Side-by-side comparison of AI visibility scores, market position, and capabilities
GPT-5 and o3 model family at $25B+ ARR; $840B post-money valuation (Feb 2026 round); ChatGPT 1B+ users; largest private fundraise in history ($110B). Competing with Anthropic Claude 4, Google Gemini 3, Meta Llama 4.
OpenAI is a San Francisco-based artificial intelligence company developing and deploying large-scale AI systems — including GPT-4o, o1 reasoning models, DALL-E 3 image generation, Sora video generation, and the Whisper speech recognition model — through the ChatGPT consumer product and OpenAI API for developers and enterprise customers. Founded in 2015 as a nonprofit by Sam Altman, Elon Musk, Greg Brockman, and others and restructured into a capped-profit company, OpenAI raised $157 billion in total funding including a $6.6 billion round in October 2024 at a $157 billion valuation and a $40 billion round from SoftBank in 2025, generating $3.7 billion in annualized revenue in 2024 with 400 million weekly ChatGPT users.
Serverless GPU cloud platform for AI/ML with Python-native deployment and per-second billing; developer-favorite scaling from zero competing with Replicate and Beam for AI compute.
Modal is a serverless cloud computing platform purpose-built for AI and machine learning workloads — providing on-demand GPU compute that scales instantly from zero with per-second billing, container management, distributed training support, and a Python-native developer experience that makes running ML workloads in the cloud feel as simple as running code locally. Founded in 2021 in New York City and backed by Redpoint Ventures and other investors, Modal has grown rapidly as AI development has accelerated demand for flexible, developer-friendly GPU infrastructure.\n\nModal's developer experience is its primary differentiator — engineers write Python functions decorated with @modal.function() and deploy them to the cloud with a single command, with Modal handling container building, GPU provisioning, auto-scaling, and execution. The platform supports training jobs that need distributed compute across multiple GPUs, model serving endpoints that scale to zero when unused (eliminating idle GPU costs), and batch inference jobs that process large datasets. The per-second billing model means developers pay only for actual compute time, not provisioned instances.\n\nIn 2025, Modal competes in the AI infrastructure market with Replicate, Beam, Banana, and major cloud providers' managed ML services (AWS SageMaker, Google Vertex AI, Azure ML) for serverless GPU compute. The market for AI-specific cloud infrastructure has grown dramatically as the number of ML engineers deploying models to production has expanded — traditional cloud providers require significant DevOps expertise to use GPU instances effectively, while Modal's Python-native approach reduces the barrier to entry. Modal has attracted a strong developer following among AI researchers and ML engineers building production AI applications. The 2025 strategy focuses on growing the developer community, adding enterprise features (dedicated GPU capacity, private networking, compliance), and expanding the hardware options available (H100 GPUs, custom accelerators).
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.