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DeepSeek-R1 (0528)

The DeepSeek R1 model has undergone a minor version upgrade, with the current version being DeepSeek-R1-0528.

text → text · made by DeepSeek

$0.2→$0.6per Mtok in / out
Lambda · 11 sellers

Sold by 20 ways

SellerLaneRate
Google Vertex AI 0 ways$0.68per Mtok in$2.7per Mtok out
Google Vertex AI cloudnot on the seller's list todaybatch$0.68per Mtok in$2.7per Mtok outcloud.google.com · read 2026-08-24
Google Vertex AI 0 ways$1.35per Mtok in$5.4per Mtok out
Google Vertex AI cloudnot on the seller's list todaystandard$1.35per Mtok in$5.4per Mtok outcloud.google.com · read 2026-08-24
Crusoe cloudstandard$3per Mtok in$7per Mtok outraw.githubusercontent.com · read 2026-11-01
Lambda aggregatorstandard$0.2per Mtok in$0.6per Mtok outraw.githubusercontent.com · read 2026-11-01
Hyperbolic aggregatorstandard$0.25per Mtok in$0.25per Mtok outraw.githubusercontent.com · read 2026-11-01
Featherless AI aggregatorstandard$0.39per Mtok in$1.62per Mtok outapi.featherless.ai · read 2026-09-20
DeepInfra aggregatorstandard$0.5per Mtok in$2.15per Mtok out$0.35per Mtok cachedapi.deepinfra.com · read 2026-08-25
Hugging Face Inference Providers 3 ways$3per Mtok in$5per Mtok out
Hugging Face Inference Providers aggregatordeepinfra$0.5per Mtok in$2.15per Mtok outrouter.huggingface.co · read 2026-09-20
Hugging Face Inference Providers aggregatornovita$0.7per Mtok in$2.5per Mtok outrouter.huggingface.co · read 2026-09-20
Hugging Face Inference Providers aggregatorstandard$3per Mtok in$5per Mtok outmodels.dev · read 2026-11-01
Nous Research aggregatorstandard$0.5per Mtok in$2.15per Mtok out$0.35per Mtok cachedinference-api.nousresearch.com · read 2026-09-12
OpenRouter 3 ways$0.5per Mtok in$2.15per Mtok out$0.35per Mtok cached
OpenRouter aggregatorstandard$0.5per Mtok in$2.15per Mtok out$0.35per Mtok cachedopenrouter.ai · read 2026-08-24
OpenRouter aggregatorsiliconflow/fp8$0.5per Mtok in$2.18per Mtok outopenrouter.ai · read 2026-08-25
OpenRouter aggregatorstreamlake$0.57per Mtok in$2.29per Mtok outopenrouter.ai · read 2026-08-25
OpenRouter aggregatornot on the seller's list todaynovita/fp8$0.7per Mtok in$2.5per Mtok out$0.35per Mtok cachedopenrouter.ai · read 2026-08-25
ElectronHub 0 ways$0.7per Mtok in$2.5per Mtok out
ElectronHub aggregatornot on the seller's list todaystandard$0.7per Mtok in$2.5per Mtok outapi.electronhub.ai · read 2026-10-18
Novita AI aggregatorstandard$0.7per Mtok in$2.5per Mtok out$0.35per Mtok cachedapi.novita.ai · read 2026-08-25
Fireworks AI aggregatorstandard$3per Mtok in$8per Mtok outraw.githubusercontent.com · read 2026-11-01
Together AI aggregatorstandard$3per Mtok in$7per Mtok outraw.githubusercontent.com · read 2026-11-01
PPIO 0 ways$4per Mtok in$16per Mtok out
PPIO aggregatornot on the seller's list todaystandard$4per Mtok in$16per Mtok outapi.ppinfra.com · read 2026-09-10

Measured 25 standings

PlaceBoardMetricScore
9thof 108Math level 5 — Epoch AImean_score96.639
14thof 49Lech mazur writing — Epoch AIMean score8.19
16thof 69Aider polyglot coding leaderboardPercent correct71.4
19thof 72Aider polyglot — Epoch AIPercent correct71.4
28thof 49Metr time horizons — Epoch AIaverage_score0.538
41stof 41Deepresearchbench — Epoch AIAverage score0.351
71stof 102Simplebench — Epoch AIScore (AVG@5)0.408
77thof 132Ale bench — Epoch AIPerformance804.12
90thof 154Design Arena · dataviz (models)Elo1182
102ndof 114Design Arena · svg (models)Elo1035
105thof 150Design Arena · 3d (models)Elo1108
106thof 173Weirdml — Epoch AIAccuracy41.63
120thof 169Design Arena · website (models)Elo1149
122ndof 163Design Arena · codecategories (models)Elo1137
122ndof 157Design Arena · uicomponent (models)Elo1097
126thof 162Design Arena · gamedev (models)Elo1097
129thof 414LMArena · TextScore (Elo)1421
156thof 326GPQA Diamondmean_score76.326
163rdof 306OTIS Mock AIME 2024-2025mean_score66.389
238thof 273ARC-AGI-1 (Public Eval)Score (%)26.98
239thof 282ARC-AGI-2 (Public Eval)Score (%)0.29
253rdof 298ARC-AGI-1 (Semi-Private)Score (%)21.21
255thof 290Arc agi 2 — Epoch AIScore1.12
261stof 298ARC-AGI-2 (Semi-Private)Score (%)1.12
264thof 309Arc agi — Epoch AIScore21.21

About

DeepSeek-R1 (0528) — a text model from DeepSeek, sold by 11 companies from $0.2 in and $0.6 out per million tokens, placed 9th of 108 on Math level 5 — Epoch AI.

It takes text and returns text, with a context window of 131,072 tokens. It was published in May 2025, trained on material up to July 2024. Its sellers say it can reason step by step and call a tool. The catalogue files it under reasoning, code and agents. Eleven companies sell it. The cheapest is $0.2 in and $0.6 out per million tokens at Lambda. Beside the standard rate there are separately routed and regional lanes. It has been measured on 25 boards, and stands best at 9th of 108 on Math level 5 — Epoch AI.

Every current figure

Maker
DeepSeek
Register
model
Takes
text
Returns
text
Context
131,072 tokens
Published
May 2025
Knowledge to
July 2024
Parameters
685 billion
Licence
not read
Sellers
11
Maker's own price
not read
Price
$0.2 in and $0.6 out per million tokens — Lambda
Boards
25
Best place
9th of 108 — Math level 5 — Epoch AI

Known as 4 names

DeepSeek R1 (0528)DeepSeek-R1-0528deepseek-ai/DeepSeek-R1-0528deepseek/deepseek-r1-0528