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Coding Agents

The best coding agents run on Baseten

Train your own custom and open source models and make every request instant with inference fast enough for real-time interactions.

Use Cases

The engine behind the agent

Baseten powers platforms generating production code at every scale.

Coding agents

Build the next coding assistant delivering sub-second performance for real-time autocomplete and the scale for autonomous agents that plan, code, and iterate across any workflow.

Design to code

Power tools that bridge design and development—from instant conversion of mockups into React components to intelligent systems that generate complete, styled applications from design files.

AI app builders

Turn prompts into production apps—delivering the performance to generate complete full-stack code from natural language and the scale to support platforms building thousands daily.

Quinn Slack  logo

Baseten has fantastic optimizations and performs very well on our speed and quality metrics, which is why we chose it for many key features of Amp, including Amp Tab. The Baseten team has also made a big difference - smart people who work directly with us, solve our problems, and ship fast.

Quinn Slack
CEO, Amp

Outperform closed-source models

Fine tune open-source models for your custom coding workflows with better performance than closed models at significantly lower cost.

Achieve the highest quality

Partner with world-class AI researchers to train custom coding models you control, with full access to weights and training data.

Lower compute spend

Minimize costs through intelligent batching, smart routing between model sizes, and GPU resource optimization.

Scale globally without latency

Deploy across 10+ cloud providers to position models regionally for consistently fast code generation around the world.

Make model optimization expertise your competitive advantage

Build coding agents fast enough to keep your devs in flow with sub-100ms responses that feel instant.

99.99% uptime

Recover from cloud outages in minutes, not hours. Multi-cloud capacity management automatically scales replicas and reroutes traffic 6x faster than single-provider solutions.

Own your optimizations

Full transparency into model performance - every optimization technique is visible, configurable, and yours to own. No black boxes, no vendor lock-in.

Low p99 latencies

Get consistently fast responses with optimized inference engines, streaming, speculative decoding, and torch compile caching that reduces cold starts, and optimal hardware.

Get started with the top open source models for coding out-of-the-box

Models

DeepSeek V3.2

DeepSeek V3.2

DeepSeek's new hybrid reasoning model with efficient long context scaling

Kimi K2 Thinking
Model API

Kimi K2 Thinking

A 1 trillion parameter reasoning model for agents, coding, and writing

GLM 4.7
Model API

GLM 4.7

Frontier open model with advanced coding, agentic, and reasoning capabilities by Z AI

Power any coding agent workflow with Baseten

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Customer Story

Zed Industries serves 2x faster code completions with the Baseten Inference Stack

Zed Industries serves 2x faster code completions with the Baseten Inference Stack

Ready the case study

Zed Industries serves 2x faster code completions with the Baseten Inference Stack

Ready the case study
News

Parsed + Baseten: Building Models That Touch Grass

By combining Parsed’s training systems with Baseten’s inference and current training stack, we are building a unified platform for the next era of AI development.

Read the news

By combining Parsed’s training systems with Baseten’s inference and current training stack, we are building a unified platform for the next era of AI development.

Read the news
AI Engineering

From Prompt to Production: Baseten Inference in Your IDE with Cline

Get Started with Kimi K2, Qwen3 Coder, and DeepSeek R1 via Baseten with Cline

Read the guide

Get Started with Kimi K2, Qwen3 Coder, and DeepSeek R1 via Baseten with Cline

Read the guide
Model performance

DeepSeek V3.2's path to GPT-5-level performance: sparse attention, RL at scale, and context reuse

The top 3 direction‑setting contributions of the DeepSeek-V3.2 every ML engineer should know, explained intuitively

Read the blog

The top 3 direction‑setting contributions of the DeepSeek-V3.2 every ML engineer should know, explained intuitively

Read the blog
Infrastructure

How we built Multi-cloud Capacity Management (MCM)

We built Multi-cloud Capacity Management to unify 10+ clouds into a global GPU pool, enabling infinite scaling and 99.99% uptime for mission-critical workloads.

Read the blog

We built Multi-cloud Capacity Management to unify 10+ clouds into a global GPU pool, enabling infinite scaling and 99.99% uptime for mission-critical workloads.

Read the blog
AI engineering

Kimi K2 Explained: The 1 Trillion Parameter Model Redefining How to Build Agents

How Kimi works under the hood and how to run it today to power your agents

Read the blog

How Kimi works under the hood and how to run it today to power your agents

Read the blog

Speed your end users will actually feel.

Explore Baseten today.

Coding Agents