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Figstack VS Thalam

Compare Figstack VS Thalam and see what are their differences

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Figstack logo Figstack

Your intelligent coding companion

Thalam logo Thalam

OpenAI-compatible API gateway for GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more. One key, one endpoint, one bill. Pay per token, no lock-in.
Visit Website
  • Figstack Landing page
    Landing page //
    2022-09-23
  • Thalam One OpenAI-compatible API for every leading model
    One OpenAI-compatible API for every leading model //
    2026-09-06
  • Thalam Text, image, video and audio models in one catalog
    Text, image, video and audio models in one catalog //
    2026-09-06
  • Thalam Drop-in: change the base URL, keep your OpenAI SDK
    Drop-in: change the base URL, keep your OpenAI SDK //
    2026-09-06
  • Thalam Per-key spend caps, alerts, and a two-line switch
    Per-key spend caps, alerts, and a two-line switch //
    2026-09-06
  • Thalam Frontier models with context, latency and per-token pricing
    Frontier models with context, latency and per-token pricing //
    2026-09-06
  • Thalam Pay per token. No minimums, no lock-in.
    Pay per token. No minimums, no lock-in. //
    2026-09-06

Thalam is an OpenAI-compatible API gateway that gives developers a single key and endpoint to call GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more across text, image and video models. Pay per token with one unified bill, no per-provider contracts and no lock-in. Drop it into existing OpenAI SDK code by changing the base URL. Per-key spend caps and audit logs keep team usage visible.

Figstack

Website
figstack.com
Pricing URL
-
$ Details
Platforms
-
Release Date
2021 August
Edit details

Thalam

Website
thalam.ai
Pricing URL
Official Thalam Pricing
$ Details
freemium
Platforms
REST API Web-based Cloud
Release Date
2026 May
Edit details

Figstack features and specs

  • User-Friendly Interface
    Figstack offers a clean and intuitive user interface that makes it easy for users, regardless of technical skills, to navigate and use the platform efficiently.
  • Comprehensive Documentation Tools
    It provides robust documentation tools that allow users to document their code efficiently, contributing to better team collaboration and code maintainability.
  • Integration Capabilities
    Figstack integrates well with various development environments and tools, enhancing its utility and versatility across different projects and workflows.
  • Real-Time Collaboration
    The platform supports real-time collaboration among team members, increasing productivity and enabling quicker resolution of issues.

Possible disadvantages of Figstack

  • Pricing
    Figstack may be considered expensive for individuals or smaller teams, as it is priced towards larger teams and enterprise solutions.
  • Learning Curve
    While user-friendly, Figstack may have a moderate learning curve for users unfamiliar with similar documentation or collaboration tools, requiring some training.
  • Limited Offline Functionality
    The platform's capability might be limited without an active internet connection, which can be a drawback for teams working in remote or restricted environments.
  • Feature Overlap
    For teams already using established tools and platforms, Figstack might introduce redundant features, causing inefficiencies in tool management.

Thalam features and specs

  • OpenAI-Compatible Endpoint
    Point your existing OpenAI SDK at Thalam by changing the base URL. No rewrites, no new client library, no per-provider SDKs to maintain.
  • One Key for Many Models
    A single API key reaches GPT, Claude, Gemini, DeepSeek, Qwen, Kimi, GLM and more. Switch model by changing one string, with no new account or contract per provider.
  • Text, Image and Video in One API
    The same endpoint serves language, image and video models, so one integration covers text generation, image generation and video generation.
  • Per-Key Spend Caps
    Issue a separate key per app, environment or teammate, each with a hard spend limit. A runaway script stops at its cap instead of draining the balance.
  • Usage and Audit Logs
    Every request is logged with model, tokens and cost, so you can see exactly which app or teammate is spending what.
  • Pay Per Token, No Commitments
    Top up a balance and spend against it per token. One unified bill, no per-provider contracts and no lock-in.

Analysis of Thalam

Overall verdict

  • Thalam.ai appears to be an emerging AI-driven platform, and based on available information it shows promise for specific use cases, though it may lack the extensive track record of more established competitors. Suitability depends heavily on your specific needs and technical requirements.

Why this product is good

  • Offers AI-powered capabilities that can streamline certain workflows
  • May provide a modern, user-friendly interface for its target use case
  • Could be cost-effective compared to more established enterprise alternatives
  • Potentially offers innovative features tailored to niche use cases

Recommended for

  • Early adopters willing to try newer AI tools
  • Small to medium businesses or individuals with specific niche needs
  • Users looking for potentially budget-friendly AI solutions
  • Those who prioritize innovation over long-established track records

Category Popularity

0-100% (relative to Figstack and Thalam)

Figstack

Thalam

Developer Tools
80 80%
Developer Tools
20% 20
AI
70 70%
AI
30% 30
Productivity
100 100%
Productivity
0% 0
AI Tools
0 0%
AI Tools
100% 100

Questions & Answers

As answered by people managing Figstack and Thalam.

How would you describe the primary audience of your product?

Thalam's answer:

Developers and technical teams building AI features who don't want to maintain a separate integration for every model provider, from solo builders and startups to engineering teams at SMEs. There's a particular fit for teams in the GCC and the wider Middle East who want independent, self-serve access to frontier text, image and video models with regional billing support.

What's the story behind your product?

Thalam's answer:

Thalam started from a simple frustration: shipping with multiple AI models meant juggling separate keys, SDKs, billing relationships and rate limits for each provider. Thalam consolidates that into one OpenAI-compatible gateway: one key, one endpoint, one bill. Teams focus on building instead of managing provider plumbing. The goal is production-grade, independent access to the full range of text, image and video models, with first-class support for builders in the GCC.

Which are the primary technologies used for building your product?

Thalam's answer:

Thalam exposes OpenAI- and Anthropic-compatible REST APIs, so it works with the standard OpenAI and Anthropic SDKs and any OpenAI-compatible tooling, including LangChain, LlamaIndex and the Vercel AI SDK. It runs on modern cloud infrastructure with edge routing for low-latency access, and serves text, image and video model endpoints behind a single unified API.

What makes your product unique?

Thalam's answer:

Thalam is an OpenAI-compatible API gateway that puts text, image and video models behind a single key and endpoint. You call GPT, Claude, Gemini, DeepSeek, Qwen, Kling and more through the same OpenAI-style API you already use, so switching models is a one-line change, with one unified bill and per-key spend limits. It's an independent, self-serve, multimodal gateway, which is still uncommon, especially for teams building in the GCC.

Why should a person choose your product over its competitors?

Thalam's answer:

Because Thalam keeps integration simple and portable: one OpenAI-compatible key works across every model and modality, so you can adopt new models without re-plumbing your code or signing separate per-provider contracts. Billing is pay-per-token on a single invoice, with per-key spend limits for governance. Teams that want a single, production-grade integration point tend to find it a clean fit, including those operating in the GCC who value independent, self-serve access.

User comments

Share your experience with using Figstack and Thalam. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Figstack seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Figstack mentions (2)

  • I am trying to learn jdbc and am stuck at few place and need your help in understanding few things which are described below.
    I tried understanding things on figstack.com but it wasn't much helpful. Source: over 3 years ago
  • Figstack - The developer tool for non-developers
    Figstack is an intelligent coding companion for non-developers to understand code. You can use Figstack to ask questions about your code, have code explained step by step, translate between programming languages, etc... Source: almost 5 years ago

Thalam mentions (0)

We have not tracked any mentions of Thalam yet. Tracking of Thalam recommendations started around Jun 2026.

What are some alternatives?

When comparing Figstack and Thalam, you can also consider the following products

CodeStream - CodeStream helps development teams resolve issues faster, and improve code quality by streamlining code reviews inside your IDE

OpenRouter - A router for LLMs and other AI models

Refactor.io - Share your code instantly for refactoring and code review

Portkey - Build production-grade & reliable AI apps with Portkey

GitHub - Originally founded as a project to simplify sharing code, GitHub has grown into an application used by over a million people to store over two million code repositories, making GitHub the largest code host in the world.

liteLLM - One library to standardize all LLM APIs

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