#7 of 13

DeepSeek

Up 1.0 since 23 Sep, rising over 30 days (Direction ▲ 1.7). Latest driver: DeepSeek releases V4.1 Flash on Hugging Face.

Strongest onEcosystem3rd

Lags onTrust, safety and privacy13thCapability10thReliability10th

Score56.5▲ 1.0 since 23 Sep

Strength56.2Eight pillars

Direction▲ 1.7Last 30 days

Confidence high100% of its indicators measured and fresh

Score over time

ScoreStrength

32 daily closes, the earlier ones reconstructed. Download CSV

Reconstructed Rebuilt with the live code from evidence dated on or before 24 September 2026. How

The eight pillars

Each pillar 0 to 100 on fixed goalposts, with its rank among the 13 ranked labs. The tick marks the median lab; points are what the pillar adds to Strength.

Capability2010th75+15.0

Usage and adoption164th35+5.6

Release execution68th50+3.0

Value157th57+8.5

Ecosystem113rd76+8.4

Reception46th54+2.1

Reliability1110th89+9.8

Trust, safety and privacy1713th23+3.9

Why DeepSeek is #7

Most of its Strength comes from Capability and Reliability. Points are contributions to the Score.

Behind Meta by 0.8 points. Biggest differences: Capability −1.8, Ecosystem +1.6, Trust, safety and privacy −0.5.
Ahead of xAI by 2.0 points. Biggest differences: Reliability +3.3, Trust, safety and privacy −1.1, Usage and adoption +1.1; Direction −0.8.

With every pillar weight moved up to 50% either way, it ranks 6 to 8 in 90% of recalculations; with equal weights, #7.

Since 23 Sep

Score up 1.0 (55.5 to 56.5). Usage and adoption +1.1.

What was measuredAll 25 readings behind this close, with source, date and goalposts

Filled: no fresh reading, so the ranked labs' median was used. Carried: a source that keeps no history, read later.

Indicator	Reading	Scaled	Goalposts	As of
Arena text rating Arena (arena.ai) text leaderboard: rating of the lab's best model with 1,000 votes or more	1463.4 deepseek-v4-pro-high-20260813	71	1250 to 1550 rating	24 Sep
Benchmarks Epoch AI Benchmarking Hub: the lab's best score on each of GPQA Diamond, FrontierMath tiers 1 to 3, SWE-bench Verified and OTIS Mock AIME, each placed between fixed goalposts, averaged; runs from the last 365 days, at least 3 of the 4	78.5 GPQA diamond 91.7% (DeepSeek V4 Pro 0813 (max)); FrontierMath-Tiers-1-3-v2-Private 64.6% (DeepSeek V4 Pro 0813 (max)); SWE-Bench verified 77.6% (DeepSeek v4 Pro (max)); OTIS Mock AIME 2024-2025 98.6% (DeepSeek V4 Pro 0813 (max))	79	already 0 to 100	24 Sep
Paid adoption Published spend and paid-use evidence, latest edition of each: Ramp AI Index (share of US businesses paying the vendor, monthly), Menlo Ventures (enterprise API spend share), a16z CIO survey (share of LLM wallet), ICONIQ (share of AI builders using the provider), each placed on its own scale and averaged by weight; facts and sources at /data/adoption.json	1.6 Ramp AI Index (2026-08): 0.34%; Menlo Ventures, State of Generative AI in the Enterprise (2025-12): not named, below its threshold; a16z enterprise CIO survey (2026-01): not named, below its threshold; ICONIQ, State of AI 2026: The Builder's Economy (2026-07): 7%	2	already 0 to 100	24 Sep
Assistant users Users of the lab's assistants (chat apps and coding agents) as the lab or its parent last disclosed them, or a panel measurement (QuestMobile) where a lab discloses none; weekly figures count as monthly (a lower bound); dated by disclosure, and only disclosures from the last 12 months count; not applicable to a lab with no figure; facts and sources at /data/assistants.json	129000000 DeepSeek app: 129 million active users (June 2026) (QuestMobile, H1 2026, 2026-07-25, third-party measurement)	64	1 million to 2 billion monthly users	24 Sep
Web traffic Cloudflare Radar: the lab's best rank among the top 20 generative-AI services by traffic, 21 minus the rank	17 DeepSeek #4 among generative-AI services	85	0 to 20 rank points	24 Sep
API spend share OpenRouter rankings: the lab's share of all dollars spent on OpenRouter in the last 30 days, across every model (not token volume, which cheap bulk models dominate)	8.3074 8.3% of $95.1M spent on OpenRouter in 30 days (20 models)	49	0% to 35% of spend	24 Sep
App charts App Store top free charts in 7 countries	3.3 CN #78	3	0 to 100 chart points	24 Sep
Coding agent downloads npm and PyPI downloads of the lab's official coding agents (such as Claude Code, Codex, Gemini CLI, Qwen Code, Mistral Vibe), last 30 days; not applicable to a lab with none; standalone IDEs without public counts (such as Antigravity) are not seen	No official coding agent with public download counts		10 thousand to 100 million a month
Coding extension installs VS Code Marketplace: installs of the lab's official coding extensions; not applicable to a lab with none	No official coding extension on the VS Code Marketplace		100 thousand to 50 million installs
SDK downloads PyPI and npm downloads of the official SDKs, last 30 days	Not applicable		100 thousand to 1 billion a month
Open-model downloads Hugging Face downloads of the lab's models, last 30 days	24358389 deepseek-ai	68	10 thousand to 1 billion a month	24 Sep
Shipping cadence Vikshy Wire: confirmed launches and updates of materiality 2 or more, last 90 days	4 4 confirmed launches and updates in 90 days	37	0 to 30 in 90 days	24 Sep
Biggest launch Vikshy Wire: the biggest launch in the last 90 days, fading with age	3.47	69	materiality 0 to 5	24 Sep
Rating per dollar Arena rating of the lab's best-value model, less 30 points for each doubling of its blended list price (3 parts input to 1 part output), with prices below $0.30 per million counted as $0.30	1477 deepseek-v3.2: 1425 at $0.30/M blended	57	1250 to 1650 points	24 Sep
Cloud availability Amazon Bedrock, Google Cloud and Microsoft Foundry: whether each offers the lab's current models as a managed, pay-per-use API (the flagship or the model one step behind it counts 1, an older generation only 0.5, open-weight side lines 0), dated by availability; facts and sources at /data/distribution.json	2 Amazon Bedrock: DeepSeek V3.2, V3.1, R1; no V4 (older generation, half); Google Cloud: V3.2, V3.1, R1 (deprecated, retiring 21 Oct 2026) (older generation, half); Microsoft Foundry: DeepSeek V4-Pro and V4-Flash	67	0 to 3 platforms	24 Sep
Open-weight hosts OpenRouter: distinct providers serving the lab's open-weight models; not applicable to a lab that publishes none (a closed model's reach is its cloud availability)	39 Relace, Morph, OpenInference, DekaLLM, Sail Research, DeepInfra, DeepSeek, StreamLake, Wafer, CoreWeave, Fireworks, Krea	89	1 to 60 providers	24 Sep
Developer interest Hugging Face likes on the lab's models	78654 deepseek-ai	76	1 thousand to 316 thousand likes	24 Sep
Hacker News Hacker News points on stories about the lab, last 30 days	2169 11 stories; top: DeepSeek v4.1 Flash (1016)	75	0 to 30,000 points	24 Sep
Press and analysts Vikshy Wire: press and analyst pieces on the lab's developments, last 30 days	3	22	0 to 60 pieces	24 Sep
Official API uptime The lab's own status page: 30-day uptime of the components that make up its model API, counting major outages in full and partial outages at 30%, the pages' own formula (degraded performance is not counted); labs label outages differently, so a measured cross-check sits beside it	99.8412 status.deepseek.com, DeepSeek V4 Pro and V4.1 Flash API: 99.841% over 30 days (0.1 h major, 3.5 h partial outage)	84	99% to 100% over 30 days	24 Sep
Measured uptime OpenRouter: the median uptime of the lab's own API endpoints, an independent cross-check of the status page, the mean of daily readings over 30 days	99.9478 mean of 30 daily readings, 2026-08-26 to 2026-09-24	99	90% to 100%	24 Sep
Independent assessments Independent assessments published by then, each put on 0 to 100: the Future of Life Institute AI Safety Index (40%), the Stanford Foundation Model Transparency Index (30%) and the SaferAI risk-management ratings (30%), averaged over those that cover the lab; a lab none covers is not independently assessed, and filled with the median like any gap	19.9 2 of 3 assessments: FLI AI Safety Index (2026-07) 0.47; Foundation Model Transparency Index (2025-12) 32	20	0 to 100	24 Sep
Customer data commitments From the lab's own documentation: API and business data not used for training by default; a zero-data-retention option; a choice of data region	0 none of the three commitments found	0	0 to 3 commitments	24 Sep
Security certifications From the lab's trust center: SOC 2 Type II, ISO/IEC 27001, ISO/IEC 42001 (AI management) covering its model API	0 none of SOC 2 Type II, ISO/IEC 27001, ISO/IEC 42001 found	0	0 to 3 certifications	24 Sep
Security and privacy incidents Security breaches, data leaks and regulatory privacy actions (bans, fines, orders) affecting the lab's AI services or caused by its AI systems in the last 12 months, from reputable reporting and regulators, counted once per public disclosure, and half when the lab itself disclosed harm from its AI with no legal duty to; every fact, and what was not counted and why, is at /data/trust.json	0 no security or privacy incident or regulatory action found in 12 months	100	0 to 3 in 12 months, fewer is better	24 Sep

What moved Direction

The developments that count most in the last 30 days. Direction ▲ 1.7.

All 2 developments, line by line

Points for materiality, times recency, times diminishing returns (or the setback cap).

Development	Materiality	Points	Recency	Diminish or cap	Counts
DeepSeek releases V4 Flash Vision experimental model 31 Aug · New open-weight model	3	1.5	0.6	0.63	+0.56
DeepSeek releases V4.1 Flash on Hugging Face 9 Sep · New open-weight model	3	1.5	0.75	1	+1.13

Latest from DeepSeek

What DeepSeek shipped, broke and changed lately. The full DeepSeek timeline, with every model it has released.

7 Aug
DeepSeek releases V4 Pro model on Hugging FaceModels · New model generation from a lab
31 Jul
DeepSeek releases V4 Flash model on Hugging FaceModels · New-generation model · 1M context · $0.14 in / $0.28 out per 1M · retired

All DeepSeek stories on the Wire