
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
#1Arize AI records 249,028 monthly visits with +3.2% month-over-month growth and Paid, Contact for Pricing pricing. Google AI Studio records 112,620,020 monthly visits with +2% growth and Freemium pricing.

Agent observability, evaluation, and continuous improvement for production AI
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | arize.com | aistudio.google.com |
| Pricing Model | Paid, Contact for Pricing | Freemium |
| Monthly Visits | 249.03K (249,028) | 112.62M (112,620,020) |
| MoM Traffic Delta |
|---|
| +7.67K (+3.2%) |
| +2.19M (+2%) |
| Primary Market & Share | 🇺🇸 United States (51.6%) | 🇺🇸 United States (11.3%) |
|---|
| Direct Visits / mo | 107.84K | 60.81M |
|---|
| User Rating | 4.6 | 4.8 |
|---|
| Supported Platforms | Website | Website |
|---|

Agent observability, evaluation, and continuous improvement for production AI
Capture spans, traces, and sessions across agents and LLM calls using OpenInference conventions built on OpenTelemetry, so instrumentation stays portable.
Run evaluations at span, trace, and session level to grade retrieval quality, tool use, and final answers across large production datasets.
An in-product agent that inspects traces, diagnoses likely root causes, and proposes fixes that engineers can review before shipping.
Self-host the leading open-source tracing and eval tool when you need to keep trace data inside your own infrastructure.

Google's rapid prototyping IDE and developer API workbench for building multimodal applications with Gemini models.
Allows developers to drop hours of video, multi-track audio files, high-resolution images, entire codebases, and multi-hundred-page PDFs directly into the prompt window with up to 1,000,000 tokens of shared context.
Provides direct access to Google's frontier reasoning and agentic models with granular controls over thinking tokens, temperature, function declarations, and strict JSON schema output validation.
Includes a dedicated `/live` studio interface for testing sub-second, bidirectional voice and screen/camera interactions powered by `gemini-3.8-live`, `gemini-3.8-live-extended-thinking`, and `gemini-3.5-live-translate-preview`.
Connects model responses to live Google Search results and Google Maps geospatial data with a single toggle, including 5,000 free grounded requests per month on Paid tiers before $14/1,000-query metering.

Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
#1One API key for hundreds of AI models from every major provider

Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building
#3
Free / Open-sourceGoogle's family of lightweight, open-weight AI models


SpecialistOne API for 1,500+ production-ready generative media models

SpecialistTogether AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.


SpecialistRun, fine-tune, and deploy machine learning models with one line of code

Free / Open-sourceLow-cost serverless inference APIs for 200+ open models

Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
SpecialistOne API for fast, cost-predictable inference on LLMs and multimodal models
SpecialistOne cloud for 200+ model APIs, agent sandboxes and GPU compute

Free / Open-sourceIncludes integrated guardrails and simulation tools, but is less mature for large-scale enterprise production telemetry monitoring.
Enterprise developer platform and API for deploying GPT-6 Astra, Sol, Luna, and realtime multimodal agents.
Zhipu AI's open platform for GLM large models, multimodal APIs, and agent building
Free / Open-sourceGoogle's family of lightweight, open-weight AI models
SpecialistTogether AI is the AI Native Cloud — a full-stack platform for running, fine-tuning and training open-source models. It spans serverless inference APIs, dedicated endpoints, GPU clusters, post-training and storage, all backed by in-house systems research.
SpecialistRun, fine-tune, and deploy machine learning models with one line of code
Excels at experiment tracking and model registry workflows, but is less purpose-built for real-time LLM production observability.
SpecialistOne API for fast, cost-predictable inference on LLMs and multimodal models
Free / Open-sourceIncludes integrated guardrails and simulation tools, but is less mature for large-scale enterprise production telemetry monitoring.