The LogiciansStrict ZDR Verified

DeepSeek

Versatile reasoning at the lowest cost.

Laboratory Overview

DeepSeek is an open research powerhouse known for pioneering breakthrough Mixture-of-Experts architectures like Multi-Head Latent Attention (MLA) and DualPipe MoE. Their V4 Pro and R1 models offer frontier math and coding at unprecedented cost efficiency.

Core Research Focus:Pure logicmathefficiencyversatile general-purpose intelligence at extremely low cost.

Privacy & Zero Data Retention

Strict Zero Data Retention (ZDR): Requests are processed ephemerally in RAM. No user data, prompts, or completions are stored, indexed, or used for model training.

No user telemetry sent to DeepSeek

DeepSeek Foundation Models (8)

Available under ARMES unified subscription without separate API keys or billing agreements.

Tier:

Mixture of Experts (MoE)

MoEEco

V4 Pro 0813

Terminal-Bench 2.1: 87.9%, DeepSWE: 62.7%, CyberGym: 83.3%, AutomationBench: 31.8%, Toolathlon-Verified: 74.1%, HLE w/ tools: 60.0%, GPQA Diamond: 90.1%, Artificial Analysis Intelligence Index: 53.2, AA Coding Index: 68.8, AA Agentic Index: 49.6 | The official GA release of V4 Pro, superseding the April preview (released Aug 13, 2026).

AA Intelligence Index:36.0

1M ctx

$1.32 / $3.96 /MTok

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Mixture of Experts (MoE)

MoEEco

V4 Pro

V4 Pro is a high-performance foundation model engineered by DeepSeek, accessible with Zero Data Retention on ARMES.

AA Intelligence Index:30.4

128K ctx

$1.74 / $3.48 /MTok

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Sparse Mixture-of-Experts (MoE) on Causal Encoder-Decoder (CED) Transformer

MoEFree

v4.1 Flash 1017

DeepSeek V4.1 Flash 1017 is the October 17, 2026 snapshot of DeepSeek V4.1 Flash — a 552B-parameter sparse Mixture-of-Experts model built on DeepSeek's Causal Encoder-Decoder (CED) architecture, activating only ~8B parameters during prefill and ~16B during decode. It pairs a 1,048,576-token context window with native image input, controllable reasoning effort, MIT-licensed open weights, and an extremely low price ($0.15/1M in, $0.60/1M out), positioning it as a cost-dominant agentic/coding workhorse.

Terminal-Bench 4.0:42.3%

1.05M ctx

$0.30 / $1.20 /MTok

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Sparse Mixture-of-Experts (MoE) on a Causal Encoder-Decoder (CED) backbone

MoEFree

V4.1 Flash

DeepSeek V4.1 Flash (deepseek/deepseek-v4.1-flash) is DeepSeek's 552B-parameter sparse mixture-of-experts frontier-workhorse (released Sept 10, 2026), the first model built on the company's Causal Encoder-Decoder (CED) architecture with asymmetric activation of ~8B params on input and ~16B on output. Paired with a 1M-token (1,048,576) context window, native image modality, aggressive pricing and ~175 tps hosted throughput, it delivers near-flagship reasoning (GPQA Diamond 90.2, HLE-with-tools 63.9, AA Intelligence Index 39.5) and class-leading terminal/agentic coding (Terminal-Bench 2.1 90.6, DeepSWE v1.1 74.2) at a fraction of Pro-tier cost.

Terminal-Bench 2.1:90.6%

1.05M ctx

$0.30 / $1.20 /MTok

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Sparse Mixture-of-Experts (MoE) Autoregressive Transformer

MoEFree

V4 Flash-0731

DeepSeek V4 Flash 0731 is a sparse mixture-of-experts model (284B total / 13B active parameters) with a 1M-token context, released as a re-post-trained revision of the V4 Flash preview tuned for coding, reasoning, and agentic workflows. It delivers near-flagship agentic/coding performance at exceptionally low cost.

AA Intelligence Index:34.3

1.05M ctx

$0.14 / $0.28 /MTok

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Mixture of Experts (MoE)

MoEFree

V4 Flash

Strong on long-document and routine coding | Cost-effective high-volume tasks, long-document processing, routine coding, local deployment on consumer hardware.

AA Intelligence Index:24.2

1M ctx

$0.14 / $0.28 /MTok

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Mixture of Experts (MoE)

MoEEco

— | Deep reasoning, chain-of-thought tasks

Matharena Apex (2025):1.0%

128K ctx

$0.70 / $2.50 /MTok

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Mixture of Experts (MoE)

MoEFree

V3.2

GPQA Diamond: 82.4%, SWE-bench: 73.1%, AIME: 93.1% | General chat, simple Q&A, translation, notes retrieval, simple scripts, moderate analysis, standard tasks.

AA Intelligence Index:21.5

128K ctx

$0.56 / $1.68 /MTok

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