2023 · Oct 9
Changed model IDs for better management and tracking.

The developer-first AI inference platform for deploying and scaling machine learning models
90
Overall score
49
Heat score
Inputs
Model artifacts, API requests, Deployment configurations
Outputs
Deployed models, API endpoints, Monitoring data, Scaling metrics
AI Type
LLM
Model Architecture
Custom/Proprietary
Daily Prompts
N/A
Context Length
1M
Accuracy
91%
Content
89%
Reasoning
92%
Company
Baseten
Founded
2019
HQ
San Francisco, California
Employees
150
Total Raised / Total Funding
$585M
Revenue
N/A
Valuation
$5B
ARR
$45M
CEO
Amir Haghighat
Estimated Paid Users
50K
Current estimate
Total Earnings Till Date
$150M
+25.00% from last month
Market Share
5.5%
Current share
Average Session
45
Per active user
Hallucination Rate
2%
Model quality signal
Growth Rate
+25.00%
Monthly active users
Burn Rate
$25M
Total expenses / years active
Paid User Gain
+20.00%
Monthly paid user trend
$2M
Total Loss
$0
Total Profit
$2.6M
Accuracy
91%
Context
89%
Reasoning
92%
Safety
90%
MMLU
85.5%
GSM8K
92%
Type: Multimodal
Description: Latest model for enhanced inference capabilities.
Context Length: 1M tokens
Architecture: Custom/Proprietary
Type: Speech
Description: Model for audio processing and transcription.
Context Length: 1M tokens
Architecture: Custom/Proprietary
Total Funding
$585M
Rounds
2
Series E
$300MDec 2025
Source: AI Indigo
Series D
$150MSep 2025
Source: Silicon Valley Daily
Amir Haghighat
CEO
No direct competitors available.
2023 · Oct 9
Changed model IDs for better management and tracking.
2026 · Mar 23
Deprecation of Kimi K2 models; users need to migrate to updated versions.
Industry: Not specified
Compliances: Not specified
Integrations: GitHub, Slack
Support:email, help center
Target audience: Software Developers, Machine Learning Engineers, Data Scientists, AI Researchers, Product Managers
Supported languages: English, Python, JavaScript, REST API, GraphQL
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December 10, 2025
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Baseten automates the deployment process, providing auto-scaling, monitoring, and a user-friendly interface for deploying models without complex setup.
Baseten supports open-source models, custom models, and integrates with popular frameworks like PyTorch and TensorFlow.