer-owned writing evaluation considering intelligence, style, repetition and length adherence, informed by human preferences.

Missing coverage · 308 benchmark versions

No result does not mean a zero, or that the model was never tested. Collection failures and disputed versions retain their distinct status.

Token offers by platform · 1 offer (Adjusted $/task)

Click any underlined price to see how it is estimated and where each input comes from. How we calculate adjusted cost.

1 offer within the active global filters; “price n/a” means the provider serves the model but publishes no direct token price we could collect — no other channel's price is shown in its place.

AWS Bedrock (1)

Direct prices from AWS Bedrock's own price list. Source: aws.amazon.com/bedrock/pricing/, collected 2026-11-03.

AWS Bedrock
DeepSeek R1 — benchmarks & cost | Benchmark Heaven