Baseten API
Researched 3d agoInference PlatformTier 2Baseten
Baseten API exposes 14 tracked models (0 with output token pricing in seed data). Task coverage across this catalog includes coding, long context, and classification; open any model detail page for benchmarks, batch tiers, and migration prompts.
Portfolio context: 4 decision-task tags, 14 catalog rows, latest research stamp 2026-06-01.
Use this portfolio page for
- Operators routing coding, long context, and classification workloads through this API
Do not stop here for
- Final benchmark picks without opening the relevant model detail page
- Strict price-per-token comparisons until output pricing is sourced
Catalog rows
14
Models linked to this provider in seed data
Priced output routes
0
Add output pricing to unlock comparisons
Cheapest output
Unknown
Need positive token_out rows
Batch-ready SKUs
0
No batch pricing tracked
Latest catalog ship
2024-04-23
772d since dated release field
Freshness
2026-06-01
Researched 3d ago
Catalog release signal
Latest ISO-dated model.release in this catalog is 2024-04-23 (772d ago).
Where this host wins
- Coding: 6 tracked models with SWE-bench / HumanEval-style scores.
- Long-context: 1 tracked model with context-token or InfiniteBench-class signal.
- Classification: 8 tracked models with MMLU-class moderation/safety coverage.
- JSON/tool-use: 4 tracked models with BFCL / Nexus strict-JSON routing coverage.
Getting started
Official entry points from seed metadata — confirm quotas and regions in vendor docs.
Compliance notes (verbatim seed excerpts)
Not yet verified from seed copy — no SOC/ISO/HIPAA-class sentences detected to quote verbatim.
Platform Overview
The AI platform offers a comprehensive suite of features designed to streamline the development and deployment of machine learning models. At its core, the platform supports open-source models, allowing developers to leverage existing frameworks and tools for their AI applications. This flexibility is coupled with rapid deployment capabilities, enabling organizations to quickly bring their models into production environments. The platform's architecture is built for scalability, accommodating fluctuating workloads and user demands without compromising performance. A standout feature is its high-speed inference capabilities, crucial for applications that require real-time data processing and decision-making. Cost-effectiveness is a key advantage of the platform, implementing a pay-as-you-go model that minimizes initial investments while optimizing resource utilization. The platform also boasts flexible deployment options, allowing users to deploy models across various environments including cloud, on-premises, or edge devices. This versatility empowers organizations to tailor their deployment strategies to specific needs and existing infrastructure. By combining these features, the platform provides a robust solution that enables businesses to fully harness the potential of AI while maintaining control over costs and deployment logistics.
Compare per-model pricing, input and output token costs, batch availability, and benchmark coverage.
Available Models(14)
View all →All models available as Serverless
Contact provider for pricing
Platform Details
Organization
Baseten is an AI infrastructure platform that provides comprehensive tools for deploying and serving machine learning models efficiently and cost-effectively. The platform offers: 1. Rapid deployment: Users can deploy models in minutes, avoiding complex processes. 2. Support for open-source models: Baseten allows deployment of best-in-class open-source models. 3. Optimized serving: The platform provides optimized serving for custom models. 4. Scalability: Horizontally scalable services enable smooth transition from prototype to production. 5. High-speed inference: Baseten offers fast inference on infrastructure that automatically scales with traffic. 6. Cost-efficiency: The platform includes a scaled-to-zero feature to optimize costs. 7. Flexible deployment options: Models can be run on Baseten's cloud or the user's infrastructure. Baseten aims to simplify the ML deployment process while ensuring performance, scalability, and cost-efficiency for AI builders and developers.