LLM Reference
Baseten API

Baseten API

Researched 3d agoInference PlatformTier 2

Baseten

CodingRAGAgentsLong contextVisionClassificationJSON / Tool useAI

Baseten API offers 15 tracked models (1 with output token pricing). This catalog covers coding, rag, and agents; open any model detail page for benchmarks, batch tiers, and migration prompts.

Covers 7 workload areas across 15 tracked models; last verified 2026-07-15.

Use it for

  • Teams comparing token and batch pricing across this provider's models
  • Operators routing coding, rag, and agents workloads through this API

Do not use it for

  • Final benchmark picks without opening the relevant model detail page

Tracked models

15

Models available through this provider

Priced output routes

1

Models with output token pricing tracked

Cheapest output

$4.05

Inkling on this route

Batch-ready models

0

No batch pricing tracked

Latest model release

2026-07-15

3d since newest release

Freshness

2026-07-15

Researched 3d ago

fresh

Information

TypeInference Platform
TierTier 2
Models15
CompanyBaseten
Founded2019
San Francisco, California, United States

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.

Catalog freshness

The newest model tracked on this provider was released 2026-07-15 (3d ago).

Where this host wins

  • Coding: 6 tracked models with SWE-bench / HumanEval-style scores.
  • RAG: 1 tracked model with ruler / needle retrieval benchmarks.
  • Agentic: 1 tracked model with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 2 tracked models with context-token or InfiniteBench-class signal.

Getting started

Official product, docs, and pricing links — confirm quotas and regions in the vendor docs.

Compliance notes

No verified compliance claims (SOC 2, ISO, HIPAA) tracked for this provider yet — check the vendor's trust center for current certifications.

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(15)

View all →
ModelInput (per 1M)Output (per 1M)Type
Inkling$1.00$4.05
ServerlessProvisioned
Phi-3 Mini 128K
Serverless
Phi-3 Mini 4k
Serverless
Llama 3 70B Instruct
Serverless
Llama 3 8B Instruct
Serverless
Mixtral 8x22B v0.1
Serverless
NSQL 350M
Serverless
Mixtral 8x7B
Serverless
Zephyr 7B Alpha
Serverless
Mistral 7B v0.1
Serverless
View full catalog →

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