LLM Stats
LLM Stats is an independent AI benchmarking platform that ranks 300+ AI models across 15+ benchmarks using a composite TrueSkill-based score. It serves AI developers, researchers, and enterprises through free web-based leaderboards, comparison tools, interactive arenas, a newsletter, and a ZeroEval-backed API.
- Company typePrivate
- Founded2025
- HeadquartersNew York, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What LLM Stats does
LLM Stats operates an independent AI benchmarking platform at llm-stats.com that ranks and compares more than 300 AI models — including GPT, Claude, Gemini, Llama, DeepSeek, Qwen, Mistral, and GLM — across reasoning, coding, writing, research, long-context, tool calling, image generation, video generation, audio, and embeddings use cases. Its core product is the LLM Leaderboard, supported by category-specific leaderboards, a Model Compare tool, and four interactive arenas (Chat, Coding, Image, Video) where users can test models head-to-head. The platform's proprietary LLM Stats Score is a composite metric that blends verified benchmark results (GPQA Diamond, SWE-Bench Verified, coding-arena performance), live API throughput (tokens/second on a 7-day rolling window), and per-token pricing (revalidated hourly) into a single comparable ranking number using TrueSkill ratings.
The target audience is AI developers, researchers, and enterprises evaluating frontier models for production deployment or cost optimization, plus a secondary audience of open-source AI enthusiasts comparing open-weights options. Distribution is entirely self-serve through the website, driven by SEO-optimized pages for each tracked model and a weekly curated newsletter that positions the company as a filter against noise in the AI market. The underlying API infrastructure is provided by ZeroEval.
The business model is freemium: all leaderboards, comparison tools, and arenas are accessible at no cost, and the platform references a programmatic API gateway (via ZeroEval) for developer integrations. No pricing tiers, enterprise contracts, sponsorship arrangements, or paid subscriptions are publicly disclosed. The company is privately held, founded in 2025, based in New York, and operates with 1-10 employees; no funding rounds, ownership structure, or management team information is available.
LLM Stats firmographics
Firmographics- Name
- LLM Stats
- Legal name
- LLM Stats
- Website
- https://llm-stats.com
- Company type
- Private
- Founded year
- 2025
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- LLM Stats is an independent AI benchmarking platform that ranks 300+ AI models across 15+ benchmarks using a composite TrueSkill-based score. It serves AI developers, researchers, and enterprises through free web-based leaderboards, comparison tools, interactive arenas, a newsletter, and a ZeroEval-backed API.
- Ownership category
- akta.pro rank
LLM Stats industry classification
Industry- Product category
- AI Model Benchmarking
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- Model Testing, Validation & Quality Assurance (HDAAABAH)
- akta.pro secondary industries
- Experiment Tracking, Metadata & Model Registry (HDAAABAC), Prompt Engineering, Orchestration & LLMOps Tooling (HDAAACAD)
Keywords
Where LLM Stats is headquartered
LocationHeadquarters
- HQ city
- New York
- HQ country
- United States
- HQ region
- North America
Markets served
LLM Stats business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Free Access Model: The platform appears to offer free access to leaderboards, comparison tools, arenas, and benchmarking data. Revenue generation mechanisms are not explicitly disclosed in the available source material, though the platform references ZeroEval infrastructure and an API.
- Newsletter Subscription: Weekly curated digest of models, benchmarks, and analysis delivered via email newsletter to subscribers, potentially monetized through sponsored content or premium subscriptions.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Monthly | Free access to all core platform features |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels5 records
LLM Stats product offering
Product offeringCore offering
LLM Stats operates an independent AI benchmarking platform that ranks and compares 300+ AI models from major labs (OpenAI, Anthropic, Google, xAI, Meta, ByteDance, Zhipu AI, Alibaba/Qwen, DeepSeek, Mistral, GLM, Llama) using a composite LLM Stats Score that aggregates public benchmark results (GPQA Diamond, SWE-Bench Verified, coding-arena), live API performance metrics (output throughput, time-to-first-token), and per-token pricing. The platform delivers multi-category leaderboards, interactive Arenas for head-to-head model testing (chat, coding, image, video), a side-by-side Model Compare tool, a benchmark reference suite, and a programmatic LLM API Gateway for developers.
Product overview
LLM Stats is an independent AI benchmarking hub providing comprehensive rankings of 300+ AI models through a multi-component platform. The core product is the LLM Leaderboard which ranks models by the composite LLM Stats Score, supplemented by the Open LLM Leaderboard for open-source models. Specialized leaderboards cover Coding, Writing, Math, Research, Long Context, Tool Calling, Reasoning, Image Generation, and Video Generation. The platform includes Arenas (Coding Arena, Image Arena, Video Arena, Chat Arena/Playground) for interactive model testing, plus a Model Compare tool and Benchmarks Suite. Content services include AI News with weekly newsletter. An API Gateway enables programmatic access to the evaluation infrastructure. The platform aggregates data from public benchmarks (GPQA, SWE-Bench Verified, coding-arena) and live API metrics to provide continuous, independent model rankings.
Differentiator
Problem solved
Functional benefit
Products and services
- LLM Leaderboard
Quantifiable outcome
- 331 AI models tracked across all major labs
- +2 more outcomes
Companies that use LLM Stats
Customer profileSegments3 records
Ideal customer profiles3 records
LLM Stats technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability12 records
Feature6 records
LLM Stats partnerships and signals
Strategic signalScale indicators4 records
Expansion highlights5 records
LLM Stats competitors and assessment
Company assessmentOthers
- Weights & Biases: W&B provides ML experiment tracking, model registry, and LLM evaluation tooling. Comparable as a model lifecycle and evaluation platform but serves a broader ML audience beyond just LLMs.
- LangSmith (LangChain): LangSmith provides LLM application observability and evaluation tooling. Comparable as part of the LLMOps ecosystem serving AI developers, though focused on application-layer evaluation rather than model-level benchmarking.
Direct peers
- OpenRouter: OpenRouter provides an LLM routing gateway with model comparisons and pricing across providers. Comparable in API gateway positioning and multi-model comparison UX; integrates ZeroEval-adjacent evaluation infrastructure.
- Artificial Analysis: Artificial Analysis provides independent LLM benchmarking with emphasis on speed, price, and quality tradeoffs. Closely comparable product offering (composite scoring, live API metrics, model comparisons) and overlapping enterprise buyer persona.
- LMArena (formerly LMSYS Chatbot Arena): LMArena pioneered head-to-head model comparisons via crowdsourced arena voting. Directly comparable on the arena-based evaluation concept, with stronger academic pedigree and brand recognition in the AI research community.
- Chatbot Arena (LMSYS): LMSYS Chatbot Arena pioneered crowdsourced LLM evaluation through pairwise comparisons. Direct peer in arena-based methodology, with stronger academic credibility (UC Berkeley, UCSD, CMU) and longer track record.
- Vellum AI LLM Leaderboard: Vellum publishes an LLM leaderboard comparing frontier models on quality, speed, and cost. Directly comparable as a benchmarking resource targeting enterprise AI evaluation workflows, with broader enterprise tooling context.
- HuggingFace Open LLM Leaderboard: HuggingFace operates the Open LLM Leaderboard tracking open-source model benchmarks. Directly comparable as a community standard for LLM evaluation with overlapping benchmark suite (MMLU, GPQA, etc.) and audience (AI developers and researchers).
Broad incumbents
- Scale AI Leaderboard: Scale AI operates SEAL Leaderboards and broader AI evaluation services. Comparable on benchmark publishing but with substantially larger organization, broader enterprise footprint, and adjacent data labeling business.
- Stanford HELM (Holistic Evaluation of Language Models): Stanford CRFM's HELM is an academically-backed benchmarking framework with broad multi-metric evaluation. Comparable in methodology but with stronger institutional backing, more transparent peer-reviewed approach, and broader scope.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat4 records
Key risks5 records
Key highlights5 records
Customer concentration
LLM Stats social profiles
Digital presenceLLM Stats financial estimates
Financial estimateRevenue estimate
Valuation estimate
LLM Stats leadership team
Management profileNumber of profiles
LLM Stats funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
LLM Stats M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about LLM Stats
What does LLM Stats do?
LLM Stats operates an independent AI benchmarking platform that ranks and compares 300+ AI models from major labs (OpenAI, Anthropic, Google, xAI, Meta, ByteDance, Zhipu AI, Alibaba/Qwen, DeepSeek, Mistral, GLM, Llama) using a composite LLM Stats Score that aggregates public benchmark results (GPQA Diamond, SWE-Bench Verified, coding-arena), live API performance metrics (output throughput, time-to-first-token), and per-token pricing. The platform delivers multi-category leaderboards, interactive Arenas for head-to-head model testing (chat, coding, image, video), a side-by-side Model Compare tool, a benchmark reference suite, and a programmatic LLM API Gateway for developers.
Is LLM Stats a public or private company?
LLM Stats is a private company. It is classified as unknown and is currently operating.
When was LLM Stats founded?
LLM Stats was founded in 2025. It employs 1 to 10 people.
Where is LLM Stats based?
LLM Stats is headquartered in New York, United States, in the North America region.
How does LLM Stats make money?
Two revenue lines are on record. Free Access Model is the primary driver. The others are newsletter Subscription.
Who are LLM Stats's main competitors?
Others on record are Weights & Biases and LangSmith (LangChain). Direct peers are OpenRouter, Artificial Analysis, LMArena (formerly LMSYS Chatbot Arena), Chatbot Arena (LMSYS), Vellum AI LLM Leaderboard and HuggingFace Open LLM Leaderboard. Broad incumbents are Scale AI Leaderboard and Stanford HELM (Holistic Evaluation of Language Models).
Does LLM Stats have an API?
Yes. Public API for LLM gateway/evaluation infrastructure. Enables programmatic access to model rankings, benchmark results, and performance metrics. Routing standardized prompts through provider APIs for performance measurement. Developer documentation is at docs.zeroeval.com/llm-gateway/introduction.
What industry is LLM Stats in?
LLM Stats's product category is AI Model Benchmarking. Its primary akta.pro industry code is HDAAABAH, Model Testing, Validation & Quality Assurance, with a secondary code of HDAAABAC, Experiment Tracking, Metadata & Model Registry. Its NAICS code is 5182 and its SIC code is 7370.