- Add Baseten provider type definitions with 10 models - Implement BasetenHandler extending BaseOpenAiCompatibleProvider - Add Baseten UI component for API key configuration - Add validation logic for Baseten API key - Include Baseten in provider settings schema and constants - Add Baseten translations (basetenApiKey, getBasetenApiKey) - Add basetenApiKey to SECRET_STATE_KEYS for proper storage - Add Baseten provider documentation - Default model: moonshotai/Kimi-K2-Thinking
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| title | description |
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| Baseten | Learn how to configure and use Baseten's Model APIs with Roo Code. Access frontier open-source models with enterprise-grade performance, reliability, and competitive pricing. |
Baseten provides on-demand frontier model APIs designed for production applications, not just experimentation. Built on the Baseten Inference Stack, these APIs deliver optimized inference for leading open-source models from OpenAI, DeepSeek, Moonshot AI, and Alibaba Cloud.
Website: https://www.baseten.co/products/model-apis/
Getting an API Key
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Sign Up/Sign In: Go to Baseten and create an account or sign in.
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Navigate to API Keys: Access your dashboard and go to the API Keys section at https://app.baseten.co/settings/api_keys.
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Create a Key: Generate a new API key. Give it a descriptive name (e.g., "Roo Code").
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Copy the Key: Copy the API key immediately and store it securely.
Configuration in Roo Code
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Open Roo Code Settings: Click the settings icon (⚙️) in the Roo Code panel or open VS Code settings.
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Select Provider: Choose "Baseten" from the "API Provider" dropdown.
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Enter API Key: Paste your Baseten API key into the "Baseten API Key" field.
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Select Model: Choose your desired model from the "Model" dropdown.
IMPORTANT: For Kimi K2 Thinking: To use the moonshotai/Kimi-K2-Thinking model, you must enable Native Tool Call (Experimental) in Roo Code settings. This setting allows Roo Code to call tools through their native tool processor and is required for this reasoning model to function properly.
Supported Models
Roo Code supports all current models under Baseten Model APIs, including:
For the most updated pricing, please visit: https://www.baseten.co/products/model-apis/
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moonshotai/Kimi-K2-Thinking(Moonshot AI) - Enhanced reasoning capabilities with step-by-step thought processes (262K context) - $0.60/$2.50 per 1M tokens -
zai-org/GLM-4.6(Z AI) - Frontier open model with advanced agentic, reasoning and coding capabilities by Z AI (200k context) $0.60/$2.20 per 1M tokens -
moonshotai/Kimi-K2-Instruct-0905(Moonshot AI) - September update with enhanced capabilities (262K context) - $0.60/$2.50 per 1M tokens -
openai/gpt-oss-120b(OpenAI) - 120B MoE with strong reasoning capabilities (128K context) - $0.10/$0.50 per 1M tokens -
Qwen/Qwen3-Coder-480B-A35B-Instruct- Advanced coding and reasoning (262K context) - $0.38/$1.53 per 1M tokens -
Qwen/Qwen3-235B-A22B-Instruct-2507- Math and reasoning expert (262K context) - $0.22/$0.80 per 1M tokens -
deepseek-ai/DeepSeek-R1- DeepSeek's first-generation reasoning model (163K context) - $2.55/$5.95 per 1M tokens -
deepseek-ai/DeepSeek-R1-0528- Latest revision of DeepSeek's reasoning model (163K context) - $2.55/$5.95 per 1M tokens -
deepseek-ai/DeepSeek-V3.1- Hybrid reasoning with advanced tool calling (163K context) - $0.50/$1.50 per 1M tokens -
deepseek-ai/DeepSeek-V3-0324- Fast general-purpose with enhanced reasoning (163K context) - $0.77/$0.77 per 1M tokens
Production-First Architecture
Baseten's Model APIs are built for production environments with several key advantages:
Enterprise-Grade Reliability
- Four nines of uptime (99.99%) through active-active redundancy
- Cloud-agnostic, multi-cluster autoscaling for consistent availability
- SOC 2 Type II certified and HIPAA compliant for security requirements
Optimized Performance
- Pre-optimized models shipped with the Baseten Inference Stack
- Latest-generation GPUs with multi-cloud infrastructure
- Ultra-fast inference optimized from the bottom up for production workloads
Cost Efficiency
- 5-10x less expensive than closed alternatives
- Optimized multi-cloud infrastructure for efficient resource utilization
- Transparent pricing with no hidden costs or rate limit surprises
Developer Experience
- OpenAI compatible API - migrate by swapping a single URL
- Drop-in replacement for closed models with comprehensive observability and analytics
- Seamless scaling from Model APIs to dedicated deployments
Special Features
Function Calling & Tool Use
All Baseten models support structured outputs, function calling, and tool use as part of the Baseten Inference Stack, making them ideal for agentic applications and coding workflows.
Tips and Notes
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Static Model List: Roo Code uses a curated list of Baseten models. The default model is
moonshotai/Kimi-K2-Thinking. -
Multi-Cloud Capacity Management (MCM): Baseten's multi-cloud infrastructure ensures high availability and low latency globally.
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Support: Baseten provides dedicated support for production deployments and can work with you on dedicated resources as you scale.
Pricing Information
Current pricing is highly competitive and transparent. For the most up-to-date pricing, visit the Baseten Model APIs page. Prices typically range from $0.10-$6.00 per million tokens, making Baseten significantly more cost-effective than many closed-model alternatives while providing access to state-of-the-art open-source models.