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DeepSeek-V3 0324

DeepSeek-V3-0324, a strong Mixture-of-Experts (MoE) language model with 671B total parameters with 37B activated for each token, an improved iteration over DeepSeek-V3.

text → text · made by DeepSeek

$0.2→$0.6per Mtok in / out
Lambda · 12 sellers

Sold by 23 ways

SellerLaneRate
Crusoe cloudstandard$0.5per Mtok in$1.5per Mtok out$0.25per Mtok cachedmodels.dev · read 2026-10-31
Microsoft Azure AI cloudstandard$1.14per Mtok in$4.56per Mtok outraw.githubusercontent.com · read 2026-10-31
Lambda aggregatorstandard$0.2per Mtok in$0.6per Mtok outraw.githubusercontent.com · read 2026-10-31
DeepInfra aggregatorstandard$0.24per Mtok in$0.9per Mtok outapi.deepinfra.com · read 2026-08-25
Hugging Face Inference Providers 2 ways$0.27per Mtok in$1.12per Mtok out
Hugging Face Inference Providers aggregatordeepinfra$0.24per Mtok in$0.9per Mtok outrouter.huggingface.co · read 2026-08-25
Hugging Face Inference Providers aggregatorstandard$0.27per Mtok in$1.12per Mtok outmodels.dev · read 2026-10-31
Hugging Face Inference Providers aggregatornot on the seller's list todaynovita$0.27per Mtok in$1.12per Mtok outrouter.huggingface.co · read 2026-08-25
OpenRouter 3 ways$0.29per Mtok in$1.14per Mtok out$0.11per Mtok cached
OpenRouter aggregatornot on the seller's list todaydeepinfra/fp4$0.24per Mtok in$0.9per Mtok out$0.14per Mtok cachedopenrouter.ai · read 2026-08-26
OpenRouter aggregatorsiliconflow/fp8$0.25per Mtok in$1per Mtok outopenrouter.ai · read 2026-09-09
OpenRouter aggregatornot on the seller's list todaynovita/fp8$0.27per Mtok in$1.12per Mtok out$0.14per Mtok cachedopenrouter.ai · read 2026-08-26
OpenRouter aggregatorstandard$0.29per Mtok in$1.14per Mtok out$0.11per Mtok cachedopenrouter.ai · read 2026-10-05
OpenRouter aggregatorgmicloud/fp8$0.29per Mtok in$1.14per Mtok out$0.11per Mtok cachedopenrouter.ai · read 2026-08-25
OpenRouter aggregatornot on the seller's list todaycrusoe/bf16$0.5per Mtok in$1.5per Mtok out$0.25per Mtok cachedopenrouter.ai · read 2026-08-25
Novita AI 0 ways$0.27per Mtok in$1.12per Mtok out$0.14per Mtok cached
Novita AI aggregatornot on the seller's list todaystandard$0.27per Mtok in$1.12per Mtok out$0.14per Mtok cachedapi.novita.ai · read 2026-08-25
Nous Research aggregatorstandard$0.29per Mtok in$1.14per Mtok out$0.11per Mtok cachedinference-api.nousresearch.com · read 2026-10-29
Featherless AI aggregatorstandard$0.39per Mtok in$1.62per Mtok outapi.featherless.ai · read 2026-09-20
Hyperbolic aggregatorstandard$0.4per Mtok in$0.4per Mtok outraw.githubusercontent.com · read 2026-10-31
Requesty aggregatornovita$0.4per Mtok in$1.3per Mtok out$0.4per Mtok cachedrouter.requesty.ai · read 2026-08-28
ElectronHub 0 ways$0.5per Mtok in$1.5per Mtok out
ElectronHub aggregatornot on the seller's list todaystandard$0.5per Mtok in$1.5per Mtok outapi.electronhub.ai · read 2026-10-18
Baseten aggregatorstandard$0.77per Mtok in$0.77per Mtok outraw.githubusercontent.com · read 2026-10-31
Fireworks AI aggregatorstandard$0.9per Mtok in$0.9per Mtok outraw.githubusercontent.com · read 2026-10-31
PPIO 0 ways$2per Mtok in$8per Mtok out
PPIO aggregatornot on the seller's list todaystandard$2per Mtok in$8per Mtok outapi.ppinfra.com · read 2026-09-28
SambaNova Cloud 0 ways$3per Mtok in$4.5per Mtok out
SambaNova Cloud aggregatornot on the seller's list todaystandard$3per Mtok in$4.5per Mtok outraw.githubusercontent.com · read 2026-09-22

Measured 17 standings

PlaceBoardMetricScore
11thof 54Live bench — Epoch AIGlobal average66.86
27thof 49Lech mazur writing — Epoch AIMean score7.7
30thof 69Aider polyglot coding leaderboardPercent correct55.1
31stof 49Metr time horizons — Epoch AIaverage_score0.496
35thof 72Aider polyglot — Epoch AIPercent correct55.1
40thof 108Math level 5 — Epoch AImean_score75.548
85thof 102Simplebench — Epoch AIScore (AVG@5)0.272
126thof 131Artificial Analysis · Agentic IndexIndex0.8
133rdof 163Artificial Analysis · Coding IndexIndex21.2
139thof 173Weirdml — Epoch AIAccuracy36.08
165thof 414LMArena · TextScore (Elo)1395
173rdof 235Dtbench — Epoch AIAccuracy64.8
175thof 197Lmca — Epoch AIScore15.47
187thof 235Scicode — Epoch AIScore39.005
194thof 326GPQA Diamondmean_score67.614
216thof 260Critpt — Epoch AIAccuracy0
221stof 306OTIS Mock AIME 2024-2025mean_score37.778

About

DeepSeek-V3 0324 — a text model from DeepSeek, sold by 12 companies from $0.2 in and $0.6 out per million tokens, placed 11th of 54 on Live bench — Epoch AI.

It takes text and returns text, with a context window of 131,072 tokens. It was published in December 2024, trained on material up to July 2024. Its sellers say it can call a tool. The catalogue files it under reasoning, code and agents. Twelve 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 17 boards, and stands best at 11th of 54 on Live bench — Epoch AI.

Every current figure

Maker
DeepSeek
Register
model
Takes
text
Returns
text
Context
131,072 tokens
Published
December 2024
Knowledge to
July 2024
Parameters
685 billion
Licence
not read
Sellers
12
Maker's own price
not read
Price
$0.2 in and $0.6 out per million tokens — Lambda
Boards
17
Best place
11th of 54 — Live bench — Epoch AI

Known as 6 names

V3-0324deepseek-ai/DeepSeek-V3-0324deepseek/deepseek-chat-v3-0324deepseek/deepseek-v3-0324novita/deepseek/deepseek-v3-0324DeepSeek: DeepSeek V3 0324